Method, device, equipment, medium and product for displaying quantized suburban circle vigor

Abstract

The invention provides a method, a device, equipment, a medium and a product for displaying quantized suburban layer vitality, and relates to the technical field of data processing, and the method comprises the steps: determining a target city of to-be-quantized suburban layer vitality; determining at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; determining the vitality in the area range corresponding to each suburban category; based on the vitality, determining a suburban circle vitality quantification result corresponding to the target city in a city administrative boundary geographic map containing the target city; the suburban ring layer vitality quantification result is used for representing the distribution condition of suburban categories corresponding to the target city. According to the invention, by determining the types of the suburban layers of the city, vitality quantification is carried out on the types of the suburban layers, and the vitality quantification is displayed in the urban administrative boundary geographic map, so that the accuracy of displaying the vitality distribution of the suburban layers is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to a method, device, equipment, medium and product for displaying and quantifying the vitality of suburban circles. Background Art

[0002] Currently, the vitality of green space such as urban parks is usually used to study the attractiveness of cities to the population. However, the area of urban parks is small and cannot alleviate the problem of insufficient urban green space. The suburban area is the transition zone between the city and the countryside and is also the key zone connecting the city and nature. Taking suburban farmland and ecological space as an organic part of the urban green infrastructure and encouraging people to visit and carry out various rest, entertainment and commercial activities can effectively alleviate the problem of insufficient urban green space.

[0003] However, current urban vitality research only focuses on urban parks and lacks research on the suburban vitality of cities. Due to the complex suburban circle structure of cities, if the method for displaying the vitality of urban parks is directly applied to the display of suburban vitality, it may lead to a decrease in the accuracy of displaying the vitality distribution of suburban circles. Summary of the Invention

[0004] The present invention provides a method, device, equipment, medium and product for displaying and quantifying the vitality of suburban circles, so as to solve the defect that directly applying the method for displaying the vitality of urban parks to the display of suburban vitality in the prior art may lead to a decrease in the accuracy of displaying the vitality distribution of suburban circles, and to achieve determining the categories of the suburban circles of a city, respectively quantifying the vitality of the suburban circle categories, and displaying the quantified vitality on the geographical map of the urban administrative boundary, thereby improving the accuracy of displaying the vitality distribution of suburban circles.

[0005] The present invention provides a method for displaying and quantifying the vitality of suburban circles, including: Determining a target city for which the vitality of the suburban circle to be quantified; Based on the built-up area boundary corresponding to the target city, determining at least one suburban category included in the target city; Determining the vitality degree within the regional scope corresponding to each of the suburban categories; Based on the vitality degree, displaying the quantified result of the vitality of the suburban circle corresponding to the target city in the geographical map of the urban administrative boundary including the target city; the quantified result of the vitality of the suburban circle is used to characterize the distribution of the suburban categories corresponding to the target city.

[0006] A method for displaying and quantifying the vitality of suburban circles provided by the present invention, wherein the suburban categories include the near suburbs, the middle suburbs, and the far suburbs. Based on the built-up area boundary corresponding to the target city, determining at least one suburban category included in the target city includes: using the built-up area boundary as the starting edge and expanding a first buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the near suburbs included in the target city; the first buffer zone range is used to define the scope of the near suburbs; using the boundary of the near suburbs as the starting edge and expanding the second buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the middle suburbs included in the target city; the second buffer zone range is used to define the scope of the middle suburbs; using the boundary of the middle suburbs as the starting edge and expanding the third buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the far suburbs included in the target city; the third buffer zone is used to define the scope of the far suburbs.

[0007] A method for displaying and quantifying the vitality of suburban circles provided by the present invention, wherein the target city includes at least two cities. Based on the vitality degree, displaying the quantification result of the vitality of the suburban circles corresponding to the target city in the urban administrative boundary geographical map including the target city includes: classifying the areas of the near suburbs, the middle suburbs, and the far suburbs of all the cities included in the target city respectively according to a preset area classification rule to obtain a plurality of area sets corresponding to the near suburbs, a plurality of area sets corresponding to the middle suburbs, and a plurality of area sets corresponding to the far suburbs; each area set is used to represent an area division interval; mapping the area division intervals in the plurality of area sets corresponding to the near suburbs onto the urban administrative boundary geographical map to obtain the near suburb area distribution map; mapping the area division intervals in the plurality of area sets corresponding to the middle suburbs onto the urban administrative boundary geographical map to obtain the middle suburb area distribution map; mapping the area division intervals in the plurality of area sets corresponding to the far suburbs onto the urban administrative boundary geographical map to obtain the far suburb area distribution map; based on the vitality degree, displaying the quantification result of the vitality of the suburban circles corresponding to the target city in the near suburb area distribution map, the middle suburb area distribution map, and the far suburb area distribution map respectively.

[0008] A method for displaying and quantifying the vitality of the suburban circle provided by the present invention, wherein the quantified results of the suburban circle vitality include the quantified results of the near suburbs, the quantified results of the middle suburbs, and the quantified results of the far suburbs. Based on the vitality, the quantified results of the suburban circle vitality corresponding to the target city are respectively displayed in the near suburb area distribution map, the middle suburb area distribution map, and the far suburb area distribution map, including: classifying the vitality of the near suburbs, the middle suburbs, and the far suburbs of all cities included in the target city respectively according to a preset vitality classification rule to obtain multiple vitality sets corresponding to the near suburbs, multiple vitality sets corresponding to the middle suburbs, and multiple vitality sets corresponding to the far suburbs, and each vitality set is used to represent a vitality division interval; displaying the vitality division intervals in the multiple vitality sets corresponding to the near suburbs in the near suburb area distribution map to obtain the quantified results of the near suburbs corresponding to each target city; displaying the vitality division intervals in the multiple vitality sets corresponding to the middle suburbs in the middle suburb area distribution map to obtain the quantified results of the middle suburbs corresponding to each target city; displaying the vitality division intervals in the multiple vitality sets corresponding to the far suburbs in the far suburb area distribution map to obtain the quantified results of the far suburbs corresponding to each target city.

[0009] A method for displaying and quantifying the vitality of the suburban circle provided by the present invention, wherein determining the vitality within the regional scope corresponding to each suburban category includes: determining the total number of thermal cloud pixels within the regional scope corresponding to each suburban category and the pixel values corresponding to each thermal cloud pixel; determining the vitality within the regional scope corresponding to each suburban category based on the total number of thermal cloud pixels and the pixel values corresponding to the thermal cloud pixels.

[0010] A method for displaying and quantifying the vitality of the suburban circle provided by the present invention. After displaying the quantified results of the suburban circle vitality corresponding to the target city in the urban administrative boundary geographical map including the target city based on the vitality, the method further includes: comparing the quantified results of the near suburbs, the quantified results of the middle suburbs, and the quantified results of the far suburbs to determine the distribution of the suburban circle vitality of the target city in the urban administrative boundary geographical map; determining the influencing factors of the suburban circle vitality based on the distribution of the suburban circle vitality; determining the strategy for improving the suburban circle vitality based on the influencing factors of the suburban circle vitality.

[0011] The present invention also provides a device for displaying and quantifying the vitality of the suburban circle, including the following modules: A target city determination module, used to determine the target city for which the vitality of the suburban circle is to be quantified; A suburban category determination module, used to determine at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; A vitality determination module, configured to determine the vitality within the regional scope corresponding to each of the suburban categories; A display module, configured to display, based on the vitality, the quantified suburban layer vitality result corresponding to the target city in the urban administrative boundary geographical map including the target city; the quantified suburban layer vitality result is used to characterize the distribution of the suburban categories corresponding to the target city.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for displaying and quantifying the vitality of the suburban layer as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for displaying and quantifying the vitality of the suburban layer as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for displaying and quantifying the vitality of the suburban layer as described in any one of the above is implemented.

[0015] The method, device, equipment, medium, and product for displaying and quantifying the vitality of the suburban layer provided by the present invention determine the target city for which the vitality of the suburban layer to be quantified; based on the built-up area boundary corresponding to the target city, determine at least one suburban category included in the target city; determine the vitality within the regional scope corresponding to each suburban category; based on the vitality, display the quantified suburban layer vitality result corresponding to the target city in the urban administrative boundary geographical map including the target city. In this way, by classifying the suburban layer of the target city and determining the vitality of each suburban category, a fine division of the suburbs is achieved, improving the accuracy of the suburban area. Moreover, by quantifying the vitality of each type of suburban area and displaying all the quantified results in the urban administrative boundary geographical map, the visualization of the suburban vitality is realized, improving the accuracy of displaying the vitality distribution of the suburban layer. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a flowchart of the method for displaying and quantifying the vitality of the suburban layer provided by the present invention.

[0018] Figure 2 It is a schematic structural diagram of the buffer zone of the suburban circle of a certain city provided by the present invention.

[0019] Figure 3 It is a schematic diagram showing the distribution of the number of cities with different near, middle, and far suburban areas provided by the present invention.

[0020] Figure 4 It is a distribution map of the number of cold and hot spot cities with near, middle, and far suburban areas provided by the present invention.

[0021] Figure 5 It is a distribution map of the number of cities with different vitality in the near, middle, and far suburbs provided by the present invention.

[0022] Figure 6 It is a schematic diagram showing the distribution of the number of cold and hot spot cities with vitality in the near, middle, and far suburbs provided by the present invention.

[0023] Figure 7 It is a schematic structural diagram of a device for displaying and quantifying the vitality of the suburban circle provided by the present invention.

[0024] Figure 8 It is a schematic structural diagram of an electronic device provided by the present invention. Detailed implementation manners

[0025] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] The following combines Figures 1-6 to describe the method for displaying and quantifying the vitality of the suburban circle of the present invention. This method can be applicable to the quantification of the vitality of the suburbs of any city. The execution subject of this method can be an electronic device, or a method for displaying and quantifying the vitality of the suburban circle set in the electronic device. The device for displaying and quantifying the vitality of the suburban circle can be implemented by software, hardware, or a combination of both.

[0027] Figure 1 It is a schematic flowchart of the method for displaying and quantifying the vitality of the suburban circle provided by the present invention. As Figure 1 shown, the method includes the following: Step 101, determine the target city for which the vitality of the suburban circle to be quantified.

[0028] Here, the target city for which the vitality of the suburban circle to be quantified can be understood as the research object. The target city can be a prefecture-level city, and the number can be any appropriate number, such as 1 or 294.

[0029] Here, the method for determining the target city can be any suitable method. For example, it can be randomly selected; or, a city whose urban area meets a threshold can be selected as the target city.

[0030] Step 102: Based on the built-up area boundary corresponding to the target city, determine at least one suburban category included in the target city.

[0031] Here, the built-up area boundary refers to the boundary of the urbanized area, excluding rural areas and suburbs. Among them, the built-up area boundary can be determined by extracting the artificial surface data layer or obtained from a public dataset.

[0032] It should be noted that the suburban categories include the near suburbs, the middle suburbs, and the far suburbs. The suburban circle of each target city includes the near suburbs, the middle suburbs, and the far suburbs. The distances of the near suburbs, the middle suburbs, and the far suburbs from the built-up area boundary increase in sequence. For example, the area within 1 kilometer from the built-up area boundary is the near suburbs, the part excluding the near suburbs within 5 kilometers from the built-up area boundary is the middle suburbs, and the part excluding the near suburbs and the middle suburbs within 15 kilometers from the built-up area boundary is the far suburbs.

[0033] Step 103: Determine the vitality within the regional scope corresponding to each suburban category.

[0034] Here, the vitality is used to characterize the attraction of a certain type of space to people and their various activities, and can be characterized by the number of people gathered or the diversity of activities within a certain space.

[0035] Here, the method for determining the vitality can be any suitable method. For example, it can be obtained through a vitality calculation formula; or, it can be obtained using a neural network model, etc.

[0036] Step 104: Based on the vitality, display the quantified vitality result of the suburban circle corresponding to the target city in the urban administrative boundary geographic map including the target city.

[0037] Among them, the quantified vitality result of the suburban circle is used to characterize the vitality distribution of the suburban category corresponding to the target city.

[0038] The vitality represents the number of visitors per unit hour within the suburban area, with the unit of person / hour.

[0039] Here, the method for obtaining the urban administrative boundary map can be any suitable method. For example, it can be obtained from the 1:1 million public version basic geographic information data; or, it can be obtained from a public dataset.

[0040] Here, the method for determining the quantification result can be to use mapping software, such as a professional geographic information (Arcgispro) platform, Google Earth Pro software, etc.

[0041] It should be noted that the quantification result refers to the visualization of vitality in the geographical map of the urban administrative boundary. Among them, the quantification method can be any suitable method. For example, the same suburban category of all target cities is quantified in a geographical map of the urban administrative boundary, that is, the suburban areas of all target cities are quantified in the geographical map of the urban administrative boundary, the mid-suburban areas of all target cities are quantified in the geographical map of the urban administrative boundary, and the far-suburban areas of all target cities are quantified in the geographical map of the urban administrative boundary; or, all suburban categories are quantified in a geographical map of the urban administrative boundary, etc.

[0042] In the embodiment of the present invention, by determining the target cities for quantifying the vitality of the suburban circles; based on the built-up area boundary corresponding to the target cities, determining at least one suburban category included in the target cities; determining the vitality within the regional scope corresponding to each suburban category; and based on the vitality, displaying the quantification result of the suburban circle vitality corresponding to the target cities in the geographical map of the urban administrative boundary including the target cities. In this way, by classifying the suburban circles of the target cities and determining the vitality of each suburban category, the fine division of the suburbs is realized, the accuracy of the suburban areas is improved, and moreover, the vitality of each type of suburban area is quantified, and all the quantification results are displayed in the geographical map of the urban administrative boundary, realizing the visualization of the suburban vitality and improving the accuracy of displaying the vitality distribution of the suburban circles.

[0043] Further, the suburban category includes the near suburbs, mid suburbs, and far suburbs. The step of determining at least one suburban category included in the target cities based on the built-up area boundary corresponding to the target cities includes: taking the built-up area boundary as the starting edge and expanding the first buffer range in the direction of expanding the built-up area range of the target cities to obtain the near suburbs included in the target cities; the first buffer range is used to define the range of the near suburbs; taking the boundary of the near suburbs as the starting edge and expanding the second buffer range in the direction of expanding the built-up area range of the target cities to obtain the mid suburbs included in the target cities; the second buffer range is used to define the range of the mid suburbs; taking the boundary of the mid suburbs as the starting edge and expanding the third buffer range in the direction of expanding the built-up area range of the target cities to obtain the far suburbs included in the target cities; the third buffer is used to define the range of the far suburbs.

[0044] Here, the first buffer range, the second buffer range, and the third buffer range can be any suitable ranges. For example, the first buffer range is 1 kilometer, the second buffer range is 5 kilometers, the third buffer range is 15 kilometers, etc.

[0045] For example, based on the built-up area boundary of each target city, the 15-minute activity distance under the three modes of travel, namely walking, public transportation and car, and the buffer width of 1 km, 5 km and 15 km is extended outward from the built-up area boundary as the standard, and the outer boundaries of the suburbs, middle suburbs and far suburbs of the city are delineated in turn. In order to cover the daily travel range of urban residents under different usage frequencies, user types, service natures and travel intentions, a buffer zone with a radius of 1 km, 5 km and 15 km is made from the built-up area of the city, and the part beyond the city area is eliminated. Based on this classification, the suburbs are divided into three circles: suburbs (bandwidth of 1 km, covering the range within which residents can walk), middle suburbs (bandwidth of 4 km, covering the range within which residents can take public transportation), and far suburbs (bandwidth of 10 km, covering the range within which residents can take cars).

[0046] Here, the buffer range can use Euclidean distance instead of road network distance, avoiding systematic errors caused by insufficient road network coverage in suburban areas.

[0047] For example, Figure 2 It is a structural schematic diagram of a buffer zone of a certain city suburban area provided by the present invention, such as Figure 2 As shown, dark green represents the suburban area, light green represents the mid-suburban area, and purple represents the exurban area.

[0048] In an embodiment of the present invention, by determining different buffer zone ranges, the target city is divided into three types of suburbs: near, medium and far, thereby achieving a fine division of suburban circles, further visualizing different categories of suburban vitality, and improving the accuracy of displaying and quantifying the vitality distribution of suburban circles.

[0049] Further, the target city includes at least two cities. Displaying the quantification result of the suburban layer vitality corresponding to the target city in the geographical map of the urban administrative boundary containing the target city based on the vitality includes: classifying the areas of the near suburbs, middle suburbs, and far suburbs of all cities included in the target city according to a preset area classification rule to obtain multiple area sets corresponding to the near suburbs, multiple area sets corresponding to the middle suburbs, and multiple area sets corresponding to the far suburbs; each area set is used to represent an area division interval; mapping the area division intervals in the multiple area sets corresponding to the near suburbs onto the geographical map of the urban administrative boundary to obtain the near suburb area distribution map; mapping the area division intervals in the multiple area sets corresponding to the middle suburbs onto the geographical map of the urban administrative boundary to obtain the middle suburb area distribution map; mapping the area division intervals in the multiple area sets corresponding to the far suburbs onto the geographical map of the urban administrative boundary to obtain the far suburb area distribution map; and displaying the quantification result of the suburban layer vitality corresponding to the target city in the near suburb area distribution map, the middle suburb area distribution map, and the far suburb area distribution map respectively based on the vitality.

[0050] It should be noted that the number of area sets for each type of suburban area of all target cities can be any appropriate number. For example, the number of area sets for each type of suburban area can be five, respectively representing five types of area division intervals: low, relatively low, medium, relatively high, and high. Among them, the area range in the low-class area set is 19 - 240 square kilometers (km 2 ), the area range in the relatively low-class area set is 241 - 488, the area range in the medium-class area set is 489 - 836 km 2 , the area range in the relatively high-class area set is 837 - 1310 km 2 , and the area range in the high-class area set is 1311 - 31527 km 2 .

[0051] Here, mapping the area division interval onto the geographical map of the urban administrative boundary is essentially visualizing the area categories in the geographical map of the urban administrative boundary.

[0052] It should be noted that the area preset classification rule includes but is not limited to the natural break method, clustering, etc. Among them, the natural break method is a statistical method for grading and classifying according to the numerical statistical distribution law, which maximizes the differences between classes. By finding the natural turning points and characteristic points of the data, the research object is divided into groups with similar properties. The natural break method can make the classification of data more reasonable.

[0053] Exemplarily, the natural break method is used to divide the suburban results corresponding to the area into five categories according to the numerical value: low, relatively low, medium, relatively high, and high. Then, the break thresholds of the suburbs are applied to visualize the areas of the middle suburbs and the outer suburbs in turn. The darker the color, the higher the degree.

[0054] It should be noted that after classifying the inner suburbs, middle suburbs, and outer suburbs of all target cities using the natural break method, multiple area sets corresponding to the inner suburbs, multiple area sets corresponding to the middle suburbs, and multiple area sets corresponding to the outer suburbs are obtained; the area division intervals in the multiple area sets corresponding to the inner suburbs, the area division intervals in the multiple area sets corresponding to the middle suburbs, and the area division intervals in the multiple area sets corresponding to the outer suburbs are mapped on the geographical map of the urban administrative boundary to obtain the inner suburb area distribution map, the middle suburb area distribution map, and the outer suburb area distribution map. Based on the vitality, the suburban circle vitality quantification results corresponding to the target city are respectively displayed in the inner suburb area distribution map, the middle suburb area distribution map, and the outer suburb area distribution map.

[0055] Exemplarily, the average area of the inner suburb regions of 294 cities in China is 431.61 km2, the average area of the middle suburb regions is 1816.39 km2, and the average area of the outer suburb regions is 5384.82 km2. Through simulation experiments, it is obtained that the hot spot cities with larger suburban areas are mainly located in the North China Plain and the Northeast Plain, and the cold spot cities with smaller suburban areas are mainly located in the mountainous areas of the southwest.

[0056] Figure 3 It is a schematic diagram of the number distribution of cities with different inner, middle, and outer suburb areas provided by the present invention. As Figure 3 shown, the horizontal axis represents the suburban area, the vertical axis represents the number of cities, and different depths are used to represent the inner suburbs (Peri-suburban), middle suburbs (Mid-suburban), and outer suburbs (Outer-suburban) respectively.

[0057] Through simulation experiments, it is obtained that with the gradient change of the inner, middle, and outer suburbs, the number of hot spot cities (Hot Spot, HS) with larger suburban areas gradually increases and gradually shifts northward in spatial distribution; the number of cold spot cities (ColdSpot, CS) with smaller suburban areas first increases and then decreases, and gradually gathers southwestward in spatial distribution.

[0058] Figure 4 It is a distribution map of the number of cold and hot spot cities with inner, middle, and outer suburb areas provided by the present invention. As Figure 4 shown, the horizontal axis represents the cold and hot spot percentage, and the vertical axis represents the number of cities. Blue represents cold spot cities, red represents hot spot cities, and white represents not significant cities (Not significant Spot, NS).

[0059] In the embodiments of the present invention, the classification thresholds of the suburban area classification results are used to classify the corresponding mid-suburbs and far-suburbs of the target city, unifying the classification criteria for different categories of suburban areas, making different categories of suburban areas comparable, enabling a more intuitive display of the distribution of different categories of suburban areas, and improving the accuracy of visualizing the suburban area.

[0060] Furthermore, the quantification results of the suburban area vitality include the quantification results of the near-suburbs, mid-suburbs, and far-suburbs. Based on the vitality, the quantification results of the suburban area vitality corresponding to the target city are respectively displayed in the near-suburb area distribution map, the mid-suburb area distribution map, and the far-suburb area distribution map, including: based on a preset vitality classification rule, the near-suburbs, mid-suburbs, and far-suburbs of all cities included in the target city are respectively classified by vitality to obtain multiple vitality sets corresponding to the near-suburbs, multiple vitality sets corresponding to the mid-suburbs, and multiple vitality sets corresponding to the far-suburbs, and each vitality set is used to represent a vitality division interval; the vitality division intervals in the multiple vitality sets corresponding to the near-suburbs are displayed in the near-suburb area distribution map to obtain the quantification results of the near-suburbs corresponding to each target city; the vitality division intervals in the multiple vitality sets corresponding to the mid-suburbs are displayed in the mid-suburb area distribution map to obtain the quantification results of the mid-suburbs corresponding to each target city; the vitality division intervals in the multiple vitality sets corresponding to the far-suburbs are displayed in the far-suburb area distribution map to obtain the quantification results of the far-suburbs corresponding to each target city.

[0061] It should be noted that the vitality set refers to the vitality division interval, and each target city corresponds to a near-suburb vitality, a mid-suburb vitality, and a far-suburb vitality.

[0062] Here, the number of sets corresponding to each category of suburban area for all target cities can be any appropriate number. For example, the number of vitality sets for each category of suburban area can be five, respectively representing five categories of vitality division intervals: low, relatively low, medium, relatively high, and high. Among them, the vitality range in the low-class vitality set is 0 people / hour, the vitality range in the relatively low-class vitality set is 1 - 76 people / hour, the vitality range in the medium-class vitality set is 77 - 90 people / hour, the vitality range in the relatively high-class vitality set is 91 - 100 people / hour, and the vitality range in the high-class vitality set is 101 - 115 people / hour.

[0063] Here, mapping the vitality classification results in the area distribution map is essentially visualizing the vitality categories in the area distribution map.

[0064] It should be noted that the preset classification rules for vitality include but are not limited to the natural break method, clustering, etc.

[0065] Exemplarily, after classifying the suburban vitality of the target city using the natural breakpoint method, the classification thresholds of the suburban vitality classification results are obtained. The central suburbs and outer suburbs of all target cities are classified according to the classification thresholds of the suburban vitality classification results, and the central suburban vitality classification results and outer suburban vitality classification results are obtained. The classification results of various suburban vitalities are mapped in the corresponding area distribution maps to obtain their respective corresponding quantification results.

[0066] Exemplarily, through simulation experiments, it can be seen that from the perspective of spatial distribution, the vitality of the suburbs in the eastern coastal areas and South China is relatively high. The farther away from the built-up area, the lower the vitality of the suburbs. The suburban vitality mostly concentrates at 80 - 100 people per hour, and its distribution curve is the most to the right among the three buffer zones, indicating that the number of cities with high suburban vitality is relatively large; the central suburban vitality mostly concentrates at 50 - 80 people per hour, and its distribution curve is to the left, indicating that the relatively few central suburban areas with high vitality; the outer suburban vitality mainly concentrates at 35 - 75 people per hour, and its distribution curve shifts further to the left compared with the central suburban vitality.

[0067] Figure 5 It is the distribution map of the number of cities with different vitalities in the inner, central, and outer suburbs provided by the present invention. As Figure 5 shown, the horizontal axis represents the vitality, and the vertical axis represents the number of cities. It can be seen that the suburban vitality of cities concentrates between 40 - 100.

[0068] Exemplarily, through simulation experiments, it can be known that the inner, central, and outer suburban vitalities show spatial aggregation. The corresponding global Moran's indices are 0.292, 0.272, and 0.380 (P < 0.001) respectively. The results of the cold and hot spot analysis more clearly depict the spatial aggregation pattern. The hot spot areas of the inner suburban vitality are mainly distributed in southern China, and the cold spots appear in the northern regions and the Qinghai-Tibet Plateau. The hot spots of the central suburban vitality appear in the southeast coastal areas, and the cold spots appear in the northeast, northwest, and the southwestern part of the Qinghai-Tibet Plateau. The hot spot areas of the outer suburban vitality significantly contract towards the coast in the southeast coastal areas and expand to a certain extent in North China. The cold spots are mainly distributed in the northeast, northwest, and some parts of central China.

[0069] Figure 6 It is the schematic diagram of the cold and hot spot city number distribution of the inner, central, and outer suburban vitalities provided by the present invention. As Figure 6 shown, the horizontal axis represents the cold and hot spot percentage, and the vertical axis represents the number of cities. Blue represents cold spot cities, red represents hot spot cities, and white represents insignificant cities.

[0070] In the embodiments of the present invention, the classification thresholds of the suburban vitality classification results are used to classify the corresponding mid-suburbs and far-suburbs of the target city, unifying the division criteria for different categories of suburban areas, making different categories of suburban areas comparable, being able to more intuitively display the vitality distribution of different categories of suburban areas, and improving the accuracy and fineness of quantifying suburban vitality.

[0071] Further, determining the vitality within the regional scope corresponding to each of the suburban categories includes: determining the total number of thermal cloud pixels within the regional scope corresponding to each of the suburban categories and the element values corresponding to each of the thermal cloud pixels; based on the total number of thermal cloud pixels and the element values corresponding to the thermal cloud pixels, determining the vitality within the regional scope corresponding to each of the suburban categories.

[0072] Here, the element value corresponding to the thermal cloud pixel can be provided by the intelligent eye population location data. Specifically, according to the Mercator coordinate system, the space is divided into grids of 200 meters by 200 meters, and the number of terminals that have called the Software Development Kit (SDK) of the location software every 1 hour is counted. Finally, the thermal value (value) within the region is assigned to the centroid point to obtain the element value corresponding to the thermal cloud pixel. Among them, the population data can be obtained by taking the annual average of the data continuously collected for one week in April, July, October 2023, and January 2024, etc.

[0073] Here, the vitality represents the number of people visiting per unit area in the suburban area. The higher the value, the higher the vitality realization degree of the area.

[0074] Here, the method for determining the vitality can be any suitable method. For example, it can be determined through the vitality calculation formula; or for example, it can be determined through the mapping relationship among the total number of thermal cloud pixels, the element value corresponding to the thermal cloud pixel, and the vitality, etc.

[0075] Exemplarily, the calculation of the vitality V is as follows in formula (1): (1) Wherein, is the value of the i-th thermal cloud pixel within the buffer zone of the near suburb (or mid-suburb, far-suburb); i = 1, 2, …, N; N is the total number of thermal cloud pixels within the corresponding buffer zone space range of the near suburb (or mid-suburb, far-suburb).

[0076] In the embodiments of the present invention, determining the vitality through the total number of thermal cloud pixels and the thermal cloud pixel value improves the accuracy of the vitality.

[0077] Further, after displaying the quantified vitality results of the suburban circles corresponding to the target city in the geographical map of the urban administrative boundary including the target city based on the vitality, the method further includes: comparing the quantified results of the near suburbs, the middle suburbs, and the far suburbs to determine the distribution of the vitality of the suburban circles of the target city in the geographical map of the urban administrative boundary; determining the influencing factors of the vitality of the suburban circles based on the distribution of the vitality of the suburban circles; and determining the strategies for improving the vitality of the suburban circles based on the influencing factors of the vitality of the suburban circles.

[0078] Here, the influencing factors of the vitality of the suburban circles may be natural, socio-economic and other factors, and the natural factors include the proportion of agricultural land and altitude.

[0079] Exemplarily, the inhibitory effect of the proportion of agricultural land is more significant in the near suburbs, while the inhibitory effect of altitude is more significant in the middle and far suburbs. In the near suburb area, due to the non-open operation status of a large number of farmlands, on the one hand, the extensive distribution of farmlands excludes human activities inside the farmlands, and at the same time restricts the expansion of surrounding commercial, entertainment and other infrastructures, thus affecting the vitality of this area. In the middle and far suburb areas, the development and construction of areas with a large altitude are difficult and the development cost is high, so the vitality of the suburbs is restricted.

[0080] In the embodiment of the present invention, after quantifying the suburban circles of the target city, the distribution of the vitality of the suburban circles is obtained, and according to the distribution of the vitality, the influencing factors of the vitality are determined, so as to promote the vitality improvement measures classified by type, region and according to local conditions.

[0081] It should be noted that the sustainable development issues caused by urbanization need to consider the city and its surrounding areas as a whole. As the transition zone between the city and the countryside, the suburban area is significantly affected by the city and has a large amount of ecological space, including farmland. It is also the key zone connecting the city and nature. Through a case study of 294 prefecture-level cities in China, this study found that there are significant spatial heterogeneities in the area distribution, social, economic, natural development, and the realization of suburban vitality in the suburbs of China. Generally speaking, the vitality and development conditions of the suburbs in the southeastern coastal areas are significantly better than those in other regions. The northwest and northeast are the regions with relatively backward suburban development in China. This heterogeneity also has different characteristics in the near suburbs, middle suburbs, and far suburbs. The farther the suburbs are, the lower the vitality. Natural and socio-economic factors will affect the vitality of the urban suburbs, and the nature of the influence of different factors on suburban vitality is different. The factors with inhibitory effects are mainly the proportion of agricultural land and altitude, and the factors with promoting effects are mainly the density of points of interest (POI) and the proportion of built-up areas. The effects of the influencing factors show a progressive change from the near suburbs to the middle and far suburbs. Policy factors are also one of the reasons for the existing spatial heterogeneity in suburban development. In the future, it is necessary to fully consider the current situation of the spatial heterogeneity of the social, economic, and natural development and vitality of the existing suburbs in China, and take measures to improve vitality in a classified and regional manner according to local conditions.

[0082] The device for displaying and quantifying the vitality of suburban circles provided by the present invention will be described below. The device for displaying and quantifying the vitality of suburban circles described below can be mutually corresponding and referred to the method for displaying and quantifying the vitality of suburban circles described above.

[0083] Figure 7 is a schematic structural diagram of the device for displaying and quantifying the vitality of suburban circles provided by the present invention, as Figure 7 described, the device 1900 for displaying and quantifying the vitality of suburban circles includes: A target city determination module 1901, configured to determine a target city for which the vitality of the suburban circle is to be quantified; A suburban category determination module 1902, configured to determine at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; A vitality determination module 1903, configured to determine the vitality within the regional scope corresponding to each of the suburban categories; A display module 1904, configured to display the quantified result of the vitality of the suburban circle corresponding to the target city in a geographical map of the urban administrative boundary including the target city based on the vitality; the quantified result of the vitality of the suburban circle is used to characterize the distribution of the suburban categories corresponding to the target city.

[0084] In some embodiments, the suburban category includes the near suburbs, the middle suburbs, and the far suburbs. The suburban category determination module 1902 is specifically configured to: use the built-up area boundary as the starting edge and expand a first buffer zone range in the direction of expanding the built-up area of the target city to obtain the near suburbs included in the target city; the first buffer zone range is used to define the range of the near suburbs; use the boundary of the near suburbs as the starting edge and expand the second buffer zone range in the direction of expanding the built-up area of the target city to obtain the middle suburbs included in the target city; the second buffer zone range is used to define the range of the middle suburbs; use the boundary of the middle suburbs as the starting edge and expand the third buffer zone range in the direction of expanding the built-up area of the target city to obtain the far suburbs included in the target city; the third buffer zone is used to define the range of the far suburbs.

[0085] In some embodiments, the target city includes at least two cities. The display module 1904 is specifically configured to: classify the areas of the near suburbs, the middle suburbs, and the far suburbs of all the cities included in the target city respectively according to a preset area classification rule to obtain multiple area sets corresponding to the near suburbs, multiple area sets corresponding to the middle suburbs, and multiple area sets corresponding to the far suburbs; each area set is used to represent an area division interval; map the area division intervals in the multiple area sets corresponding to the near suburbs on the urban administrative boundary geographical map to obtain the near suburb area distribution map; map the area division intervals in the multiple area sets corresponding to the middle suburbs on the urban administrative boundary geographical map to obtain the middle suburb area distribution map; map the area division intervals in the multiple area sets corresponding to the far suburbs on the urban administrative boundary geographical map to obtain the far suburb area distribution map; based on the vitality, display the quantified results of the suburban circle vitality corresponding to the target city in the near suburb area distribution map, the middle suburb area distribution map, and the far suburb area distribution map respectively.

[0086] In some embodiments, the quantification results of the suburban circle vitality include the quantification results of the near suburbs, the middle suburbs, and the far suburbs. The display module 1904 is specifically configured to: classify the vitality of the near suburbs, the middle suburbs, and the far suburbs of all cities included in the target city based on a preset vitality classification rule, to obtain multiple vitality sets corresponding to the near suburbs, multiple vitality sets corresponding to the middle suburbs, and multiple vitality sets corresponding to the far suburbs, where each vitality set is used to represent a vitality division interval; display the vitality division intervals in the multiple vitality sets corresponding to the near suburbs in the near suburb area distribution map to obtain the quantification results of the near suburbs corresponding to each target city; display the vitality division intervals in the multiple vitality sets corresponding to the middle suburbs in the middle suburb area distribution map to obtain the quantification results of the middle suburbs corresponding to each target city; and display the vitality division intervals in the multiple vitality sets corresponding to the far suburbs in the far suburb area distribution map to obtain the quantification results of the far suburbs corresponding to each target city.

[0087] In some embodiments, the vitality determination module 1903 is specifically configured to: determine the total number of thermal cloud pixels within the regional scope corresponding to each suburban category and the meta-values corresponding to each thermal cloud pixel; and determine the vitality within the regional scope corresponding to each suburban category based on the total number of thermal cloud pixels and the meta-values corresponding to the thermal cloud pixels.

[0088] In some embodiments, after displaying the quantification results of the suburban circle vitality corresponding to the target city in the urban administrative boundary geographical map based on the vitality, the device 200 for displaying the vitality of the quantified suburban circle further includes a strategy determination module, which is specifically configured to: compare the quantification results of the near suburbs, the middle suburbs, and the far suburbs to determine the distribution of the suburban circle vitality of the target city in the urban administrative boundary geographical map; determine the influencing factors on the suburban circle vitality based on the distribution of the suburban circle vitality; and determine the strategy for improving the suburban circle vitality based on the influencing factors on the suburban circle vitality.

[0089] Figure 8 is a schematic structural diagram of the electronic device provided by the present invention, as Figure 8As shown, the electronic device may include: a processor 2010, a communication interface 2020, a memory 2030 and a communication bus 2040, wherein the processor 2010, the communication interface 2020 and the memory 2030 communicate with each other through the communication bus 2040. The processor 2010 may call the logic instructions in the memory 2030 to execute a method for displaying and quantifying the vitality of suburban circles, the method comprising: determining a target city for quantifying the vitality of suburban circles; determining at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; determining the vitality within the area corresponding to each suburban category; based on the vitality, displaying the quantification result of the vitality of the suburban circle corresponding to the target city in the city administrative boundary geographical map containing the target city; the quantification result of the vitality of the suburban circle is used to characterize the distribution of the suburban category corresponding to the target city.

[0090] In addition, the logic instructions in the above-mentioned memory 2030 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0091] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for displaying the quantified vitality of suburban circles provided by the above methods, the method including: determining a target city for quantifying the vitality of suburban circles; based on the built-up area boundary corresponding to the target city, determining at least one suburban category included in the target city; determining the vitality within the area corresponding to each of the suburban categories; based on the vitality, displaying the quantified result of the vitality of the suburban circle corresponding to the target city in a city administrative boundary geographical map containing the target city; the quantified result of the vitality of the suburban circle is used to characterize the distribution of the suburban categories corresponding to the target city.

[0092] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements a method for displaying and quantifying the vitality of suburban circles, and the method includes: determining a target city for which the vitality of the suburban circles is to be quantified; determining at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; determining the vitality degree within the regional scope corresponding to each suburban category; displaying the quantification result of the vitality of the suburban circles corresponding to the target city in a geographical map of the urban administrative boundary including the target city based on the vitality degree; and the quantification result of the vitality of the suburban circles is used to characterize the distribution of the suburban categories corresponding to the target city.

[0093] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0094] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for displaying the vitality of suburban circles by quantification, characterized in that, Including: Determine the target city for quantifying the vitality of the suburban circle; Based on the built-up area boundary corresponding to the target city, determine at least one suburban category included in the target city; Determine the vitality degree within the regional scope corresponding to each suburban category; Based on the vitality degree, display the quantification result of the suburban circle vitality corresponding to the target city in the urban administrative boundary geographical map including the target city; the quantification result of the suburban circle vitality is used to characterize the distribution of the suburban categories corresponding to the target city.

2. The method for displaying and quantifying the vitality of suburban circles according to claim 1, wherein The suburban categories include the near suburbs, the middle suburbs and the far suburbs. Based on the built-up area boundary corresponding to the target city, determining at least one suburban category included in the target city includes: Take the built-up area boundary as the starting edge and expand the first buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the near suburbs included in the target city; the first buffer zone range is used to define the scope of the near suburbs; Take the boundary of the near suburbs as the starting edge and expand the second buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the middle suburbs included in the target city; the second buffer zone range is used to define the scope of the middle suburbs; Take the boundary of the middle suburbs as the starting edge and expand the third buffer zone range in the direction of expanding the built-up area scope of the target city to obtain the far suburbs included in the target city; the third buffer zone is used to define the scope of the far suburbs.

3. The method for displaying and quantifying the vitality of the suburban circle according to claim 2, characterized in that, The target city includes at least two cities. Based on the vitality degree, displaying the quantification result of the suburban circle vitality corresponding to the target city in the urban administrative boundary geographical map including the target city includes: According to the preset area classification rule, classify the areas of the near suburbs, the middle suburbs and the far suburbs of all the cities included in the target city respectively to obtain multiple area sets corresponding to the near suburbs, multiple area sets corresponding to the middle suburbs and multiple area sets corresponding to the far suburbs; each area set is used to characterize the area division interval; Map the area division intervals in the multiple area sets corresponding to the near suburbs on the urban administrative boundary geographical map to obtain the near suburb area distribution map; Map the area division intervals in the multiple area sets corresponding to the middle suburbs on the urban administrative boundary geographical map to obtain the middle suburb area distribution map; Map the area division intervals in the multiple area sets corresponding to the far suburbs on the urban administrative boundary geographical map to obtain the far suburb area distribution map; Based on the vitality degree, display the quantification result of the suburban circle vitality corresponding to the target city in the near suburb area distribution map, the middle suburb area distribution map and the far suburb area distribution map respectively.

4. The method for displaying and quantifying the vitality of suburban circles according to claim 3, characterized in that The quantification result of the suburban circle vitality includes the near suburb quantification result, the middle suburb quantification result and the far suburb quantification result. Based on the vitality degree, displaying the quantification result of the suburban circle vitality corresponding to the target city in the near suburb area distribution map, the middle suburb area distribution map and the far suburb area distribution map respectively includes: Based on the preset vitality classification rules, classify the vitality of the suburbs, mid-suburbs, and far-suburbs of all cities included in the target city respectively, to obtain multiple vitality sets corresponding to the suburbs, multiple vitality sets corresponding to the mid-suburbs, and multiple vitality sets corresponding to the far-suburbs. Each vitality set is used to represent the vitality division interval; Display the vitality division intervals in the multiple vitality sets corresponding to the suburbs in the suburban area distribution map to obtain the suburban quantification results corresponding to each target city; Display the vitality division intervals in the multiple vitality sets corresponding to the mid-suburbs in the mid-suburban area distribution map to obtain the mid-suburban quantification results corresponding to each target city; Display the vitality division intervals in the multiple vitality sets corresponding to the far-suburbs in the far-suburban area distribution map to obtain the far-suburban quantification results corresponding to each target city.

5. The method for displaying the vitality of the suburban circle layer by quantification according to any one of claims 1 to 4, characterized in that The determination of the vitality within the regional scope corresponding to each suburban category includes: Determine the total number of thermal cloud pixels within the regional scope corresponding to each suburban category and the pixel values corresponding to each thermal cloud pixel; Based on the total number of thermal cloud pixels and the pixel values corresponding to the thermal cloud pixels, determine the vitality within the regional scope corresponding to each suburban category.

6. The method for displaying and quantifying the vitality of suburban circles according to claim 4, characterized in that After displaying the suburban layer vitality quantification result corresponding to the target city in the urban administrative boundary geographical map based on the vitality, the method further includes: Compare the suburban quantification result, the mid-suburban quantification result, and the far-suburban quantification result to determine the distribution of the suburban layer vitality of the target city in the urban administrative boundary geographical map; Based on the distribution of the suburban layer vitality, determine the influencing factors of the suburban layer vitality; Based on the influencing factors of the suburban layer vitality, determine the strategies to improve the suburban layer vitality.

7. A device for displaying the vitality of suburban circles by quantification, characterized in that, Including: A target city determination module, used to determine the target city for quantifying the vitality of the suburban layer; A suburban category determination module, used to determine at least one suburban category included in the target city based on the built-up area boundary corresponding to the target city; A vitality determination module, used to determine the vitality within the regional scope corresponding to each suburban category; A display module, used to display the suburban layer vitality quantification result corresponding to the target city in the urban administrative boundary geographical map based on the vitality; the suburban layer vitality quantification result is used to represent the distribution of the suburban category corresponding to the target city.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the method for displaying and quantifying the vitality of the suburban layer as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for displaying and quantifying the vitality of the suburban layer as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for displaying and quantifying the vitality of the suburban layer as described in any one of claims 1 to 6.

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