Town space development type division method under economic development perspective

Abstract

The invention discloses a town space development type division method under the perspective of economic development. The invention constructs a town space development type division method taking three regions and three lines as a basis and taking a town system, endowment of population, facility construction and economic level data as an auxiliary basis, and Ningbo is taken as an example, and on the basis of Ningbo town space development type division, the three regions and three lines are divided into three regions and three lines. A space development strategy is provided from six aspects of space development guarantee, space ownership determination, space development power refinement, space transaction cost reduction, space matching enhancement and space income reasonable configuration. Grain guarantee and ecological base line safety are achieved, benefits and scale economy are gathered, infrastructure configuration is relatively balanced, villages have the self-development capacity, and high-quality urban and rural integrated development of urban and rural resource value showing is achieved, and therefore urban and rural are promoted to the economic development road of space safety, efficiency, sharing, sustainability and two-way interaction.

Description

Technical Field

[0001] The present invention relates to the technical field of town - level spatial development, and specifically to a method for classifying the types of town - level spatial development from the perspective of economic development. Background Art

[0002] Deficiencies of the prior art:

[0003] At present, many studies focus on counties. However, exploring urban - rural integration from the overall county - level unit cannot uncover the development problems of each internal unit, and there are few studies that place the issue of promoting economic development through urban - rural integration within the framework of spatial control analysis. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for classifying the types of town - level spatial development from the perspective of economic development to solve the problems raised in the above - mentioned background art.

[0005] To achieve the above - mentioned purpose, the present invention provides the following technical solution: A method for classifying the types of town - level spatial development from the perspective of economic development, and this classification method specifically includes the following steps:

[0006] S1. Obtain the "Three Zones and Three Lines" data of the research area, perform data processing and set thresholds;

[0007] S2. According to the proportion of urban space, agricultural space, and ecological space and the set thresholds, delimit the development types of town - level units with significant spatial characteristics, and divide them into three types: town - driven type, ecological protection type, and agricultural security type town - level areas;

[0008] S3. For town - level units whose types are not clearly defined by the "Three Zones and Three Lines" data, analyze their urban system population size and population density data, obtain the population size and population density of different town - level areas, obtain the POI data of education, culture, sports, and elderly care facilities, obtain the night - time light data, and perform processing and threshold setting. Town - level units that meet the relevant threshold conditions are classified as the town - driven development type, and town - level units that do not meet any threshold conditions are classified as the characteristic development type;

[0009] S4. Define the spatial development types of each town - level area and perform spatial visualization on GIS.

[0010] Preferably, the step S1 specifically includes the following steps:

[0011] a1. Obtain the vector map data of the administrative boundaries at the township level of the whole city through the National Geomatics Center of China;

[0012] a2. Use the Intersect tool to divide the "Three Zones and Three Lines" by township-level administrative regions, and separately calculate the area of each township's jurisdiction and the area of the "Three Zones and Three Lines" in each township, so as to calculate the ratio of the "Three Zones and Three Lines" in each township to the area of the township administrative region. The specific calculation formula is as follows:

[0013]

[0014] Xi is the ratio of the "Three Zones and Three Lines" in the township to the area of the township administrative region, mi is the area of the "Three Zones and Three Lines" in the township, and Ri is the area of the township administrative region;

[0015] a3. Set the thresholds for the three control lines in the spatial function type division standard to account for 0.45, 0.34, and 0.34 of the area of the jurisdiction respectively.

[0016] Preferably, the step S2 specifically includes the following steps:

[0017] b1. Divide the townships where the ratio of the area of the ecological protection red line to the area of the township administrative region is greater than 0.45 into ecological protection types;

[0018] b2. Divide the townships where the ratio of the area of the ecological protection red line to the area of the township administrative region is less than 0.45 and the ratio of the area of the permanent basic farmland protection to the area of the township administrative region is greater than 0.34 into agricultural protection types;

[0019] b3. Divide the townships where the ratio of the area of the ecological protection red line to the area of the township administrative region is less than 0.45, the ratio of the area of the permanent basic farmland protection to the area of the township administrative region is less than 0.34, and the ratio of the area of the urban development boundary to the area of the township administrative region is greater than 0.34 into urban-driven types;

[0020] b4. For the townships where the ratio of the area of the ecological protection red line to the area of the township administrative region is less than 0.45, the ratio of the area of the permanent basic farmland protection to the area of the township administrative region is less than 0.34, and the ratio of the area of the urban development boundary to the area of the township administrative region is less than 0.34, no type is assigned.

[0021] Preferably, the step S3 specifically includes the following steps:

[0022] c1. Obtain population data;

[0023] c2. Obtain POI data;

[0024] c3. Obtain night light data.

[0025] Preferably, the step c1 specifically includes the following steps:

[0026] c11. Obtain the data source;

[0027] c12. According to the statistical yearbook data, the current population of each township in the city is counted respectively. According to the extracted township population size and the obtained township administrative district data, the population density of each township is calculated. The calculation formula is as follows:

[0028]

[0029] Among them, ri is the population density of the township, Pi is the population of the township, and Ri is the administrative area of ​​the township;

[0030] c13. Set threshold;

[0031] c14. Divide the results based on population data.

[0032] Preferably, the step c2 specifically includes the following steps:

[0033] c21. Use programming languages ​​to write crawler programs through open data websites and platforms, simulate users visiting target websites and crawl POI data to obtain the name, address, coordinates, and category of POIs;

[0034] c22. Perform data cleaning;

[0035] c23. Organize data;

[0036] c24. By analyzing the correlation between POI data and township administrative districts, we can obtain the spatial change trend and law of POI, and then obtain the spatial distribution of educational facilities, medical facilities, cultural facilities, sports facilities and elderly care facilities;

[0037] c25. Summarize the data of education, medical care, culture, sports and elderly care facilities within the region and divide them by the administrative area of ​​the region to obtain the average density of education, medical care, culture, sports and elderly care facilities in the town. The calculation formula is as follows:

[0038]

[0039] Among them, d i is the regional facility density, S i is the total number of regional education, medical, cultural, sports and elderly care facilities, R i is the area of ​​the regional administrative district;

[0040] c26. In towns and villages that are not classified, if the density of education, medical care, culture, sports and elderly care facilities is greater than the average density of facilities in the whole city, they will be classified as town-driven.

[0041] Preferably, the step c3 specifically comprises the following steps:

[0042] c31. Obtain data source;

[0043] c32. Perform data cleaning;

[0044] c33. Calibrate the DN values of the stable bright pixels after mutual calibration:

[0045]

[0046] Where: DN n represents the DN value of the year 2022 after calibration, DN a and DN b represent the DN values obtained by two types of sensors, a and b, in the year 2022 before calibration;

[0047] The DN value of the night light image in the year after is not less than that in the previous year. Therefore, continuous calibration is carried out:

[0048]

[0049] Where: DN n represents the DN value of the year 2022 after calibration, DN 2021 represents the DN value of the year 2021 before calibration; DN 2022 represents the DN value of the year 2022 before calibration, and oversaturation calibration is carried out:

[0050]

[0051] Where: DN n represents the DN value of the year 2022 after calibration, DN 2022 represents the DN value of the year 2022 before calibration;

[0052] c34. Use terrain and ground object information to perform masking processing on the night light data to remove areas without artificial lighting in the ocean and forest;

[0053] c35. According to the processed night light data and the vector data of the administrative region of Ningbo City, use Arcgis10.7 to display the partition statistics tool in a table, and calculate the average value of the statistical type to calculate the average value of the night light intensity in Ningbo City;

[0054] c36. Calculate the night light brightness values of the towns and townships in Ningbo City, and count the night light brightness values of each town and township into a table; calculate the average value of the night light intensity of the whole city; use the average value of the night light intensity in Ningbo City as the threshold;

[0055] c37. Among the towns and townships without classification, those with night light intensity higher than the average brightness of the whole city are classified as urban-driven types.

[0056] Preferably, the step c22 specifically includes the following steps:

[0057] d1. Remove duplicate data: Identify and delete duplicate POI data by comparing the unique identifiers of POIs.

[0058] d2. Handle missing values: Check for missing fields in the data and take actions such as filling with default values, ignoring the record, or using interpolation methods for estimation.

[0059] d3. Denoising process: Detect and delete outliers and inconsistent data.

[0060] d4. Field conversion: Convert the formats of data fields to a unified standard format.

[0061] Preferably, the step c23 specifically includes the following steps:

[0062] e1. Standardize fields: Maintain the consistency of POI field names and data types in the same category.

[0063] e2. Geocoding: Perform geocoding on the addresses of POIs to convert the addresses into latitude and longitude coordinates.

[0064] e3. Data conversion: Convert POI data into point data.

[0065] Compared with the prior art, the beneficial effects of the present invention are:

[0066] The present invention constructs a method for dividing the town - scale spatial development types based on the "Three Zones and Three Lines", supplemented by data on urban systems, population endowments, facility construction, and economic levels. Taking Ningbo as an example, on the basis of dividing the town - scale spatial development types in Ningbo, spatial development strategies are proposed from six aspects: spatial development guarantee, spatial ownership determination, refinement of spatial development rights, reduction of spatial transaction costs, strengthening of spatial supporting facilities, and reasonable allocation of spatial benefits, so as to achieve high - quality urban - rural integration development with food security and ecological bottom - line safety, agglomeration benefits and economies of scale, relatively balanced infrastructure allocation, self - development ability of rural areas, and manifestation of the value of urban - rural resources, thereby promoting the urban - rural economic development path that is spatially safe, efficient, shared, sustainable, and bidirectionally interactive. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a schematic diagram of the research steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0069] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation on the present invention.

[0070] In the description of this patent, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", "setting" should be understood in a broad sense. For example, it can be fixedly connected and set, or detachably connected and set, or integrally connected and set. For those of ordinary skill in the art, the specific meanings of the above terms in this patent can be understood according to specific circumstances.

[0071] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, the meaning of "several" is two or more unless otherwise clearly and specifically defined.

[0072] Space, as the carrier of regional economic and social development, the territorial space planning with the delineation of "three zones and three lines" as the core further quantifies and spatializes the regional ecological space, agricultural space and urban space, and has important legal effects, basically clarifying the basic spatial framework of regional development.

[0073] Embodiment

[0074] Please refer to Figure 1 As shown, a technical solution for the classification method of town-level spatial development types from the perspective of economic development provided by the present invention: This classification method specifically includes the following steps:

[0075] S1. Obtain the "three zones and three lines" data of the research area, perform data processing and set thresholds;

[0076] a1. Obtain the vector map data of the administrative boundaries at the township level of the whole city through the National Geomatics Center;

[0077] a2. Use the Intersect tool to divide the "three zones and three lines" according to the township-level administrative regions, and respectively count the area of each township jurisdiction and the area of the "three zones and three lines" of each township, so as to calculate the ratio of the "three zones and three lines" of each township to the area of the township administrative region. The specific calculation formula is as follows:

[0078]

[0079] Xi is the ratio of the "Three Zones and Three Lines" of the township to the area of the township administrative region, mi is the area of the "Three Zones and Three Lines" of the township, and Ri is the area of the township administrative region;

[0080] a3. Set the thresholds of the three control lines of the spatial function type division standard for the area of the jurisdiction to be 0.45, 0.34, and 0.34 respectively;

[0081] S2. According to the proportion of urban space, agricultural space, and ecological space and the set thresholds, delimit the development types of the town domain units with significant spatial characteristics, and divide them into three types: urban-driven type, ecological protection type, and agricultural security type;

[0082] b1. Divide the townships with the ratio of the area of the ecological protection red line to the area of the township administrative region greater than 0.45 into the ecological protection type;

[0083] b2. Divide the townships with the ratio of the area of the ecological protection red line to the area of the township administrative region less than 0.45 and the ratio of the area of the permanent basic farmland protection to the area of the township administrative region greater than 0.34 into the agricultural security type;

[0084] b3. Divide the townships with the ratio of the area of the ecological protection red line to the area of the township administrative region less than 0.45, the ratio of the area of the permanent basic farmland protection to the area of the township administrative region less than 0.34, and the ratio of the area of the urban development boundary to the area of the township administrative region greater than 0.34 into the urban-driven type;

[0085] b4. For the townships with the ratio of the area of the ecological protection red line to the area of the township administrative region less than 0.45, the ratio of the area of the permanent basic farmland protection to the area of the township administrative region less than 0.34, and the ratio of the area of the urban development boundary to the area of the township administrative region less than 0.34, do not divide the types for the time being;

[0086] S3. For the town domain units whose types are not clearly defined by the "Three Zones and Three Lines" data, analyze the population size and population density data of their urban systems, obtain the population size and population density of different town domains, obtain the POI data of education, culture, sports, and elderly care facilities, obtain the night light data, and perform processing and threshold setting. For the town domain units that meet the relevant threshold conditions, they can be divided into the urban-driven development type, and for the town domain units that do not meet any threshold conditions, they are divided into the characteristic development type;

[0087] c1. Obtain population data;

[0088] c11. Obtain the data source;

[0089] c12. Statistically calculate the current population of each township in the whole city according to the data in the statistical yearbook. Based on the extracted township population scale and the obtained township administrative region data, calculate the population density of each township. The calculation formula is as follows:

[0090]

[0091] Among them, ri is the population density of the township, Pi is the population of the township, and Ri is the area of the township administrative region;

[0092] c13. Set the threshold: The evaluation population density standard for the average population density of rural areas in Ningbo is set at 152 people per square kilometer;

[0093] c14. According to the population data division result: Townships with a population density greater than 152 people per square kilometer are classified as town-driven types;

[0094] c2. Obtain POI data;

[0095] c21. Through open data websites and platforms, use programming languages to write crawler programs to simulate user access to the target website and capture POI data, obtaining the name, address, coordinates, and category of the POI;

[0096] c22. Perform data cleaning;

[0097] d1. Remove duplicate data: Identify and delete duplicate POI data by comparing the unique identifiers of the POI;

[0098] d2. Process missing values: Check the missing fields in the data and take measures such as filling default values, ignoring the record, and using interpolation methods for estimation;

[0099] d3. Denoise processing: Detect and delete outliers and inconsistent data;

[0100] d4. Field conversion: Convert the format of the data fields to a unified standard format

[0101] c23. Perform data collation;

[0102] e1. Standardize fields: Maintain the consistency of the field names and data types of the same category of POI;

[0103] e2. Geocoding: Perform geocoding on the address of the POI to convert the address into longitude and latitude coordinates;

[0104] e3. Data conversion: Convert the POI data into point data;

[0105] c24. By associating POI data with township administrative regions, analyze the spatial change trends and patterns of POIs, and then obtain the spatial distribution of educational facilities, medical facilities, cultural facilities, sports facilities, and elderly care facilities;

[0106] c25. Aggregate the data of educational, medical, cultural, sports, and elderly care facilities within the region, divide by the area of the regional administrative region, and obtain the average density of educational, medical, cultural, sports, and elderly care facilities in the town area. The calculation formula is as follows:

[0107]

[0108] Among them, d i is the regional facility density, S i is the total number of educational, medical, cultural, sports, and elderly care facilities in the region, and R i is the area of the regional administrative region;

[0109] c26. Among the townships that are not yet classified, those with the density of educational, medical, cultural, sports, and elderly care facilities greater than the city's average facility density are classified as urban-driven types;

[0110] c3. Obtain night-time light data;

[0111] c31. Obtain the data source: Obtain data through DMSP satellites and SuomiNPP satellites;

[0112] c32. Perform data cleaning: Take 0.30x10-9W / (m2 / sr) as the threshold for denoising to further remove hot spots and background noise in the VNL V2 data;

[0113] c33. Correct the DN values of the stable bright elements after mutual correction:

[0114]

[0115] In the formula: DN n represents the DN value of the corrected year 2022, and DN a and DN b represent the DN values obtained by two types of sensors, a and b, in the year 2022 before correction;

[0116] The DN value of the night-time light image in the year after the previous year should not be less than that of the previous year. Therefore, perform continuity correction:

[0117]

[0118] In the formula: DN n represents the DN value of the corrected year 2022, and DN 2021represents the DN value for the year 2021 before calibration; DN 2022 represents the DN value for the year 2022 before calibration, and has undergone over-saturation calibration:

[0119]

[0120] In the formula: DN n represents the DN value for the year 2022 after calibration, DN 2022 represents the DN value for the year 2022 before calibration;

[0121] c34. Use topographic and ground feature information to mask the night light data, and remove areas without artificial lighting in the ocean and forest;

[0122] c35. According to the processed night light data and the vector data of the administrative regions of Ningbo City, use the tool of tabular display of zonal statistics in Arcgis10.7 to calculate the average value of the statistical type, so as to calculate the average value of the night light intensity in Ningbo City;

[0123] c36. Calculate the night light brightness values of the towns in Ningbo City, and count the night light brightness values of each town into a table; calculate the average value of the night light intensity of the whole city; use the average value of the night light intensity in Ningbo City as the threshold;

[0124] c37. Among the towns that have not been classified into types for the time being, classify the towns with night light intensity higher than the average brightness of the whole city as urban-driven types;

[0125] S4. Define the spatial development types of each town area, and conduct spatial visualization on GIS. For the town area units that have not been classified into any development type, on the one hand, it indicates that their spatial characteristics are not very obvious under the framework of "three zones and three lines", and they perform generally in terms of population, facility construction and economic development. Such spaces need to combine their own endowments and actual development situations, and adopt appropriate measures according to local conditions to take a personalized regional development path. Therefore, such town area units are uniformly classified as characteristic development types.

[0126]

[0127]

[0128] Table 1 Classification results of the spatial development types of the town areas in Ningbo City

[0129] The urban-driven type mainly refers to the areas facing less spatial control, having a large scale and proportion of urban development space, less restriction on development rights, superior location, dense population distribution, large urban scale and grade, perfect infrastructure, relatively abundant public service supply, and good economic development foundation. The region is mainly dominated by industrial and commercial development, and the driving role of the leading industries is obvious.

[0130] The prominent feature of the agricultural security type is that agriculture has a relatively large proportion in space, and the proportion of the area of permanent basic farmland in the administrative area exceeds 34%. It undertakes the important responsibility of agricultural security. Therefore, its spatial development authority is relatively restricted. The guarantee of agricultural space restricts the expansion of its urban development space and flexible ways to increase development space such as index replacement. In addition to having a large-scale agricultural space, the agricultural security type generally has relatively superior topographic conditions, relatively dense population distribution, relatively large urban scale, and relatively complete infrastructure. From the perspective of industrial development, although agricultural space occupies a considerable proportion in terms of space, in this type of region, the economic driving role of industry is often obvious, which is the main channel for the employment and income increase of regional residents.

[0131] The most obvious feature of the ecological protection type is that the ecological space accounts for a large proportion and faces the strictest control. The rigid requirements of ecological protection restrict the development and utilization of resources and various economic activities within the region, which is the most obvious in terms of development constraints among the four types. Generally, the population density in this type of region is low, the urban scale is small, the density of the infrastructure network is relatively low, and the types and perfection degree of public service supply are insufficient. From the perspective of economic development, there is no industry with an obvious driving role within the region, and the economic level is relatively backward.

[0132] From the perspective of spatial control, for the characteristic development type, its urban space, agricultural space, and ecological space account for a relatively small proportion of the administrative area. There are no obvious restrictions on agricultural security and ecological protection, but at the same time, there is no large-scale urban space development advantage. Generally, the population density is relatively low, the urban scale is small, the density of the infrastructure network is lower than that of the urban driving type and the agricultural security type, and the homogenization degree of public service supply is relatively insufficient. From the perspective of economic development, the leading industries with a strong driving role in this type of region are not obvious.

[0133] On the basis of classifying the spatial development types of townships, in order to promote the region towards economic development, future development strategies for different spatial development types are further proposed. This study proposes differential spatial development strategies from the perspectives of spatial control, spatial organization, spatial supply, spatial empowerment, and spatial transaction, such as

[0134] Table 2, in order to provide a basis for formulating economic development action strategies for different types of regions.

[0135]

[0136]

[0137]

[0138] Table 2 Spatial Development Strategies for Urban Driving Type, Agricultural Security Type, Characteristic Development Type, and Ecological Protection Type

[0139] For the urban-driven type, in terms of spatial control, it is necessary to limit the unlimited expansion of urban space and promote the improvement of the quality and efficiency of urban space; in terms of spatial organization, it is necessary to guide the layout and spatial optimization of the urban system with the orientation of agglomeration and scale benefits; in terms of spatial supply, it is necessary to supply and allocate infrastructure and public services in accordance with the principle of spatial centralization to improve the economy of spatial supply; from the perspective of spatial empowerment, it is necessary to pay attention to the development rights of villages in the city and villages on the outskirts of the city and their interaction with the urban area; from the perspective of spatial transaction, it is necessary to strive for new development space through methods such as the replacement of construction land indicators and the transformation of stock space.

[0140] For the agriculture-guaranteed type, in terms of spatial control, it is necessary to firmly grasp the main line of food supply security, and at the same time promote the improvement of the utilization efficiency and effectiveness of urban space dominated by industry; in terms of spatial organization, on the one hand, it is necessary to promote the concentration and large-scale operation of agricultural production space, and on the other hand, optimize the spatial layout of industrial land with concentration as the main and moderate dispersion as the supplement; in terms of spatial supply, it still adheres to the principle of centralized supply, and the supply of infrastructure and public services matches the spatial distribution of the population; in terms of spatial empowerment, it is necessary to not only pay attention to the issue of the attached land rights of a large number of agricultural facilities, but also pay attention to the improvement of systems such as the conversion of the use of industrial land; in terms of spatial transaction, it is necessary to encourage the transfer of the right to operate contracted land to promote large-scale operation, and at the same time, a smooth secondary industrial land market should be established to promote the flow of industrial land to the uses and users with the highest output and economic benefits.

[0141] For the characteristic development type, in terms of spatial control, it is necessary to fully give the right to utilize resources in non-ecological space, non-agricultural space and space within the non-urban development boundary to give play to characteristic industries and tap the development potential of the region; in terms of spatial organization, due to the dispersive characteristics of characteristic resources, it determines a relatively dispersed mode of spatial organization; in terms of spatial supply, it promotes the construction and improvement of the infrastructure network in accordance with the principle of relative equilibrium, and supplies public services in accordance with the principle of combining concentration and dispersion, so as to save costs to the greatest extent while ensuring demand to the greatest extent; in terms of spatial empowerment, it mainly promotes the determination of the ownership of regional characteristic natural resources and the activation path of historical and cultural resources; at the level of spatial transaction, it is necessary to promote the transfer of the ownership of various idle resources and improve the potential benefits of resources through means such as the establishment of a trading platform and the improvement of relevant systems.

[0142] For the ecological protection type, at the level of spatial control, the bottom line of ecological protection must be adhered to, and all kinds of economic activities and other activities that are not ecological-friendly within the area should be phased out; in terms of spatial organization, it mainly guides the concentrated layout and reduction of the number of settlements to protect the ecological space to the greatest extent; in terms of the way of spatial supply, it is oriented towards flexible supply, and the basic needs can be guaranteed by infrastructure, and the public service supply is mainly provided in a flexible way to avoid resource waste caused by large-scale investment; in terms of spatial empowerment, on the premise of conforming to the plan and ecological environment protection, access restrictions should be imposed on the general ecological space, and at the same time, a path to realize the productization of ecological resources should be explored; in terms of spatial transactions, on the basis of learning from relevant pilot areas, the exploration of trading mechanisms for ecological products such as carbon emission rights trading can be carried out.

[0143] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and the descriptions in the specification are only preferred examples of the present invention, which do not limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for classifying town spatial development types from the perspective of economic development, characterized by: This division method specifically includes the following steps: S1. Obtain the "three zones and three lines" data of the study area, process the data and set the threshold; S2. According to the proportion of urban space, agricultural space, and ecological space and the set thresholds, the development types of town units with significant spatial characteristics are delineated, and three types of town units are divided: town-driven, ecological protection, and agricultural guarantee; S3. For town units whose types are not clearly defined by the three zones and three lines data, analyze the population size and population density data of their urban system, obtain the population size and population density of different town areas, obtain the POI data of education, culture, sports, and elderly care facilities, obtain the night light data, and process and set thresholds. For town units that meet the relevant threshold conditions, they are classified as town-driven development types, and for town units that do not meet any threshold conditions, they are classified as characteristic development types; S4. Clarify the spatial development type of each town and conduct spatial visualization on GIS.

2. The method for classifying town spatial development types from the perspective of economic development according to claim 1 is characterized by: The step S1 specifically includes the following steps: a1. Obtain the city's township-level administrative boundary vector map data through the National Basic Geographic Information Center; a2. Use the Intersect tool to divide the "three zones and three lines" according to the township-level administrative districts, and count the area of ​​each township jurisdiction and the area of ​​each township's "three zones and three lines" respectively, so as to calculate the ratio of each township's "three zones and three lines" to the township administrative district area. The specific calculation formula is as follows: Xi is the ratio of the "three zones and three lines" of a township to the area of ​​the township administrative area, mi is the area of ​​the "three zones and three lines" of a township, and Ri is the area of ​​the township administrative area; a3. The thresholds of the three control lines for the spatial functional type classification standards are set to be 0.45, 0.34, and 0.34 respectively.

3. The method for classifying town spatial development types from the perspective of economic development according to claim 1 is characterized by: The step S2 specifically includes the following steps: b1. Classify towns and villages where the ratio of the ecological protection red line area to the administrative area of ​​the town and village is greater than 0.45 as ecological protection type; b2. Classify the townships where the ratio of the ecological protection red line area to the township administrative area is less than 0.45 and the ratio of the permanent basic farmland protection area to the township administrative area is greater than 0.34 as agricultural protection type; b3. Townships where the ratio of the ecological protection red line area to the township administrative area is less than 0.45, and the ratio of the permanent basic farmland protection area to the township administrative area is less than 0.34, and the ratio of the urban development boundary area to the township administrative area is greater than 0.34, are classified as town-driven; b4. For townships where the ratio of the ecological protection red line area to the township administrative area is less than 0.45, the ratio of the permanent basic farmland protection area to the township administrative area is less than 0.34, and the ratio of the urban development boundary area to the township administrative area is less than 0.34, no classification will be made.

4. The method for classifying town spatial development types from the perspective of economic development according to claim 1 is characterized by: The step S3 specifically comprises the following steps: c1. Obtain population data; c2. Get POI data; c3. Obtain night light data.

5. The method for classifying town spatial development types from the perspective of economic development according to claim 4 is characterized by: The step c1 specifically includes the following steps: c11. Obtain data source; c12. According to the statistical yearbook data, the current population of each township in the city is counted respectively. According to the extracted township population size and the obtained township administrative district data, the population density of each township is calculated. The calculation formula is as follows: Among them, ri is the population density of the township, Pi is the population of the township, and Ri is the administrative area of ​​the township; c13. Set threshold; c14. Divide the results based on population data.

6. The method for classifying town spatial development types from the perspective of economic development according to claim 4 is characterized by: The step c2 specifically includes the following steps: c21. Use programming languages ​​to write crawler programs through open data websites and platforms, simulate users visiting target websites and crawl POI data to obtain the name, address, coordinates, and category of POIs; c22. Perform data cleaning; c23. Organize data; c24. By analyzing the correlation between POI data and township administrative districts, we can obtain the spatial change trend and law of POI, and then obtain the spatial distribution of educational facilities, medical facilities, cultural facilities, sports facilities and elderly care facilities; c25. Summarize the data of education, medical care, culture, sports and elderly care facilities within the region and divide them by the administrative area of ​​the region to obtain the average density of education, medical care, culture, sports and elderly care facilities in the town. The calculation formula is as follows: Among them, d i is the regional facility density, S i is the total number of regional education, medical, cultural, sports and elderly care facilities, R i is the area of ​​the regional administrative district; c26. In towns and villages that are not classified, if the density of education, medical care, culture, sports and elderly care facilities is greater than the average density of facilities in the whole city, they will be classified as town-driven.

7. The method for classifying town spatial development types from the perspective of economic development according to claim 4 is characterized by: The step c3 specifically comprises the following steps: c31. Obtain data source; c32. Perform data cleaning; c33. Correct the DN value of the stable bright element after mutual correction: Where: DN n Indicates the corrected DN value for 2022, DN a and DN b It represents the DN values ​​obtained by sensors a and b in 2022 before correction; The DN value of the night light image one year after is not less than the DN value of the previous year, so a continuity correction is performed: Where: DN n Indicates the corrected DN value for 2022, DN 2021 Indicates the DN value for 2021 before correction; DN 2022 Indicates the DN value in 2022 before correction, and performs oversaturation correction: Where: DN n Indicates the corrected DN value for 2022, DN 2022 It represents the DN value of 2022 before correction; c34. Use terrain and object information to mask the night light data and remove areas without artificial lighting such as oceans and forests; c35. Based on the processed night light data and Ningbo administrative district vector data, ArcGIS 10.7 was used to display the zoning statistics tool in a table, and the statistical type was average, so as to calculate the average night light intensity of Ningbo. c36. Calculate the night light brightness values ​​of towns and villages in Ningbo, and add the night light brightness values ​​of each town and village to a table; calculate the average night light intensity of the entire city; use the average night light intensity of Ningbo as the threshold; c37. Among the towns that are not classified, those whose nighttime light intensity is higher than the average brightness of the whole city will be classified as town-driven.

8. The method for classifying town spatial development types from the perspective of economic development according to claim 6 is characterized by: The step c22 specifically includes the following steps: d1. Remove duplicate data: Identify and remove duplicate POI data by comparing the unique identifiers of POIs; d2. Handle missing values: Check the missing fields in the data and fill in default values, ignore the record, or use interpolation methods to estimate; d3. De-noising: detecting and removing outliers and inconsistent data; d4. Field conversion: Convert the format of data fields into a unified standard format.

9. The method for classifying town spatial development types from the perspective of economic development according to claim 6 is characterized by: The step c23 specifically includes the following steps: e1. Standardized fields: maintain consistency in field names and data types for POIs of the same category; e2. Geocoding: Geocode the address of the POI and convert the address into longitude and latitude coordinates; e3. Data conversion: Convert POI data into point data.

Images