Geographic area determination method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the technical field of geographic information data processing, and provides a geographic area determination method and device, electronic equipment and a readable storage medium. The method comprises the following steps: rasterizing vector data of a to-be-processed area to obtain raster data of the to-be-processed area; processing the raster data of the to-be-processed area to obtain subset area raster data corresponding to the vector data of the to-be-processed area; screening to obtain target area raster data corresponding to the subset area raster data; processing the target area raster data to obtain structurally arranged target area raster data corresponding to the target area raster data; performing classification processing on the target area raster data in the structured arrangement to obtain category data corresponding to the target area raster data in the structured arrangement; and merging the raster data of the target areas arranged in the structured manner to obtain vector data corresponding to the target geographic area.

Description

Technical Field

[0001] The present disclosure relates to the field of geographic information data processing technology, and in particular to a method, device, electronic device and readable storage medium for determining a geographic area. Background Art

[0002] With the rapid development of big data technology, data from various fields in cities are constantly collected and analyzed. These data include population distribution, economic indicators, consumption habits, traffic flow, etc., which provide strong support for the division of urban target areas, making the division more accurate and scientific. The target area division of existing technologies is processed by manually constructing prediction plans and screening conditions and analyzing data. However, this area division method has low accuracy and complex execution process due to manual division and subjective judgment, which reduces the accuracy of screening condition judgment.

[0003] It can be seen that the existing technology has problems such as low accuracy of division results, complex execution process, and low accuracy of screening condition judgment due to manual division and subjective judgment. Summary of the invention

[0004] In view of this, the embodiments of the present disclosure provide a method, device, electronic device and readable storage medium for determining a geographic area to solve the problems in the prior art of low accuracy of division results, complex execution process and low accuracy of screening condition judgment due to manual division and subjective judgment.

[0005] According to a first aspect of an embodiment of the present disclosure, a method for determining a geographic region is provided, including: rasterizing vector data of an area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed; processing at least one raster data of the area to be processed according to a preset subset region screening condition to obtain subset region raster data corresponding to the vector data of the area to be processed; performing target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data; processing the target region raster data through a preset data mapping structure to obtain structured target region raster data corresponding to the target region raster data; classifying the structured target region raster data according to a preset geographic region classification condition to obtain category data corresponding to each structured target region raster data; merging the target region raster data of each structured arrangement based on the category data corresponding to each structured target region raster data to obtain vector data corresponding to the target geographic region.

[0006] According to a second aspect of an embodiment of the present disclosure, a device for determining a geographic region is provided, including: a first processing module, for rasterizing vector data of a region to be processed based on a preset raster resolution to obtain at least one raster data of the region to be processed; a second processing module, for processing at least one raster data of the region to be processed according to a preset subset region screening condition to obtain subset region raster data; a third processing module, for performing target screening processing on the subset region raster data to obtain target region raster data; a fourth processing module, for processing the target region raster data through a preset data mapping structure to obtain structured target region raster data; a fifth processing module, for classifying the structured target region raster data according to a preset geographic region classification condition to obtain category data corresponding to each structured target region raster data; and a sixth processing module, for merging the target region raster data of each structured arrangement based on the category data corresponding to each structured target region raster data to obtain vector data corresponding to the target geographic region.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0009] Compared with the prior art, the disclosed embodiment has the following beneficial effects: rasterizing the vector data of the area to be processed by the geographic information system, performing raster division based on a preset raster resolution, obtaining at least one raster data of the area to be processed, and then filtering the at least one raster data of the area to be processed by a preset subset area screening condition to obtain the subset area raster data corresponding to the vector data of the area to be processed, performing target screening on the subset area raster data corresponding to the vector data of the area to be processed, obtaining the target area raster data corresponding to the subset area raster data, and the target area raster data can be used to characterize a set of raster data that meets the conditions, and then the target area raster data can be obtained by filtering the target area raster data. The raster data is processed by data mapping to obtain structured target area raster data corresponding to the target area raster data based on a preset data mapping structure, the structured target area raster data is classified into geographical areas to obtain category data corresponding to the structured target area raster data, and the target area raster data of each structured arrangement are merged according to the category data corresponding to the structured target area raster data to obtain vector data corresponding to the target independent area, thereby improving the accuracy of regional division and processing efficiency, improving the flexibility of screening and positioning, simplifying the execution process, improving the degree of automatic processing, and improving the accuracy of screening condition judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 is a schematic diagram of an application scenario of an embodiment of the present disclosure;

[0012] Figure 2 is a flowchart of a method for determining a geographic area provided by an embodiment of the present disclosure;

[0013] Figure 3 is a schematic diagram of the structure of a device for determining a geographic area provided by an embodiment of the present disclosure;

[0014] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0015] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0016] A method and device for determining a geographic area according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0017] Figure 1 Schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include terminal devices 1, 2 and 3, a server 4 and a network 5.

[0018] Terminal devices 1, 2 and 3 can be hardware or software. When terminal devices 1, 2 and 3 are hardware, they can be various electronic devices with display screens and supporting communication with server 4, including but not limited to smart phones, tablet computers, laptop portable computers and desktop computers, etc.; when terminal devices 1, 2 and 3 are software, they can be installed in the above electronic devices. Terminal devices 1, 2 and 3 can be implemented as multiple software or software modules, or as a single software or software module, and the embodiments of the present disclosure are not limited to this. Furthermore, various applications can be installed on terminal devices 1, 2 and 3, such as data processing applications, instant messaging tools, social platform software, search applications, shopping applications, etc.

[0019] The server 4 may be a server that provides various services, for example, a background server that receives a request sent by a terminal device that establishes a communication connection with the server, and the background server may receive and analyze the request sent by the terminal device, and generate a processing result. The server 4 may be a single server, or a server cluster composed of several servers, or a cloud computing service center, which is not limited in the embodiments of the present disclosure.

[0020] It should be noted that the server 4 can be hardware or software. When the server 4 is hardware, it can be various electronic devices that provide various services for the terminal devices 1, 2, and 3. When the server 4 is software, it can be multiple software or software modules that provide various services for the terminal devices 1, 2, and 3, or it can be a single software or software module that provides various services for the terminal devices 1, 2, and 3, and the embodiments of the present disclosure are not limited to this.

[0021] The network 5 can be a wired network connected by coaxial cable, twisted pair and optical fiber, or it can be a wireless network that can interconnect various communication devices without wiring, such as Bluetooth, Near Field Communication (NFC), infrared, etc., which is not limited in the embodiments of the present disclosure.

[0022] The user can establish a communication connection with the server 4 via the network 5 through the terminal devices 1, 2 and 3 to receive or send information, etc. Specifically, the server 4 can rasterize the vector data of the area to be processed through the geographic information system, perform raster division based on the preset raster resolution, and obtain at least one raster data of the area to be processed, and then perform screening processing in the at least one raster data of the area to be processed according to the preset subset area screening condition to obtain the subset area raster data corresponding to the vector data of the area to be processed, and perform target screening on the subset area raster data corresponding to the vector data of the area to be processed to obtain the target area raster data corresponding to the subset area raster data, and the target area raster data can be used to characterize the set of raster data that meets the conditions, and then the target area raster data corresponding to the target area raster data based on the preset data mapping structure can be obtained by performing data mapping processing on the target area raster data to obtain the target area raster data corresponding to the structured arrangement based on the preset data mapping structure, and the target area raster data corresponding to the structured arrangement can be classified into geographical areas to obtain the category data corresponding to the target area raster data, and the target area raster data corresponding to the structured arrangement can be merged according to the category data corresponding to the target area raster data, and the vector data corresponding to the target independent area can be obtained.

[0023] It should be noted that the specific types, quantities and combinations of the terminal devices 1, 2 and 3, the server 4 and the network 5 can be adjusted according to the actual needs of the application scenario, and the embodiments of the present disclosure are not limited to this.

[0024] Figure 2 It is a flowchart of a method for determining a geographic area provided by an embodiment of the present disclosure. Figure 2 The geographical area can be determined by Figure 1 The server executes. Figure 2 As shown, the method for determining a geographic area includes:

[0025] Step 201 : rasterizing the vector data of the area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed.

[0026] Specifically, the preset grid resolution can be determined by determining the size of the geographic space represented by each grid unit, and then the geographic information data represented by the grid unit can be processed by a geographic information system (GIS) or a global navigation satellite system, etc., which is not limited here. The vector data of the area to be processed can be rasterized to obtain the raster data of the area to be processed. In this way, the flexibility and versatility of data processing can be improved through rasterization, the process of spatial analysis and visualization can be simplified, and the efficiency and accuracy of data processing can be improved.

[0027] Among them, the preset grid resolution can be used to characterize the size of the geographic space represented by each grid unit. The unit of the preset grid resolution can be meters or kilometers, which can be used to characterize the parameters of the detail level and accuracy of the data. The vector data of the area to be processed can be used to characterize the vector data containing basic information such as the shape, size, and location of the geographic area. The raster data of the area to be processed can be data processed by rasterization. The raster data of the area to be processed can characterize the geographic space distribution characteristics in the form of grid units.

[0028] For example, the preset grid resolution may be 4 kilometers, and then the geographic information data of city a may be processed through GIS, and the vector data of city a may be rasterized to obtain the raster data of city a.

[0029] Step 202: Process at least one to-be-processed region raster data according to a preset subset region screening condition to obtain subset region raster data corresponding to the to-be-processed region vector data.

[0030] Specifically, the preset subset area screening conditions can be determined according to the task requirements or research objectives. The preset subset area screening conditions may include geographical location range, attribute value range, and spatial relationship, etc., which are not limited here. Then, GIS can be used to screen and process the raster data of the area to be processed according to the preset subset area screening conditions, and the raster units that meet the preset subset area screening conditions can be extracted, that is, the subset area raster data corresponding to the vector data of the area to be processed. The subset area raster data obtained by screening improves the accuracy of determining key areas. The generation of subset area raster data simplifies the subsequent data processing and analysis process, improves processing efficiency, and increases the flexibility and customizability of data processing.

[0031] Among them, the preset subset area screening conditions can be conditions set according to task requirements before performing subset area raster data screening processing. The preset subset area screening conditions may include numerical ranges such as longitude and latitude ranges, temperature, altitude, and adjacent relationships and overlapping relationships with specific areas, etc., which are not limited here. The subset area raster data corresponding to the vector data of the area to be processed can be a raster data subset obtained by processing the raster data of the area to be processed according to the preset subset area screening conditions. The subset area raster data corresponding to the vector data of the area to be processed can be used to characterize the area that meets the screening conditions and has a corresponding relationship with the vector data of the area to be processed.

[0032] For example, the preset subset area screening condition can be used to select the community geographic area raster data within the raster unit. The preset subset area screening condition can be that the property fee per unit area of ​​the community is greater than or equal to 1.5 yuan, and it is the raster data of the project managed by non-designated enterprises, and the subset area raster data corresponding to the city a vector data is obtained.

[0033] Step 203, performing target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data.

[0034] Specifically, the subset area raster data can be screened and processed according to the pre-set target screening conditions. The pre-set target screening conditions can be set based on information such as attribute values ​​or spatial relationships, which are not limited here. Then, the pre-set target screening conditions can be established through GIS or global navigation satellite system, and the target area raster data corresponding to the subset area raster data can be obtained, thereby improving the accuracy of the screening conditions and geographic area positioning, reducing the complexity and calculation amount of data analysis, improving the accuracy and reliability of data analysis, and enhancing flexibility and scalability. In this embodiment, the above-mentioned attribute value can be a building name, or a residential area area, etc., which are not limited here, and the spatial relationship can be longitude and latitude or urban administrative divisions, etc., which are not limited here.

[0035] Among them, the target area raster data corresponding to the subset area raster data can be a raster data subset that matches the preset target screening conditions obtained by performing target screening processing on the subset area raster data, and the target area raster data corresponding to the subset area raster data can be used to characterize the target area required by the task.

[0036] For example, the subset area raster data can be processed by the preset target raster screening condition. The target raster screening condition can be that the average property fee per unit area is greater than 2 yuan, and the residential area is greater than 50,000 square meters. Then, the raster data that meets the conditions can be screened out, that is, the target area raster data corresponding to the subset area raster data.

[0037] Step 204 , processing the target region raster data by using a preset data mapping structure to obtain structured arranged target region raster data corresponding to the target region raster data.

[0038] Specifically, a preset data mapping structure can be used to determine the representation form of mapping each grid cell in the target area raster data to a new data structure, which can be used for structured arrangement of data. The preset data mapping structure can include location information, attribute values, and relationships with other grid cells of the grid cell, which are not limited here. The target area raster data can be processed according to the preset data mapping structure through GIS or global navigation satellite system. The processing process can include operations such as reorganization, sorting, and encoding of the data, which are not limited here. It can be used to generate structured arrangement of target area raster data corresponding to the target area raster data, thereby improving the understanding of the data, simplifying the process of statistical analysis, spatial analysis and other advanced processing, and improving the efficiency and accuracy of data analysis.

[0039] Among them, the preset data mapping structure can be a preset data conversion rule or template, which can be used to guide the mapping process between each grid unit in the target area raster data and the new data structure. The structured arranged target area raster data corresponding to the target area raster data can be a data set obtained after processing through the preset data mapping structure. The structured arranged target area raster data corresponding to the target area raster data can be used to characterize the original spatial characteristics and attribute value information of the target area raster data, and can be organized and presented in a structured manner.

[0040] For example, the preset data mapping structure may be a rectangular coordinate system, and the target area raster data corresponding to the subset area raster data may be arranged on the rectangular coordinate system according to the property fee per unit area and the residential area.

[0041] Step 205 , classifying the structured target area raster data according to the preset geographical area classification conditions to obtain category data corresponding to each structured target area raster data.

[0042] Specifically, classification can be performed based on preset geographic area classification conditions. The preset geographic area classification conditions can be based on geographic features, administrative boundaries, economic indicators, or environmental factors, etc., which are not limited here. They can be used to divide the structured target area raster data into different categories or sub-areas. The structured target area raster data can be classified and processed through a geographic information system. The processing method can be to compare the attribute value of each raster unit with the classification condition, and the raster units that meet the conditions are classified into corresponding categories. Then, by counting and collating the raster data of each category, the category data corresponding to each structured target area raster data can be obtained, so as to improve the understanding and analysis depth of the geographic characteristics and spatial distribution of the target area. The classified data can be used as input for analysis or modeling, thereby expanding the scope of application.

[0043] Among them, the preset geographic area classification conditions can be geographic area division standards or bases pre-set according to task requirements. The preset geographic area classification conditions can be based on geographic feature classification, including but not limited to terrain, landform, or vegetation type, etc., or can be based on socio-economic factors, including but not limited to population density, or economic development level, etc. The category data corresponding to the structured target area raster data can be a raster data set obtained after classification processing, containing clear category attribution, and the category data corresponding to the structured target area raster data can be used to characterize the spatial distribution of different geographic features or attributes in the target area.

[0044] For example, classification can be performed based on economic indicators and geographical features. Grid cells with a residential area greater than or equal to two-thirds of the grid cell area and a property fee per unit area greater than or equal to one-third of the average property fee can be classified as first target area raster data, and grid cells with a residential area less than two-thirds of the grid cell area and a property fee per unit area greater than or equal to one-third of the average property fee can be classified as second target area raster data. Grids in the target area raster data that are not in the above two categories are classified as third target area raster data, and the first target area raster data, the second target area raster data, and the third target area raster data can be positioned in a rectangular coordinate system according to a preset data mapping structure.

[0045] Step 206 , based on the category data corresponding to each structured arrangement of the target area raster data, each structured arrangement of the target area raster data is merged to obtain vector data corresponding to the target geographic area.

[0046] Specifically, the raster data can be merged according to the category data corresponding to the target area raster data in each structured arrangement. The merging rule can be based on the category similarity or continuity of the raster data. For example, raster data a and raster data b contain the same category data, so raster data a and raster data b can be merged in a category area, and then the vector data corresponding to the target geographic area can be obtained through the merging process. In this way, through the merging of raster data, data redundancy is reduced, the efficiency of subsequent data processing and analysis is improved, the accuracy of data expression is enhanced, and the quality of data is improved.

[0047] Among them, the vector data corresponding to the target geographical area can be a data format used to represent the shape and boundaries of the geographical area. The vector data corresponding to the target geographical area can represent geographical entities through vector graphic elements such as points, lines, and polygons. The target geographical area includes but is not limited to cities, lakes, or administrative areas.

[0048] According to the technical solution provided by the embodiment of the present disclosure, the vector data of the area to be processed is rasterized by the geographic information system, and the raster is divided based on the preset raster resolution to obtain at least one raster data of the area to be processed. Then, in the at least one raster data of the area to be processed, the preset subset area screening condition is used to perform screening processing to obtain the subset area raster data corresponding to the vector data of the area to be processed, and the subset area raster data corresponding to the vector data of the area to be processed is subjected to target screening to obtain the target area raster data corresponding to the subset area raster data. The target area raster data can be used to characterize the set of raster data that meets the conditions, and then the target area raster data can be obtained by filtering the target area raster data. According to the data mapping processing, the target area raster data with structured arrangement corresponding to the target area raster data based on the preset data mapping structure is obtained, the target area raster data with structured arrangement is classified into geographical areas, and the category data corresponding to the target area raster data with structured arrangement is obtained; and according to the category data corresponding to the target area raster data with structured arrangement, the target area raster data with each structured arrangement is merged and processed to obtain the vector data corresponding to the target independent area, thereby improving the regional division accuracy and processing efficiency, improving the flexibility of screening and positioning, simplifying the execution process, improving the degree of automatic processing, and improving the accuracy of screening condition judgment.

[0049] In some embodiments, the vector data of the area to be processed includes surface element vector data, line element vector data, and point element vector data; rasterization processing is performed on the vector data of the area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed, including: raster conversion processing is performed on the surface element vector data based on the preset raster resolution to obtain a raster conversion result, and attribute assignment processing is performed on the raster conversion result to obtain surface element raster data; buffer analysis processing is performed on the line element vector data and the point element vector data based on the preset raster resolution to obtain line element raster data and point element raster data; aggregation processing is performed on the surface element raster data, the line element raster data, and the point element raster data to obtain at least one raster data of the area to be processed.

[0050] Specifically, the area feature vector data can be raster-converted according to the preset raster resolution. The area feature vector data can be converted into the area feature raster format, and the attribute data corresponding to the area feature vector data can be added to obtain the area feature raster data. Then, the line feature vector data and the point feature vector data can be buffered and analyzed separately to generate line feature raster data and point feature raster data. The area feature raster data, line feature raster data and point feature raster data can be aggregated and merged to obtain the vector data corresponding to the target geographic area.

[0051] Among them, area feature vector data can be used to represent vector data of spatial entities containing boundaries and interiors, including but not limited to lakes or administrative districts, etc. Line feature vector data can be used to represent vector data of spatial entities containing length and direction but no area, which can be roads or rivers, etc., and are not limited here. Point feature vector data can be used to represent vector data of discrete points in space, including but not limited to landmarks in cities or weather stations, etc. Area feature raster data can be area feature vector data processed by raster conversion, represented in raster format, and containing corresponding attributes. Line feature raster data can be line feature vector data processed by buffer analysis, containing raster data of line features and their surrounding buffer ranges. Point feature raster data can be point feature vector data processed by buffer analysis, containing raster data of point features and their surrounding buffer ranges.

[0052] According to the technical solution provided by the embodiment of the present disclosure, by performing raster conversion processing on the surface feature vector data at a preset raster resolution, the surface feature vector data can be converted into a surface feature raster format, and attribute data corresponding to the surface feature vector data can be added to obtain surface feature raster data, and then the line feature vector data and the point feature vector data can be respectively subjected to buffer analysis processing to generate line feature raster data and point feature raster data, and the surface feature raster data, the line feature raster data and the point feature raster data can be aggregated to obtain vector data corresponding to the target geographic area, thereby ensuring the integrity of the information of the area to be processed by rasterizing the surface feature vector data, the line feature vector data, and the point feature vector data and aggregating the rasterization results, and improving the accuracy of the raster data in reflecting the geographic area information through buffer analysis processing, and enhancing the flexibility of data processing.

[0053] In some embodiments, at least one raster data of the area to be processed is processed according to preset subset area screening conditions to obtain subset area raster data corresponding to the vector data of the area to be processed, including: performing residential area screening processing on the raster data of the area to be processed to obtain residential raster data to be processed; determining residential attribute data corresponding to the residential raster data to be processed according to the residential raster data to be processed and a preset residential attribute information database; determining subset area raster data corresponding to the vector data of the area to be processed according to the preset subset area screening conditions and the residential attribute data corresponding to the residential raster data to be processed.

[0054] Specifically, the residential area screening processing can be performed on the raster data of the area to be processed, and identification can be performed based on the characteristics of the raster data, including but not limited to color or texture, to obtain the raster data of the residential area to be processed, and then attribute matching and query can be performed based on the residential raster data to be processed and the preset residential attribute information database to determine the residential attribute data corresponding to the residential raster data to be processed. The residential attribute data corresponding to the residential raster data to be processed may include information such as residential type, construction age, or area, which is not limited here. The residential type may be, for example, an apartment or a detached house, etc. The raster data that meets the conditions can be screened according to the preset subset area screening conditions and the residential attribute data corresponding to the residential raster data to be processed, that is, the subset area raster data corresponding to the vector data of the area to be processed, wherein the preset subset area screening conditions may be residential type, or construction age, etc., which are not limited here.

[0055] Among them, the residential raster data to be processed can be raster data containing residential areas obtained after screening and processing of residential areas. The preset residential attribute information database can be a database that stores various types of residential attribute information, which can be used to match and query the residential raster data to be processed to determine the residential attributes corresponding to the raster data. The residential attribute data corresponding to the residential raster data to be processed can be residential attribute information that matches the residential raster data to be processed by querying the preset residential attribute information database, including but not limited to residential type, construction age, or area.

[0056] For example, the raster data of the area to be processed may be the raster data corresponding to urban area x, and the raster data of residential coverage in urban area x may be filtered out from the raster data corresponding to urban area x. Then, through the preset property fee information database of urban area x, the raster data of residential coverage in urban area x may be filtered out to obtain the raster data corresponding to the residential areas that meet the property fee standards.

[0057] According to the technical solution provided by the embodiment of the present disclosure, by performing residential area screening processing on the raster data of the area to be processed, it is possible to identify based on the characteristics of the raster data to obtain the raster data of the residential area to be processed, and then, based on the residential raster data to be processed and a preset residential attribute information database, attribute matching and query can be performed to determine the residential attribute data corresponding to the residential raster data to be processed, and based on the preset subset area screening conditions and the residential attribute data corresponding to the residential raster data to be processed, the subset area raster data corresponding to the vector data of the area to be processed can be screened to obtain, thereby improving the accuracy of the residential part in the area to be processed through the residential area screening processing, enhancing the pertinence, enriching the attribute information, improving the practicality of the data, and improving the flexibility of the screening process.

[0058] In some embodiments, target screening processing is performed on the subset area raster data to obtain target area raster data corresponding to the subset area raster data, including: processing the subset area raster data based on preset task attribute information screening conditions to obtain task area raster data; performing building area determination processing on the subset area raster data to obtain building area data corresponding to the subset area raster data; determining the target area raster data corresponding to the subset area raster data based on the task area raster data and the building area data corresponding to the subset area raster data.

[0059] Specifically, the subset area raster data can be screened according to preset task attribute information screening conditions, wherein the preset task attribute information screening conditions include but are not limited to geographical location, purpose, or planning nature, etc., and then the raster data that meets the preset task attribute information screening conditions can be marked as task area raster data, and then the filtered subset area raster data can be processed to determine the building area, and the building area of ​​each grid is calculated or extracted through the information in the raster data, that is, the building area data corresponding to the subset area raster data, wherein the information in the raster data is but not limited to the building outline or height, etc., and then the task area raster data and the building area data corresponding to the subset area raster data can be screened to obtain raster data that meets the task attribute information screening conditions and has a specific building area threshold or range, that is, the target area raster data corresponding to the subset area raster data.

[0060] Among them, the preset task attribute information filtering conditions can be filtering conditions set according to task requirements, and can be used to filter out areas related to the task from the geographic area raster data. The preset task attribute information filtering conditions may include geographical location, purpose, planning nature, and / or environmental characteristics, etc., which are not limited here. The task area raster data may refer to a set of raster data obtained by processing the preset task attribute information filtering conditions. The task area raster data may be related to the task requirements in terms of geographical location, purpose, or other attributes. The building area data corresponding to the subset area raster data may be data obtained after the subset area raster data is processed to determine the building area. The building area data corresponding to the subset area raster data can be used to characterize the building area information in each grid.

[0061] For example, the preset task attribute information screening condition can be that the average property fee per unit area is greater than or equal to 1.5 yuan. The average property fee corresponding to each subset area raster data can be screened from the subset area raster data, and the subset area raster data can be processed to determine the building area to obtain the expandable building area value of the project. Then, based on the average property fee corresponding to each subset area raster data and the expandable building area value of the project, the target area raster data corresponding to the subset area raster data that meets the task requirements can be determined.

[0062] According to the technical solution provided by the embodiment of the present disclosure, the subset area raster data is screened by preset task attribute information screening conditions, and then the raster data that meets the preset task attribute information screening conditions can be marked as task area raster data, and then the filtered subset area raster data can be processed to determine the building area, and the building area of ​​each grid is calculated or extracted through the information in the raster data, that is, the building area data corresponding to the subset area raster data, and then the task area raster data and the building area data corresponding to the subset area raster data can be screened to obtain raster data that meets the task attribute information screening conditions and has a specific building area threshold or range, that is, the target area raster data corresponding to the subset area raster data, thereby improving the accuracy and effectiveness of the target area raster data screening, improving the efficiency and precision of geographic data processing, and refining the screening conditions through the determination of the building area, and enhancing the practicality of the raster data.

[0063] In some embodiments, the target area raster data is processed by a preset data mapping structure to obtain structured arranged target area raster data corresponding to the target area raster data, including: performing structured arrangement processing on the task area raster data according to the preset data mapping structure to obtain structured task area raster data; performing structured arrangement processing on the building area data corresponding to the subset area raster data according to the preset data mapping structure to obtain structured building area data; and splicing the structured task area raster data and the structured building area data to obtain structured arranged target area raster data corresponding to the target area raster data.

[0064] Specifically, the task area raster data can be structured and arranged according to a preset data mapping structure. The arrangement can include sorting, grouping, or rearranging the raster data according to attributes such as geographic location, area, and / or purpose, which are not limited here. Then, the building area data corresponding to the subset area raster data can be structured and arranged according to the preset data mapping structure. The building area data can be associated with the corresponding raster data and sorted or grouped according to the preset data mapping structure. Then, the structured task area raster data and the structured building area data can be spliced. The structured task area raster data and the structured building area data can be aligned and combined according to geographic location or other common attributes to obtain structured arranged target area raster data.

[0065] Among them, the structured task area raster data may refer to the task area raster data processed by structured arrangement, the structured task area raster data may be sorted, grouped, or rearranged according to a preset data mapping structure, and the structured building area data may be a data set obtained by associating the building area data with the corresponding raster data and sorting or grouping according to a preset data mapping structure.

[0066] For example, the preset data mapping structure can be a rectangular coordinate system, the task area raster data can be processed on the x-axis according to the average property fee, the building area data corresponding to the subset area raster data can be processed on the y-axis according to the expandable building area value of the project, and the grids can be spliced ​​to obtain the target area raster data located on the rectangular coordinate system.

[0067] According to the technical solution provided by the embodiment of the present disclosure, the task area raster data is structured and arranged according to a preset data mapping structure, and then the building area data corresponding to the subset area raster data can be structured and arranged according to the preset data mapping structure, and then the structured task area raster data and the structured building area data can be spliced ​​to obtain structured arranged target area raster data, thereby improving data management and analysis efficiency, and the structured task area raster data and the structured building area data enhance the clarity and understanding of the data.

[0068] In some embodiments, the category data corresponding to the structured target area raster data include first target area data, second target area data, and third target area data, the first target area data includes target area raster data corresponding to the to-be-processed area raster data, which is greater than or equal to one-third of the average value of the task attribute information data corresponding to the task area raster data, and the building area data corresponding to the to-be-processed area raster data is greater than or equal to two-thirds of the sum of the building area data corresponding to the subset area raster data, the second target area data includes target area raster data corresponding to the to-be-processed area raster data, which is greater than or equal to one-third of the average value of the task attribute information data corresponding to the task area raster data, and the building area data corresponding to the to-be-processed area raster data is less than the subset area raster data. According to the target area raster data of two-thirds of the total value of the corresponding building area data, the third target area data includes area data of the target area raster data that is not the first target area data and not the second target area data; the structured target area raster data is classified and processed according to the preset geographical area classification conditions to obtain the category data corresponding to each structured target area raster data, including: processing the structured target area raster data based on the preset first target area screening condition to obtain the first target area data; processing the structured target area raster data by the preset second target area screening condition to obtain the second target area data; processing the structured target area raster data based on the preset third target area screening condition to obtain the third target area data.

[0069] Specifically, the first target area screening condition can be preset for screening, and the preset first target area screening condition can be that the task attribute information data corresponding to the raster data of the area to be processed is greater than or equal to one third of the average value of the task attribute information data corresponding to the raster data of the task area, and the building area data corresponding to the raster data of the area to be processed is greater than or equal to two thirds of the sum of the total value of the building area data corresponding to the raster data of the subset area, and the raster data meeting the above conditions are screened out to obtain the first target area data, and then the second target area screening condition can be preset for screening and processing, and the preset second target area screening condition can be that the task attribute information data corresponding to the raster data of the area to be processed is greater than or equal to one third of the average value of the task attribute information data corresponding to the raster data of the task area, and the building area data corresponding to the raster data of the area to be processed is less than two thirds of the sum of the total value of the building area data corresponding to the raster data of the subset area, and the second target area data can be obtained, and the third target area screening condition can be preset for screening, and the remaining target area raster data that does not belong to the first target area data or the second target area data can be selected to obtain the third target area data.

[0070] Among them, the first target area data can be a raster data set that meets the preset first target area screening conditions, the second target area data can be a raster data set that meets the preset second target area screening conditions, and the third target area data can be a raster data set that does not meet the above conditions. The task attribute information data corresponding to the raster data of the area to be processed can be data that meets the task attribute requirement characteristics in the raster data of the area to be processed, including but not limited to the average property fee or the name of the residential area, etc. The task attribute information data corresponding to the task area raster data can include the residential area building area value or the residential building height, etc., which is not limited here. The preset first target area screening condition can be the task attribute information data corresponding to the raster data of the area to be processed The task attribute information data corresponding to the task area raster data is greater than or equal to one third of the average value of the task attribute information data corresponding to the task area raster data, and the building area data corresponding to the raster data of the area to be processed is greater than or equal to two thirds of the sum of the building area data corresponding to the subset area raster data. The preset second target area screening condition can be that the task attribute information data corresponding to the raster data of the area to be processed is greater than or equal to one third of the average value of the task attribute information data corresponding to the task area raster data, and the building area data corresponding to the raster data of the area to be processed is less than two thirds of the sum of the building area data corresponding to the subset area raster data. The preset third target area screening condition can be to select the remaining target area raster data that does not belong to the first target area data or the second target area data.

[0071] For example, the category data corresponding to the structured target area raster data may include preferred target area raster data, secondary target area raster data, and other area raster data. The screening condition corresponding to the preferred target area raster data may be regional raster data that is greater than or equal to two-thirds of the project's expandable building area value and greater than or equal to one-third of the average property fee. The screening condition corresponding to the secondary target area raster data may be regional raster data that is less than two-thirds of the project's expandable building area value and greater than or equal to one-third of the average property fee. The screening condition corresponding to other area raster data may be other raster data that does not belong to the above two categories of raster data in the structured target area raster data.

[0072] According to the technical solution provided by the embodiment of the present disclosure, the first target area data can be obtained by screening by preset first target area screening conditions, and then the second target area data can be obtained by screening by preset second target area screening conditions, and the third target area data can be obtained by screening by preset third target area screening conditions, and the remaining target area raster data that does not belong to the first target area data nor the second target area data can be selected to obtain the third target area data. In this way, the target area raster data can be divided into three types of target area data through conditional division, thereby improving the accuracy of target area raster data screening, optimizing resource allocation and task allocation, and improving the efficiency and accuracy of geographic area management.

[0073] In some embodiments, the third target area data includes at least one target area raster data corresponding to the third target area data, and the second target area data includes at least one target area raster data corresponding to the second target area data. The method also includes: updating the category data corresponding to the structured target area raster data according to preset designated residential attribute data and the structured target area raster data; if the target area raster data corresponding to the third target area data contains the preset designated residential attribute data, updating the target area raster data corresponding to the third target area data to the target area raster data corresponding to the second target area data; if the target area raster data corresponding to the second target area data contains the preset designated residential attribute data, updating the target area raster data corresponding to the second target area data to the target area raster data corresponding to the first target area data.

[0074] Specifically, the structured target area raster data can be updated and processed according to the preset designated residential attribute data to obtain the category data corresponding to the structured target area raster data. The preset designated residential attribute data may include residential type, construction age, or construction quality, etc., which are not limited here. If the target area raster data corresponding to the third target area data contains the preset designated residential attribute data, the classification data of the target area raster data can be updated to the second target area data. If the target area raster data corresponding to the second target area data contains the preset designated residential attribute data, the classification data of the target area raster data can be updated to the first target area data.

[0075] Among them, the preset designated residential attribute data can be data used to mark the target residential type or characteristics. The preset designated residential attribute data can include but is not limited to the building name, construction age, construction quality, or architectural style of the residence, etc., which are not limited here. The preset designated residential attribute data can be set according to the needs and management objectives determined by the geographical area, and can be used for the precise identification process of the classification and management process.

[0076] For example, the preset designated residential attribute data may be a building name, and the building name may be s. The target area raster data corresponding to the third target area data may be screened. If the target area raster data corresponding to the third target area data is found to contain attribute information of the building name s, the target area raster data corresponding to the third target area data may be updated to the target area raster data corresponding to the second target area data.

[0077] According to the technical solution provided by the embodiment of the present disclosure, the structured target area raster data is updated according to the preset designated residential attribute data to obtain the category data corresponding to the structured target area raster data. If the target area raster data corresponding to the third target area data contains the preset designated residential attribute data, the classification data of the target area raster data can be updated to the second target area data. If the target area raster data corresponding to the second target area data contains the preset designated residential attribute data, the classification data of the target area raster data can be updated to the first target area data, thereby enhancing the refinement of the classification results and ensuring the priority of the classification results.

[0078] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present disclosure, and will not be described in detail here.

[0079] The following are embodiments of the device disclosed herein, which can be used to execute the method embodiments disclosed herein. For details not disclosed in the device embodiments disclosed herein, please refer to the method embodiments disclosed herein.

[0080] Figure 3 Schematic diagram of a device for determining a geographic area provided by an embodiment of the present disclosure. Figure 3 As shown, the geographic area determination device includes:

[0081] The first processing module 301 is used to perform rasterization processing on the vector data of the area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed;

[0082] The second processing module 302 is used to process at least one to-be-processed region raster data according to a preset subset region screening condition to obtain subset region raster data corresponding to the to-be-processed region vector data;

[0083] The third processing module 303 is used to perform target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data;

[0084] The fourth processing module 304 is used to process the target area raster data through a preset data mapping structure to obtain structured arranged target area raster data corresponding to the target area raster data;

[0085] The fifth processing module 305 is used to classify the structured target area raster data according to the preset geographical area classification conditions to obtain the category data corresponding to each structured target area raster data;

[0086] The sixth processing module 306 is used to merge the target area raster data in each structured arrangement based on the category data corresponding to the target area raster data in each structured arrangement to obtain vector data corresponding to the target geographic area.

[0087] According to the technical solution provided by the embodiment of the present disclosure, the vector data of the area to be processed is rasterized by the geographic information system, and the raster is divided based on the preset raster resolution to obtain at least one raster data of the area to be processed. Then, in the at least one raster data of the area to be processed, the preset subset area screening condition is used to perform screening processing to obtain the subset area raster data corresponding to the vector data of the area to be processed, and the subset area raster data corresponding to the vector data of the area to be processed is subjected to target screening to obtain the target area raster data corresponding to the subset area raster data. The target area raster data can be used to characterize the set of raster data that meets the conditions, and then the target area raster data can be obtained by filtering the target area raster data. According to the data mapping processing, the target area raster data with structured arrangement corresponding to the target area raster data based on the preset data mapping structure is obtained, the target area raster data with structured arrangement is classified into geographical areas, and the category data corresponding to the target area raster data with structured arrangement is obtained; and according to the category data corresponding to the target area raster data with structured arrangement, the target area raster data with each structured arrangement is merged and processed to obtain the vector data corresponding to the target independent area, thereby improving the regional division accuracy and processing efficiency, improving the flexibility of screening and positioning, simplifying the execution process, improving the degree of automatic processing, and improving the accuracy of screening condition judgment.

[0088] In some embodiments, the first processing module 301 is specifically used to perform raster conversion processing on the surface element vector data based on a preset raster resolution to obtain a raster conversion result, and perform attribute assignment processing on the raster conversion result to obtain surface element raster data; perform buffer analysis processing on the line element vector data and the point element vector data based on the preset raster resolution to obtain line element raster data and point element raster data; perform aggregation processing on the surface element raster data, the line element raster data, and the point element raster data to obtain at least one raster data of a to-be-processed area.

[0089] In some embodiments, the second processing module 302 is specifically used to perform residential area screening processing on the regional raster data to be processed to obtain the residential raster data to be processed; determine the residential attribute data corresponding to the residential raster data to be processed based on the residential raster data to be processed and a preset residential attribute information database; determine the subset regional raster data corresponding to the regional vector data to be processed based on the preset subset regional screening conditions and the residential attribute data corresponding to the residential raster data to be processed.

[0090] In some embodiments, the third processing module 303 is specifically used to process the subset area raster data based on preset task attribute information screening conditions to obtain task area raster data; perform building area determination processing on the subset area raster data to obtain building area data corresponding to the subset area raster data; and determine the target area raster data corresponding to the subset area raster data based on the task area raster data and the building area data corresponding to the subset area raster data.

[0091] In some embodiments, the fourth processing module 304 is specifically used to perform structured arrangement processing on the task area raster data according to a preset data mapping structure to obtain structured task area raster data; perform structured arrangement processing on the building area data corresponding to the subset area raster data according to the preset data mapping structure to obtain structured building area data; and perform splicing processing on the structured task area raster data and the structured building area data to obtain structured arranged target area raster data corresponding to the target area raster data.

[0092] In some embodiments, the fifth processing module 305 is specifically used to process the structured target area raster data based on a preset first target area screening condition to obtain first target area data; process the structured target area raster data by a preset second target area screening condition to obtain second target area data; and process the structured target area raster data based on a preset third target area screening condition to obtain third target area data.

[0093] In some embodiments, the above-mentioned geographic area determination device also includes updating the category data corresponding to the structured target area raster data according to the preset designated residential attribute data and the structured target area raster data; if the target area raster data corresponding to the third target area data contains the preset designated residential attribute data, then the target area raster data corresponding to the third target area data is updated to the target area raster data corresponding to the second target area data; if the target area raster data corresponding to the second target area data contains the preset designated residential attribute data, then the target area raster data corresponding to the second target area data is updated to the target area raster data corresponding to the first target area data.

[0094] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

[0095] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present disclosure. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0096] The electronic device 4 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.

[0097] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0098] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0099] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0100] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium (e.g., a computer-readable storage medium). Based on this understanding, the present disclosure implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0101] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should all be included in the protection scope of the present disclosure.

Claims

1. A method for determining a geographical area, characterized in that: include: Performing rasterization processing on the vector data of the area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed; Processing at least one of the to-be-processed region raster data according to a preset subset region screening condition to obtain subset region raster data corresponding to the to-be-processed region vector data; Performing target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data; Processing the target area raster data through a preset data mapping structure to obtain structured arranged target area raster data corresponding to the target area raster data; Classify the structured target area raster data according to the preset geographical area classification conditions to obtain category data corresponding to each structured target area raster data; Based on the category data corresponding to each of the structured target area raster data, each of the structured target area raster data is merged to obtain vector data corresponding to the target geographic area.

2. The method for determining a geographical area according to claim 1, characterized in that: The vector data of the area to be processed includes surface element vector data, line element vector data, and point element vector data; The method of performing rasterization processing on the vector data of the area to be processed based on the preset raster resolution to obtain at least one raster data of the area to be processed includes: Performing raster conversion processing on the surface element vector data based on the preset raster resolution to obtain a raster conversion result, and performing attribute assignment processing on the raster conversion result to obtain surface element raster data; Based on the preset grid resolution, the line element vector data and the point element vector data are respectively subjected to buffer analysis processing to obtain line element grid data and point element grid data; Aggregation processing is performed on the surface element raster data, the line element raster data, and the point element raster data to obtain at least one raster data of the area to be processed.

3. The method for determining a geographical area according to claim 1, characterized in that: The step of processing at least one of the to-be-processed region raster data according to the preset subset region screening condition to obtain the subset region raster data corresponding to the to-be-processed region vector data includes: Performing residential area screening processing on the to-be-processed area raster data to obtain to-be-processed residential raster data; Determining residential attribute data corresponding to the residential raster data to be processed according to the residential raster data to be processed and a preset residential attribute information database; According to the preset subset area screening condition and the residential attribute data corresponding to the residential raster data to be processed, the subset area raster data corresponding to the area vector data to be processed is determined.

4. The method for determining a geographical area according to claim 1, characterized in that: The performing target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data includes: Processing the subset area raster data based on preset task attribute information screening conditions to obtain task area raster data; Performing building area determination processing on the subset region grid data to obtain building area data corresponding to the subset region grid data; The target area raster data corresponding to the subset area raster data is determined according to the task area raster data and the building area data corresponding to the subset area raster data.

5. The method for determining a geographical area according to claim 1, characterized in that: The process of processing the target area raster data by using a preset data mapping structure to obtain structured arranged target area raster data corresponding to the target area raster data includes: Performing structured arrangement processing on the task area raster data according to the preset data mapping structure to obtain structured task area raster data; Performing structured arrangement processing on the building area data corresponding to the subset region grid data according to the preset data mapping structure to obtain structured building area data; The structured task area grid data and the structured building area data are spliced ​​to obtain structured arranged target area grid data corresponding to the target area grid data.

6. The method for determining a geographical area according to claim 1, characterized in that: The category data corresponding to the structured target area raster data include first target area data, second target area data, and third target area data, the first target area data includes the target area raster data whose task attribute information data corresponding to the to-be-processed area raster data is greater than or equal to one third of the average value of the task attribute information data corresponding to the task area raster data, and whose building area data corresponding to the to-be-processed area raster data is greater than or equal to two thirds of the sum of the building area data corresponding to the subset area raster data, the second target area data includes the target area raster data whose task attribute information data corresponding to the to-be-processed area raster data is greater than or equal to one third of the average value of the task attribute information data corresponding to the task area raster data, and whose building area data corresponding to the to-be-processed area raster data is less than two thirds of the sum of the building area data corresponding to the subset area raster data, and the third target area data includes area data in the target area raster data that is neither the first target area data nor the second target area data; The classifying and processing the structured target area raster data according to the preset geographical area classification conditions to obtain the category data corresponding to each structured target area raster data includes: Processing the structured target area grid data based on a preset first target area screening condition to obtain the first target area data; Processing the structured target area grid data by presetting a second target area screening condition to obtain the second target area data; The structured target area grid data is processed based on a preset third target area screening condition to obtain the third target area data.

7. The method for determining a geographical area according to claim 6, characterized in that: The third target area data includes at least one target area grid data corresponding to the third target area data, the second target area data includes at least one target area grid data corresponding to the second target area data, and the method further includes: According to the preset designated residential property data and the structured arranged target area grid data, updating the category data corresponding to the structured arranged target area grid data; If the target area grid data corresponding to the third target area data includes the preset designated residential property data, then updating the target area grid data corresponding to the third target area data to the target area grid data corresponding to the second target area data; If the target area grid data corresponding to the second target area data includes the preset designated residential attribute data, the target area grid data corresponding to the second target area data is updated to the target area grid data corresponding to the first target area data.

8. A device for determining a geographical area, characterized in that: include: A first processing module, configured to perform rasterization processing on the vector data of the area to be processed based on a preset raster resolution to obtain at least one raster data of the area to be processed; A second processing module is used to process at least one of the raster data of the area to be processed according to a preset subset area screening condition to obtain the subset area raster data corresponding to the vector data of the area to be processed; A third processing module is used to perform target screening processing on the subset region raster data to obtain target region raster data corresponding to the subset region raster data; A fourth processing module is used to process the target area raster data through a preset data mapping structure to obtain structured arranged target area raster data corresponding to the target area raster data; A fifth processing module, used for classifying the structured target area raster data according to a preset geographical area classification condition, and obtaining category data corresponding to each structured target area raster data; The sixth processing module is used to merge the target area raster data in each structured arrangement based on the category data corresponding to each target area raster data in the structured arrangement to obtain vector data corresponding to the target geographic area.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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