TWI779821B - Visualization graph generation method and visual graph generation equipment - Google Patents

Abstract

A method for generating visualized map assets, which is executed by a visualized map asset generating device, which includes a household registration information server, a geographic information server, multiple school district announcement servers, and a map asset The raw server, the method of generating the visualized map is that the map generated server converts a formatted summary table according to the school district information of each school district announcement server and the neighborhood information indicated by the school district information, and generates multiple neighborhoods Point results, and then generate a minimum surface layer result based on the geographic information server and the household registration information server, and then convert a neighbor layer result based on this, and the map asset generation server then according to the formatted summary table, the Neighborhood layer results to produce a graphical format of the school district layer results.

Description

Visual map generation method and visual map generation device

The present invention relates to a data processing method and equipment for commercial purposes, in particular to a method and equipment for producing visual graphics.

At present, when the education authorities of counties and cities announce the school districts of the schools under their jurisdiction, they announce the area or neighborhood of each school district in text form, so that the public can check the school districts where they live.

However, since the text format of the address of the people’s residence is not the same as that of the announced school district area, it is easy to cause inconvenience to the people’s information query and comparison, and it is impossible to intuitively know the area of their residence from the information announced by the education authority. School District.

Therefore, how to present relevant information for the public to intuitively know the school district they belong to is one of the current research directions.

Therefore, an object of the present invention is to provide a method for generating visual images to overcome the disadvantages of the prior art.

Therefore, the visualization image generation method of the present invention is executed by a visualization image generation device, and the visualization image generation device includes a household registration information server that records a plurality of neighborhood information, a storage map information and a plurality of neighborhood information a geographic information server, a plurality of school district announcement servers that are respectively connected to the geographic information server and each stores a school district information, and a map asset that is communicatively connected to the geographic information server and the school district announcement servers Each neighborhood information recorded by the household registration information server indicates a plurality of house numbers, and the geographical information server provides information about the distribution of the house numbers indicated by the neighborhood information, and provides information about each house number Latitude and longitude information, each school district information respectively indicates the corresponding multiple neighborhood information, the visualization map generation method includes a step (A), a step (B), a step (C), a step (D), and a Step (E).

In the step (A), the map generation server converts a formatted summary table according to the school district information stored in each school district announcement server and presented in text form, and the neighborhood information indicated by the school district information.

In the step (B), the image generation server generates a plurality of neighborhood point results from the geographic information server, each neighborhood point result indicates the distribution position corresponding to one of the neighborhood information, and the neighborhood points The neighborhood information indicated by the result is the same as the neighborhood information recorded by the household registration information server.

In the step (C), the map generating server generates a minimum polygon layer result according to the data stored in the geographic information server, and the minimum polygon layer result is related to map information and population distribution.

In the step (D), the map generation server converts a neighborhood layer result according to the neighborhood point results and the minimum plane layer result, and the neighborhood layer result indicates the distribution range of one of the neighborhood information.

The step (E) is that the image generating server generates a graph-formatted school district layer result from the geographic information server according to the formatted summary table and the neighborhood layer result, and the school district layer result indicates one of the school district information , and the corresponding distribution range of the school district information.

In addition, another object of the present invention is to provide a visual image generation device to overcome the disadvantages of the prior art.

Therefore, the visualized map generation device of the present invention includes a household registration information server, a geographic information server, multiple school district announcement servers, and a map generation server.

The household registration information server records a plurality of neighborhood information, and each neighborhood information indicates a plurality of house numbers respectively.

The geographic information server stores map information and a plurality of neighborhood information, provides distribution locations of house numbers indicated by the neighborhood information, and provides latitude and longitude information about each house number.

The school district announcement servers are respectively connected to the geographic information server in communication, and each school district announcement server stores a piece of school district information, and each school district information indicates a plurality of corresponding neighborhood information.

The image generation server is in communication connection with the geographic information server and the school district announcement servers.

The map generation server converts a formatted summary table according to the school district information stored in each school district announcement server and presented in text form, and the neighborhood information indicated by the school district information.

The image generation server generates a plurality of neighborhood point results from the geographic information server, and each neighborhood point result indicates the distribution location corresponding to one of the neighborhood information, and the neighborhood point results indicated by the The neighborhood information is the same as the neighborhood information recorded by the household registration information server.

The map asset generation server generates a minimum surface layer result according to the data stored by the geographic information server and the household registration information server, and the minimum surface layer result is related to map information and population distribution.

The map generation server converts a neighborhood layer result according to the neighborhood point results and the minimum plane layer result, and the neighborhood layer result indicates the distribution range of one of the neighborhood information.

The map generation server generates a graph-formatted school district layer result from the geographic information server according to the formatted summary table and the neighborhood layer result, the school district layer result indicates one of the school district information, and corresponds to the school district information distribution range.

The effect of the present invention lies in that: the map generation server calculates the content in text form of the formatted collection table according to the neighborhood point result and the minimum surface layer result indicating the area distribution corresponding to one of the neighborhood information, and then converts For the imaged school district layer result.

Referring to FIG. 1 , an embodiment of the visualized map production device of the present invention includes a household registration information server 2 , a geographic information server 3 , multiple school district announcement servers 4 , and a map production server 5 .

The household registration information server 2 can be, for example, a plate database of the Ministry of the Interior, which records a plurality of neighborhood information, and each neighborhood information indicates a plurality of house numbers.

The geographic information server 3 can be, for example, Google Earth or Google maps, which store map information and a plurality of neighborhood information, and provide the distribution of the house numbers indicated by the neighborhood information, and also provide information about the latitude and longitude of each house number .

These school district announcement servers 4 can be, for example, the education bureaus of the county and city governments, respectively communicating with the geographic information server 3, and each school district announcement server 4 stores a piece of school district information, and each school district information indicates the corresponding Multiple neighborhood information.

The map production server 5 is in communication connection with the geographic information server 3 and the school district announcement servers 4 .

Referring to Fig. 2, a method for generating a visual map performed in this embodiment includes a step (A), a step (B), a step (C), a step (D), a step (E), and a Step (F).

In the step (A), the image generating server 5 converts a formatted summary table according to the school district information stored in each school district announcement server 4 and presented in text form, and the neighborhood information indicated by the school district information.

With reference to FIG. 3 , the detailed flow of the step (A) is described in detail, including a sub-step (A1) and a sub-step (A2).

This sub-step (A1) is for the education bureaus of the county and city governments, that is, the announcement server 4 of each school district, to announce the annual school district neighborhood list presented in text format, that is, the information of each school district.

This sub-step (A2) integrates the text information of each year’s school district neighborhood list into a formatted summary table with a consistent format for the image asset generation server 5, and more deeply, the announcement server 4 for each school district The content of the announcement may have various differences such as full-width/half-width, uppercase/lowercase, hyphenation, etc. Integrating such information into a consistent format will facilitate information processing in subsequent steps.

Referring to FIG. 2 again, the step (B) is that the map generation server 5 generates a plurality of neighborhood point results from the geographic information server 3, and each neighborhood point result indicates the distribution position corresponding to one of the neighborhood information. , and the neighborhood information indicated by the neighborhood point results is the same as the neighborhood information recorded by the household registration information server 2 .

With reference to Figure 4, the detailed flow of this step (B) is described in more detail, including a sub-step (B1), a sub-step (B2), a sub-step (B3), a sub-step (B4), and a sub-step (B5).

The sub-step (B1) is that the image generating server 5 reads the house numbers stored in the household registration information server 2, and each house number indicates an address information.

In the sub-step (B2), the image generating server 5 converts the latitude and longitude information corresponding to each house number from the geographic information server 3 .

This sub-step (B3) is an information extraction result converted by the image generation server 5 according to the latitude and longitude information and address information. Further explanation, the image generation server 5 converts the corresponding latitude and longitude information through the geographic information server 3 Each corresponding address indicates a mile attribute, which is the information extraction result. The information extraction result indicates the address information, latitude and longitude information, and mile attribute corresponding to each house number. For example: the household registration information server 2. Each house number in the stored neighborhood information contains OO (A); the latitude and longitude information converted by the geographical information server 3 according to the house number also has a set of addresses (B) containing OO; The latitude and longitude information obtained through the geographic information server 3 is used to overlap the correlation result with the coordinates with the boundary map of the household registration information server 2 to obtain the third property (C). Therefore, a Group address information will have three kinds of inside information (above A, B, C), among them, A and B are the inside attributes in OO extracted by regular expressions (RegExp, regular expression) from the complete house number address, and C is the spatial connection technology ( spatial join).

The sub-step (B4) is for the map generation server 5 to judge whether the address information indicated by the information extraction result matches the property corresponding to the house numbers provided by the geographic information server 3, that is, each The house number will get the attributes in three places, leaving only the house numbers with all three matching (the above-mentioned A, B, C), and the attributes in the household administration space and the government space (the above-mentioned A, C), Other house numbers will not be included in the follow-up work.

Cooperate with referring to Fig. 5, further illustrate the detailed method of this sub-step (B4), can be divided into a detailed stage (B41), a detailed stage (B42), a detailed stage (B43), a detailed stage (B44), and a Detailed stage (B45).

The detailed stage (B41) is to check the positioning accuracy of the house number, that is, each house number corresponding to the neighborhood information indicated by the information extraction result by the map generation server 5, and the information stored in the geographic information server 3 The degree of matching of the house number comparison further illustrates that the output of the geographic information server 3 will have "original input address, database comparison address, longitude and latitude, and positioning level", and only the positioning level 1 (database address and input address) will be used. an exact match).

The detailed stage (B42) is the inner space logic check, that is, the image generation server 5 further compares the neighborhood information indicated by the information extraction result with the geographical information server according to the comparison result of the detailed stage (B41). 3 The stored neighborhood information is compared to match the degree, that is, the address obtained through the household registration number will have the attribute (A), and the input to the geographic information server to obtain the output will have a comparison address, which also has the attribute (B), and the output There are also coordinates in the interior, which are aligned with the government open data (inner boundary layer) to obtain the inner attribute (C) of the spatial alignment.

The detailed stage (B43) is a logical check of point proximity, that is, the map generation server 5 further converts the distribution range of each neighborhood information from the information extraction result according to the comparison result of the detailed stage (B42). , and compared with the distribution range corresponding to the neighborhood information stored in the geographical information server 3, in the detailed stage (B43), in order to simplify the repeated coordinates of the house number, only one piece of data is kept, and the piece of data kept must be In the records of the household registration information server, the house number with the latest date. In addition, the definition of duplicate house numbers is: (1) the same house number but different floors, (2) the attributes of the neighborhood and the neighborhood are different, but the latitude and longitude are exactly the same.

The detailed stage (B44) is to check the freshness of neighborhood information. In detail, due to factors such as new construction projects or demolition of old houses, the neighborhood information and the house numbers of each neighborhood information will inevitably increase or decrease accordingly. Relevant information is recorded by the household registration information server 2, and in the detailed stage (B44), the graphic asset generation server 5 further communicates with the household registration information server according to the comparison result of the detailed stage (B43). Device 2 records the latest neighborhood information and the corresponding house number for comparison to update the information.

The detailed stage (B45) is to check the adjacent spatial points of the qualified house number, that is, the map generation server 5 confirms whether the updated neighborhood information and the corresponding house number are based on the comparison result of the detailed stage (B44). It is consistent with the properties corresponding to these house numbers provided by the geographic information server 3, that is, comparing the three kinds of houses of each house number, only leaving the three all consistent (above-mentioned A, B, C), and household registration House numbers with the same information as those in the government space (above A, C), and other house numbers will not be included in the follow-up operation.

Referring to Fig. 4 again, the sub-step (B5) is that if the judgment result of the sub-step (B4) is yes, the image generation server 5 generates the neighborhood points according to the updated neighborhood information and corresponding house numbers result. What needs to be added is that through the process of each detailed stage of this sub-step (B4), the house number is checked, and the address of the last house number left will contain coordinate attributes in this sub-step (B2), which can be used as a map, In space, the relative position and visual coordinate points can be distinguished.

Referring to Fig. 2 again, the step (C) is that the map production server 5 produces a minimum surface layer result according to the data stored by the geographical information server 3 and the household registration information server 2, and the minimum surface layer result is related to Map information and population distribution numbers.

With reference to FIG. 6 , the detailed flow of the step (C) is described in detail, including a sub-step (C1) and a sub-step (C2).

This sub-step (C1) reads the map information stored by the geographic information server 3 for the map generation server 5, such as the national road traffic network, terrain, water system, national parks, metropolitan parks, industrial areas, etc. distribution, roads / MRT road network, county, city and village boundaries, population distribution information and other information.

This sub-step (C2) is for the image generation server to perform layer stacking operations on the data read from this step (C1) to generate the minimum surface layer result, that is, the stacking is converted from this sub-step (C1) The layers of , through spatial decomposition and fusion, produce the result of the minimum surface layer.

Referring to Fig. 2 again, the step (D) is that the image generation server 5 converts a neighborhood layer result according to the neighborhood point position results and the minimum plane layer result, and the neighborhood layer result indicates the distribution of one of the neighborhood information range, and the neighborhood information is the one with the largest distribution area among the neighborhood area proportions indicated by the minimum surface layer result.

With reference to FIG. 7 , the detailed flow of the step (D) is described in detail, including a sub-step ( D1 ), a sub-step ( D2 ), and a sub-step ( D3 ).

Referring to the following table 1, the sub-step (D1) is that the map generation server 5 calculates the results of the neighborhood points and the result of the minimum surface layer to generate a result of the ratio of the neighborhood points, the neighborhood points The ratio result indicates a plurality of neighborhood information, and a plurality of house number points corresponding to the neighborhood information and the corresponding neighborhood ratio. In more detail, the neighborhood point ratio result refers to the minimum surface layer result, In the range of each minimum surface, there are several adjacent house numbers in the space corresponding to them, and their proportions. For example, in Table 1, in the result of the minimum surface layer numbered 2122, there are 20 house numbers in the space. There are 015 neighbors, 017 neighbors, and 019 neighbors respectively. After calculating the proportion of neighborhood points, the smallest surface numbered 2212 is classified as 015 neighbors in Renaili. There are 20 house number data in the space range of number 2122 Neighborhood house number Neighborhood ratio Renai Li 015 Neighborhood 15 75% Renai Li 017 Neighborhood 3 15% Renai Li 019 Neighborhood 2 10% total 20 100%

Referring to the following table 2, the sub-step (D2) is that the image generation server 5 judges that one of the neighborhood information in the result of the smallest plane layer does not have a corresponding neighborhood house number point, and then judges that among other adjacent neighborhood information, The area ratio corresponding to the neighborhood point ratio result is the highest, and the neighborhood point ratio result is indicated as corresponding to the neighborhood information. For example, if there is no house number point in the spatial range of the minimum surface layer result When assigning neighbor attributes, use this sub-step (D1) to classify the smallest surface (x1~xn) after neighbors. Assuming that there are neighbor attributes and the largest area is x2, x and x2 will be given the same neighbor attributes. Taking Table 2 again, assuming that in this sub-step (D1), there is no point in the spatial range numbered 2213 that can be assigned its adjacent attributes, then search for other minimum surfaces with adjacent attributes in the adjacent range, respectively numbered 2211 and 2212 , 2214, of which 2212 has the largest area, then 2213 will be given the same 2212 Renai Li 015 neighbor property. Neighboring minimum polygon layer results around number 2213 Minimum Polygon Layer Number Neighborhood attribute area 2211 Renai Li 013 Neighborhood 40.86 2212 Renai Li 015 Neighborhood 50.44 2214 Renai Li 017 Neighborhood 10.5

This sub-step (D3) is that the image generation server 5 generates the result of the neighborhood layer according to the result of the step (D2). The proportion of each neighbor within the range of the surface, and assign the neighbor attribute of the maximum proportion of neighbors in the minimum surface; as explained in this sub-step (D2), if there is no house number point in the space range of the minimum surface (x) can Give it an adjacent attribute, then through the sub-step (D2) in Figure 7, find the smallest adjacent surface (x1~xn) adjacent to this surface, assuming that the area is the largest and has neighbors through this sub-step (D1) If the attribute is x2, x and x2 will be given the same neighbor attribute. Accordingly, all the smallest faces will have the neighbor attribute, which is the neighbor layer.

Referring to Fig. 2 again, the step (E) is that the map generation server 5 generates a graphically formatted school district layer result from the geographic information server 3 according to the formatted summary table and the neighborhood layer result, the school district The layer result indicates one of the school district information and the corresponding distribution range of the school district information, that is, the school district layer result is presented in the form of a street map, and the distribution range of the neighborhood information indicated by the school district information is divided.

The step (F) is for the map generation server 5 to determine whether the distribution range of the school district information corresponding to the school district layer result is the same as the neighborhood information corresponding to the school district information in the formatted summary table, if not, then Make corrections to the school district layer results. What needs to be added is that when the judgment is negative, it means that there is an abnormal detection, and the error situation may be a construction error when building the formatted summary table in this step (A), so when executing this step (E) The spatial range of the wrong school district is generated. The details of subsequent corrections to the results of the school district layer will be detailed later. In addition, if there is no error in the construction of the data in this step (A), it may be independent, non-intersecting or incomplete. Sexual school districts (such as Dazhi High School in Zhongshan District, Taipei City, Central China, and Haishan Elementary School, Banqiao District, New Taipei City).

With reference to Figure 8, the detailed flow of this step (F) is described in more detail, including a sub-step (F1), a sub-step (F2), a sub-step (F3), a sub-step (F4), a sub-step ( F5), a sub-step (F6), a sub-step (F7), a sub-step (F8).

This sub-step (F1) is the verification of the spatial coverage of the school district, that is, through the map production server 5 or manually, the school district map result generated in the step (E) is provided to the school district announcement server 4 Compare the school district information with the specific distribution range of the corresponding neighborhood information.

This sub-step (F2) is a single completeness check of the school district space. Refer to Figure 9. In more detail, this sub-step (F2) is to check whether each school layer is complete. The general intuitive idea is that the school district will be complete However, when the actual government divides school districts, due to factors such as neighborhood population and terrain, there is a possibility that the middle range of a school may be other schools. If it is confirmed that the actual school district is indeed the case (check whether there is a construction error in the formatted summary table in the step (A), if so, modify the summary table and re-execute the step (E); if not, judge to pass the check.

This sub-step (F3) is to check the logic of multiple independent non-intersecting surfaces within the school district. In more detail, refer to Figure 10. This sub-step (F3) is to check whether each school layer is independent. The general intuitive idea is that the school district It will be a complete surface, but when the actual government divides the school district, it may be possible for a school to have two independent surfaces due to factors such as neighborhood population and terrain. If it is confirmed that the actual school district is indeed the case (check this step (A) Whether there is a construction error in the formatted summary table, if so, modify the formatted summary table and re-execute the step (E); if not, as shown in Figure 10 (shown as the actual school district division), then judge to pass the check.

This sub-step (F4) is the logical check of the hollow area of the school district. Specifically, the visual effect of the human eye presented by the result of the school district layer is a continuous distribution range. However, the distribution range of some school district information is not a complete area. , but distributed in multiple street neighborhoods, so this sub-step (F4) is to further remove the distribution range that does not belong to the school district information from the school district map result by the map production server 5 or manually.

This sub-step (F5) is the statistics of the average error rate of the spatial identification of the school district. Specifically, the household registration number has the neighborhood attribute, and the geographic information server will also have the longitude and latitude attributes. Compared with the construction of this step (A) The formatted summary table can directly assign the address of the house number, such as the correct elementary school and middle school district, and mark it as X1. Through the above-mentioned method of spatial connection of the school district layer, the elementary school and junior high school of the school district layer corresponding to the address can be obtained. The attribute of the school district, marked as Y1, and then calculate the proportion of discrepancies between X1 and Y1 among all the house numbers in a mile, that is, the average error rate statistics of the school district space identification.

This sub-step (F6) is the statistics of the spatial hit rate of the school district. Specifically, if the unit is mile, there are a total of 456 mile in Taipei City. Among the 456 mile, how many mile "average error rate of spatial recognition" reaches Internally defined error criteria (eg <=10%). Assuming that 453 out of 456 meet the internally defined error standard, the spatial hit rate is 99.34%.

This sub-step (F7) is the correction of the abnormal boundary layer. Specifically, the map generation server 5 corrects the result of the school district layer according to the results of the sub-step (F1) to the sub-step (F4).

The sub-step (F8) regenerates the school district layer result for the map generation server 5 according to the correction result of the sub-step (F7).

To sum up, the visualized map generation device of the present invention converts the school district information in text form and the corresponding neighborhood information into a corresponding formatted summary table through the map generation server, and uses the geographic information server Generate the neighborhood point results indicating the distribution area corresponding to one of the neighborhood information, and then generate the minimum surface layer result, and convert the neighborhood layer result indicating the distribution range of one of the neighborhood information, according to the format The summary table and the results of the neighborhood layer are used to generate the information of one of the school districts and the distribution range corresponding to the school district information in a graphical format, so that the public can know the school district they belong to at a glance from the result of the school district layer scope, so really reach the creative purpose of the present invention.

But the above-mentioned ones are only embodiments of the present invention, and should not limit the scope of the present invention. All simple equivalent changes and modifications made according to the patent scope of the present invention and the content of the patent specification are still within the scope of the present invention. Within the scope covered by the patent of the present invention.

2: household registration information server 3: Geographic information server 4: School District Announcement Server 5: Image generation server A: steps B: step C: steps D: steps E: steps F: steps A1: Substeps A2: Substeps B1: Substep B2: Substep B3: Substeps B4: Substeps B5: Substep C1: substep C2: Substep D1: Substep D2: Substep D3: Substep F1: Substep F2: Substep F3: Substep F4: Substep F5: Substep F6: Substep F7: Substep F8: Substep B41: Detailed stage B42: Detailed stage B43: Detailed stage B44: Detailed stage B45: Detailed stage

Other features and effects of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: Fig. 1 is a block diagram, illustrates an embodiment of the present invention's visualized image production equipment; Fig. 2 is a flowchart illustrating a method for generating a visual graph executed in this embodiment; Fig. 3 is a flow chart, assisting in explaining a step (A) of the method for generating the visualized image; Fig. 4 is a flow chart, assisting in explaining a step (B) of the method for generating the visualized image; Fig. 5 is a flowchart, assisting in explaining a sub-step (B4) of this step (B); Fig. 6 is a flow chart, assisting in explaining a step (C) of the method for generating the visualized image; Fig. 7 is a flow chart, assisting in explaining a step (D) of the method for generating the visualized image; Fig. 8 is a flow chart, assisting in explaining a step (F) of the method for generating the visualized image; Fig. 9 is a schematic diagram to assist in explaining a sub-step (F2) of the method for generating a visual map; and FIG. 10 is a schematic diagram to assist in explaining a sub-step ( F3 ) of the method for generating a visualization image.

A: steps

B: step

C: steps

D: steps

E: steps

F: steps

Claims (10)

A method for generating a visualized map, executed by a visualized map generating device, the visualized map generating device includes a household registration information server that records a plurality of neighborhood information, a geographical location that stores map information and a plurality of neighborhood information An information server, a plurality of school district announcement servers that are respectively connected to the geographic information server and each stores information of a school district, and a map generation server that is communicatively connected to the geographic information server and the school district announcement servers Each neighborhood information recorded by the household registration information server indicates a plurality of house numbers, and the geographical information server provides information about the distribution of the house numbers indicated by the information in the neighborhood, and provides information about the latitude and longitude of each house number , each school district information respectively indicates a plurality of corresponding neighborhood information, the method of generating the visual map includes: (A) the map generation server stores the school district information in text form according to the school district announcement server stored in each school district , and the neighborhood information indicated by the school district information is converted into a formatted summary table; (B) the map generation server generates a plurality of neighborhood point results from the geographic information server, and each neighborhood point result indicates one of them The distribution location corresponding to the neighborhood information, and the neighborhood information indicated by the neighborhood point results is the same as the neighborhood information recorded by the household registration information server; (C) the image generation server according to the geographical The data stored by the information server generates a minimum surface layer result, and the minimum surface layer result indicates a plurality of area ratios, and each area ratio is a part of the distribution area corresponding to a neighborhood information; (D) The map asset generation server converts a neighbor layer result according to the neighborhood point results and the minimum polygon layer result, and the neighbor layer result indicates the distribution range of one of the neighborhood information; and (E) the map asset The health server generates a graph-formatted school district layer result from the geographic information server according to the formatted summary table and the neighborhood layer result, and the school district layer result indicates one of the school district information and the corresponding distribution range of the school district information . According to the method for generating a visual map as described in claim item 1, the geographic information server also provides a plurality of latitude and longitude information corresponding to the house numbers, wherein the step (B) includes the following sub-steps: (B1) the The map asset generation server reads the house numbers stored in the household registration information server, (B2) the map asset generation server converts the corresponding longitude and latitude information of each house number from the geographic information server, (B3) The map asset generation server converts the mile information extraction result according to the latitude and longitude information and address information, (B4) the image asset generation server judges whether the mile information indicated by the mile information extraction result is consistent with the mile information provided by the geographic information server The neighborhood information corresponding to the house numbers is consistent, and (B5) if yes, the image generation server generates the neighborhood point results according to the latitude and longitude information. The visual image generation method as described in claim 1, wherein the step (C) includes the following sub-steps: (C1) the image generation server reads the geographic information server storage The stored map information, and (C2) the image generation server performs a layer stacking operation on the result read in the sub-step (C1) to generate the minimum surface layer result. The visual image generation method as described in claim item 1, wherein, the step (D) includes the following sub-steps: (D1) the image generation server performs the calculation of the results of the neighborhood points and the result of the minimum surface layer Operation to generate a neighborhood point ratio result, the neighborhood point ratio result indicates a plurality of neighborhood information, and a plurality of house number points and corresponding neighborhood ratios corresponding to the neighborhood information, (D2) when The image generation server judges that one of the neighborhood information in the minimum layer results does not have a corresponding neighborhood house number point, then judges that among other adjacent neighborhood information, the area ratio corresponding to the neighborhood point ratio result is the highest, and Indicating the neighborhood point percentage result as corresponding to the neighborhood information, and (D3) the map generation server generates the neighborhood map result according to the result of step (D2). The method for generating a visual map as described in claim 1 further includes a step (F): the map generation server determines whether the distribution range of the school district information corresponding to the school district layer result is consistent with the formatted summary table In , the neighborhood information corresponding to the school district information is the same, if not, the result of the school district layer is corrected. A visual image generating device, comprising: a household registration information server, recording a plurality of neighborhood information, and each neighborhood information indicates a plurality of house numbers; A geographic information server, storing map information and multi-mile information, providing the distribution of house numbers indicated by the neighborhood information, and providing latitude and longitude information about each house number; and multiple school district announcement servers, respectively communicating with the Geographic information server communication connection, and each school district announcement server stores a school district information respectively, and each school district information indicates a plurality of corresponding neighborhood information; and a map asset generation server, and the geographic information server, the The communication link of the school district announcement server. The image generation server converts a formatted summary table according to the school district information stored in each school district announcement server and presented in text form, and the neighborhood information indicated by the school district information. The map generation server generates a plurality of neighborhood point results from the geographic information server, and each neighborhood point result indicates the distribution position corresponding to one of the neighborhood information, and the neighborhoods indicated by the neighborhood point results The information is the same as the neighborhood information recorded by the household registration information server, and the image generation server generates a minimum surface layer result according to the data stored by the geographic information server, and the minimum surface layer result indicates that multiple inner areas occupy Ratio, the area ratio of each mile is a part of the distribution area corresponding to a neighborhood information, the map generation server converts a neighborhood layer result according to the neighborhood point results and the minimum surface layer result, the neighborhood The layer result indicates the distribution range of one of the neighborhood information, and the map generation server generates a graph-formatted school district layer result from the geographic information server according to the formatted summary table and the neighborhood layer result, and the school district layer result Indicate the information of one of the school districts and the distribution range corresponding to the information of the school district. The visualized map generation device as described in claim 6, wherein the geographical resource The information server also provides a plurality of latitude and longitude information corresponding to the house numbers respectively. The map generation server reads the house numbers stored in the household registration information server, and converts each of the house numbers from the geographic information server. The longitude and latitude information corresponding to the house numbers, the image generation server then converts the information extraction result of a mile according to the latitude and longitude and address information, and judges whether the information of the mile indicated by the information extraction result is consistent with the information provided by the geographic information server Wait for the neighborhood information corresponding to the house number to match, and if so, the image generation server generates the neighborhood point results based on the latitude and longitude information. The visual map generation device as described in claim 6, wherein the map generation server reads the map information stored in the geographic information server, and the map generation server performs layer stacking on the read data operation to produce this minimum polygon layer result. The visual map generation device as described in claim 6, wherein the map generation server performs calculations on the results of the neighborhood points and the result of the minimum surface layer to generate a result of the ratio of the neighborhood points, the neighborhood The point proportion result indicates a plurality of neighborhood information, and a plurality of area ratios corresponding to the neighborhood information respectively. The map generation server then determines that one of the neighborhood information does not have a corresponding neighborhood house number point, and then judges the other In the adjacent neighborhood information, the area ratio corresponding to the neighborhood point ratio result is the highest, and the neighborhood point ratio result is indicated as corresponding to the neighborhood information, and the map generation server generates the neighborhood layer accordingly result. The visual map generation device as described in claim 6, wherein the map generation server determines the school district information corresponding to the school district layer result Whether the distribution range is the same as the neighborhood information corresponding to the school district information in the formatted summary table, if not, correct the result of the school district layer.

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