JP7557956B2 - Geographic information system, geographic information extraction method, and geographic information extraction program - Google Patents

Description

One aspect of the present disclosure relates to a geographic information system, a geographic information extraction method, and a geographic information extraction program .

Patent Document 1 describes a land valuation system that displays a polygon including sides that form approximately the same angle as the angle formed by the line elements that indicate the target section of the road price and that correspond to the boundary line with the front road, sets valuation attributes for valuing land through graphical editing operations on the polygon, obtains land valuation parameters for land having a standard shape based on the valuation attributes, and calculates the price of the land from a predetermined standard price and the valuation parameters.

Patent No. 3590052

The purpose is to provide information about geographical features.

A geographic information system according to a first aspect of the present disclosure includes:
a memory unit for storing first road network data, which is information relating to a road network, second road network data, which is information about roads including roads corresponding to flagpole lots not included in the first road network data, and building data, which is information about buildings including the connection relationships between the roads and buildings, all of which are contemporaneous data;
a comparison and extraction unit that extracts information about roads included in the flagpole lot by comparing the first road network data with the second road network data, and extracts information about buildings facing the extracted roads and meeting given requirements by referring to the building data, as information about land use or development;
an output unit that outputs the information extracted by the comparison and extraction unit;
Equipped with.
A geographic information extraction method according to a second aspect of the present disclosure includes:
1. A method for geographic information extraction performed by a geographic information system, comprising:
a comparison step of comparing first road network data, which is information on a road network, with second road network data, which is information on roads including roads corresponding to flagpole lots not included in the first road network, the first road network data being data from the same period;
a first extraction step of extracting information on a road included in the flagpole lot using a comparison result from the comparison step;
a second extraction step of extracting information on buildings that face the roads extracted in the first extraction step and that meet given requirements as information on land use or development, by referring to building data, which is information on buildings including connection relationships between the roads and buildings and is data from the same period as the first and second road network data;
Includes.
A geographic information extraction program according to a third aspect of the present disclosure,
On the computer,
a comparison step of comparing first road network data, which is information on a road network, with second road network data, which is information on roads including roads corresponding to flagpole plots not included in the first road network, the data being from the same period ;
a first extraction step of extracting information on a road included in the flagpole lot using a comparison result from the comparison step;
a second extraction step of extracting information on buildings facing the roads extracted in the first extraction step and corresponding to given requirements as information on land use or development, by referring to building data, which is information on buildings including connection relationships between the roads and buildings and is data from the same period as the first and second road network data;
Execute the command.

FIG. 1 is a diagram illustrating an example of an application and a functional configuration of a geographic information system according to an embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of a computer used for a geographic information system according to an embodiment. FIG. 11 is a diagram showing an example of a processing result obtained by the geographic information system according to the embodiment. 1 is a flowchart showing an example of an operation of the geographic information system according to the embodiment. FIG. 5 is a diagram showing a specific example corresponding to FIG. 4 . 10 is a flowchart showing another example of the operation of the geographic information system according to the embodiment. FIG. 7 is a diagram showing a specific example corresponding to FIG. 6 .

Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In the description of the drawings, identical or equivalent elements are given the same reference numerals, and duplicate descriptions will be omitted.

[System Overview]
In this embodiment, as an example, a computer system according to the present disclosure is applied to a geographic information system (GIS) 1. The geographic information system 1 according to the embodiment is a computer system that extracts features (e.g., buildings) along roads indicated by differences between a first road network and a second road network, and outputs information related to the features.

A feature is any tangible or intangible object that exists on the ground. A feature may be natural or man-made. For example, features may include mountains, farmland, residential areas, vacant lots, rivers, lakes, oceans, tourist sites, roads, railways, buildings, parks, towers, traffic lights, railroad crossings, pedestrian crossings, footbridges, buoys, and the like. Examples of intangible features include areas set up for any purpose (e.g., no-photography areas, temporary no-entry areas, etc.), areas where events are held, meeting places, photography spots, and the like. Naturally, the types of features are not limited to these. In this embodiment, buildings are shown as examples of features.

In the world, there are lands located on flagpole lots or lot extensions, lands located along narrow roads, and lands that fall into both categories. A flagpole lot refers to a road or land with a dead end. A lot extension refers to a long, narrow alley-like portion that connects a land located back from the road to the road. In general, "flagpole lot" and "lot extension" are synonymous, so in this disclosure, the two terms are considered to be interchangeable. A narrow road refers to a road with a narrow road width, and more specifically, a road whose width is less than a given threshold. Whether a certain road corresponds to a narrow road is discussed based on rules such as laws and ordinances. For example, the threshold value for width can be 2m, 3m, 4m, etc., depending on laws such as the Building Standards Act or local government ordinances.

Both flagpole lots (site extensions) and narrow roads are land that may be subject to constraints based on given requirements for development. In one example, the geographic information system 1 extracts features that correspond to such requirements. Thus, users of the geographic information system 1 can obtain information about the features. Real estate prices on flagpole lots (site extensions) generally tend to be low, for example, 20% to 30% lower than normal prices. On the other hand, land along narrow roads is land that cannot be rebuilt due to legal constraints such as the Building Standards Act. The geographic information system 1 extracts such flagpole lots (site extensions) or narrow roads, and can thereby provide information about land use or development to users such as real estate agents.

In one example, the geographic information system 1 identifies land corresponding to requirements (e.g., given development requirements) from differences in a road network and extracts buildings located on that land.

A road network refers to information that indicates attributes related to roads. Road attributes (road attributes) refer to the characteristics or properties of roads, and include, for example, geographical location, width, number of lanes, name, speed limit, traffic regulations, etc. In one example, the geographical location of a road network is represented by nodes and links. A node refers to a position that characterizes a road, and more specifically, refers to a position where the movement method of a mobile object (e.g., direction, speed, etc.) can be changed, or where the movement method changes. A link refers to a virtual line that is set to represent a road, and connects adjacent nodes. The shape of a link may be straight or curved, or may be a combination of straight and curved lines.

The road network that indicates a certain geographical area may change depending on the purpose of using or creating the road network. Therefore, a road that is defined in one road network may not be defined in another road network. The geographic information system 1 treats these two types of road networks as a first road network and a second road network, and extracts the difference between the two road networks. This difference is an example of data that indicates the position of the road that corresponds to the flagpole lot.

The geographic information system 1 extracts buildings along the road indicated by the difference. A building refers to a structure fixed to the land. The type, purpose of use, and structure of the building are not limited, and for example, the building may be a detached house, an apartment building, a commercial building, etc. A "road indicated by the difference" refers to a road that exists in either the first road network or the second road network but not in the other. A "building along the road" refers to a building that connects to that road, and more specifically, a building whose entrance/exit connects to that road.

[System Configuration]
1 is a diagram showing an example of the application and functional configuration of a geographic information system 1. In one example, the geographic information system 1 is connected to a database 20 via a communication network. The geographic information system 1 includes a calculation unit 11, an extraction unit 12, and an output unit 13 as functional modules. The calculation unit 11 is a functional module that calculates the difference between a first road network and a second road network. The extraction unit 12 is a functional module that extracts buildings along roads indicated by the difference. The output unit 13 is a functional module that outputs information about the extracted buildings.

There is no limitation on the computer that functions as the geographic information system 1. In one example, the geographic information system 1 may be configured as a personal computer or as a large computer such as a business server. The geographic information system 1 may be realized as a client-server system or as a stand-alone computer.

2 is a diagram showing an example of the hardware configuration of a computer 110 used for the geographic information system 1. For example, the computer 110 has a control circuit 100. In one example, the control circuit 100 has one or more processors 101, a memory 102, a storage 103, a communication port 104, and an input/output port 105. The processor 101 executes an operating system and an application program. The storage 103 is composed of a storage medium such as a hard disk, a non-volatile semiconductor memory, or a removable medium (e.g., a magnetic disk, an optical disk, etc.), and stores the operating system and the application program. The memory 102 temporarily stores a program loaded from the storage 103 or a calculation result by the processor 101. In one example, the processor 101 functions as each functional module of the geographic information system 1 by executing a program in cooperation with the memory 102. The communication port 104 performs data communication with other devices via the communication network NW according to instructions from the processor 101. The input/output port 105 performs input/output of electrical signals between input/output devices (user interfaces) such as a keyboard, mouse, and monitor according to instructions from the processor 101.

The storage 103 stores a program 120 for causing the computer to function as the geographic information system 1. The program 120 includes program code for causing the computer to function as the calculation unit 11, the extraction unit 12, and the output unit 13. The program 120 may be provided in a state in which it is permanently recorded on a non-transitory recording medium such as a CD-ROM, a DVD-ROM, or a semiconductor memory. Alternatively, the program 120 may be provided via a communication network as a data signal superimposed on a carrier wave.

The geographic information system 1 may be composed of one or more computers. When multiple computers are used, a single geographic information system 1 is logically configured by connecting these computers to each other via a communication network.

The database 20 is a non-transient storage medium or storage device that permanently stores data necessary for processing in the geographic information system 1. The database 20 may be constructed as part of the geographic information system 1, or may be provided in a computer system separate from the geographic information system 1. In one example, the database 20 stores vehicle road network data 21, total road network data 22, and building data 23.

The vehicle road network data 21 is data related to a vehicle road network. In this disclosure, the vehicle road network is a road network specialized for car navigation systems that covers only roads that vehicles can travel on. In one example, each record in the vehicle road network data 21 includes a road ID, a start node ID, an end node ID, and a width. The road ID is an identifier that uniquely identifies each individual road (in other words, each link). The start node ID is an identifier that uniquely identifies a node located at the start of a road (link). The end node ID is an identifier that uniquely identifies a node located at the end of a road (link). The width is the width of the road.

The entire road network data 22 is data related to the entire road network. In this disclosure, the entire road network is a road network that covers all roads for both vehicles and pedestrians. In one example, each record of the entire road network data 22 includes a road ID, a start node ID, an end node ID, a road width, and a site extension flag. Thus, the entire road network data 22 differs from the vehicular road network data 21 in that it includes a site extension flag as a data item. The site extension flag is flag information indicating whether or not a road (link) corresponds to a site extension (flagpole lot), and is represented by a binary value. For example, the site extension flag is "1" if the road corresponds to a site extension, and is "0" if it does not correspond to a site extension.

The building data 23 is data related to individual buildings. The building data 23 is an example of data related to features. In one example, each record of the building data includes a building ID, a name, a construction date, and an arrival point. The building ID is an identifier that uniquely identifies each building. The name is the official name or common name of the building, and is represented, for example, by the name of the head of the household, the house name, the building name, etc. The construction date is the time when the building was built, and is represented, for example, by the year and month, or the date. The age of the building can be calculated from the construction date, so the construction date is an example of data indicating the age of the building. The arrival point indicates the road (link) to which the entrance and exit of the building are connected, and the road ID of the road is set in this data item. When a building is set as the destination in a route search, for example, the position of the road (link) indicated by this arrival point is processed as the position of the destination. The arrival point is an example of a data item indicating the connection between the building and the road.

The structure of each data is not limited, and the data structure may be designed according to any policy. Each of the vehicle road network data 21, the total road network data 22, and the building data 23 may include any other data items. For example, at least one of the vehicle road network data 21 and the total road network data 22 may include at least one of the length and type of the road as a data item. The type of road is not limited, and may indicate various types such as national highways, motorways, pedestrian roads, and unopened roads. Alternatively, the building data 23 may include a data item related to the shape of the building. At least one of these data may be normalized or denormalized according to any policy and stored in one or more data tables.

Each data item of each piece of data may be set statically or dynamically. "Statically set" means that the value is set in advance and will not change without human intervention. On the other hand, "dynamically set" means that the value can be changed without human intervention in response to any event. Dynamic setting is achieved by running a program that controls a given data item on a specific computer. Dynamic setting may be performed by the geographic information system 1 or by another computer system.

Figure 3 is a diagram showing an example of a processing result obtained by the geographic information system 1. In this example, the geographic information system 1 processes, for a certain geographic range, a vehicular road network 200 that covers only roads 201 that vehicles can travel on, and a full road network 210 that covers all roads 211 for both vehicles and pedestrians. The calculation unit 11 calculates the difference between the vehicular road network 200 and the full road network 210 to extract roads 220 that exist in the full road network 210 but do not exist in the vehicular road network 200. The extraction unit 12 extracts buildings 230 along the roads 220. The output unit 13 outputs information about the extracted buildings 230. In Figure 3, a part of the geographic range is enlarged and the buildings 230 are highlighted by hatching. The roads 220 are typically site extensions (flagpole lots). Therefore, it can be said that the buildings 230 are located on the site extensions (flagpole lots).

Naturally, the combination of the first road network and the second road network is not limited to the entire road network and the vehicular road network, and the geographic information system 1 may treat any road network as the first road network or the second road network. In this regard, the geographic information system 1 may extract buildings that exist on land other than flagpole lots.

[System procedure]
An example of the operation of the geographic information system 1 will be described, along with an analysis method according to this embodiment, with reference to Fig. 4. Fig. 4 is a flow chart showing an example of the operation of the geographic information system 1 as a process flow S1.

In step S11, the calculation unit 11 calculates the difference between the first road network and the second road network. The calculation unit 11 reads out the vehicle road network data 21 and the all road network data 22 from the database 20, which correspond to a geographical range specified by the user or automatically. The calculation unit 11 reads out one of the vehicle road network data 21 and the all road network data 22 as the first road network, and the other as the second road network. The calculation unit 11 compares the two types of data to find the difference.

In step S12, the calculation unit 11 extracts a dead-end road from the difference and identifies the road as the site extension. In short, the calculation unit 11 extracts the site extension from the difference. The site extension is an example of a target road, which is a characteristic road extracted from the difference. A dead-end road refers to a road whose one end is not connected to other roads, and is also called a "broken link road." For example, the calculation unit 11 may identify a road whose one node does not match any node of any other road as the site extension. In this step S12, the calculation unit 11 may set a site extension flag for the identified road. That is, when the calculation unit 11 identifies a road for which a site extension flag is not set in the entire road network data 22 as the site extension, the calculation unit 11 may set a value indicating the site extension (for example, "1") to the site extension flag.

In step S13, the extraction unit 12 extracts buildings connected to the identified road (i.e., the target road). The buildings extracted here are examples of features corresponding to requirements (e.g., given development requirements). Specifically, the extraction unit 12 refers to the building data 23 in the database 20 and extracts buildings for which the target road (site extension) is set as the destination point. If multiple site extensions are identified, the extraction unit 12 extracts buildings for which the site extension is set as the destination point for each site extension. By referring to the building data 23, the extraction unit 12 can obtain detailed information about each building (e.g., name, construction date, age, etc.).

In step S14, the output unit 13 outputs information about the extracted buildings as a processing result. The output method is not limited. For example, the output unit 13 may display the processing result on a monitor, may transmit it to another computer or computer system, or may store it in a storage device such as a database. The method of expressing the processing result is also not limited. For example, the output unit 13 may express the processing result by an image (e.g., a map), text, or a combination of these. The output unit 13 may include any type of information about the extracted buildings in the processing result, and may output a processing result indicating, for example, the geographic location and age of each building.

Figure 5 is a diagram showing a specific example of processing flow S1. Figure 5 shows a map 300 representing a certain geographical range using vehicle road network data 21, and a map 310 representing that geographical range using full road network data 22. Map 300 shows roads 401 and 402, while map 310 shows roads 403 to 407 in addition to roads 401 and 402. The geographic information system 1 processes one of the vehicle road network data 21 and the full road network data 22 as a first road network, and processes the other as a second road network.

In this example, the calculation unit 11 calculates roads 403 to 407 as the difference between the vehicle road network and the entire road network (step S11).

Then, the calculation unit 11 identifies roads 403 to 406 out of roads 403 to 407 as the site extension (step S12). As shown in FIG. 5, one end of each of roads 403 to 406 is not connected to other roads, so the calculation unit 11 identifies these roads as the site extension. In contrast, both ends of road 407 are connected to other roads, so the calculation unit 11 does not identify road 407 as the site extension.

Then, the extraction unit 12 extracts buildings that connect to any of the roads 403 to 406 (step S13). Figure 5 shows 17 buildings (buildings A to Q). Buildings A and B connect to road 404. Buildings C, G, H, I, M, and Q connect to road 402. Buildings D, E, F, J, K, and L connect to road 406. Buildings N, O, and P connect to road 407. Therefore, the extraction unit 12 extracts buildings A, B, D, E, F, J, K, and L.

Then, the output unit 13 outputs information about the extracted eight buildings as a processing result (step S14). For example, the output unit 13 may highlight the buildings on a map as shown in FIG. 5. By looking at such a processing result, the user can grasp information about the buildings located on the flagpole lot.

With reference to FIG. 6, another example of the operation of the geographic information system 1 will be described, along with an analysis method according to this embodiment. FIG. 6 is a flowchart showing an example of the operation of the geographic information system 1 as process flow S2.

In step S21, the calculation unit 11 calculates the difference between the first road network and the second road network. This process is similar to step S11.

In step S22, the calculation unit 11 extracts roads whose width is less than a given threshold from the difference, and identifies the roads as narrow roads. In short, the calculation unit 11 extracts narrow roads from the difference. Narrow roads are an example of target roads. The calculation unit 11 refers to the entire road network data 22 to obtain the width of each road corresponding to the difference, and compares the width with the threshold. The threshold may be set according to any policy depending on the purpose of extracting buildings, and may be, for example, 2 m, 3 m, 4 m, etc.

In step S23, the extraction unit 12 extracts buildings that are connected to the identified road (i.e., the target road). Specifically, the extraction unit 12 refers to the building data 23 in the database 20 and extracts buildings for which the target road (narrow road) is set as the destination point. If multiple narrow roads are identified, the extraction unit 12 extracts, for each narrow road, buildings for which the narrow road is set as the destination point. As in step S13, the extraction unit 12 can obtain detailed information about each building.

In step S24, the output unit 13 outputs information about the extracted buildings as a processing result. This processing is the same as step S14.

Figure 7 is a diagram showing a specific example of processing flow S2. Like Figure 5, Figure 7 also shows maps 300 and 310. The geographic information system 1 processes one of the vehicular road network and the entire road network as a first road network, and processes the other as a second road network.

In this example, the calculation unit 11 also calculates roads 403 to 407 as the difference between the vehicle road network and the entire road network (step S21).

Then, the calculation unit 11 extracts roads from roads 403 to 407 whose widths are less than a given threshold from the difference (step S22). For example, assume that the widths of roads 403, 404, 405, 406, and 407 are 2.5 m, 1.8 m, 3 m, 4 m, and 5 m, respectively, and the threshold is 2 m. In this case, the calculation unit 11 extracts only road 404.

Next, the extraction unit 12 extracts buildings that are connected to one of the roads 404, i.e., buildings A and B (step S23).

Then, the output unit 13 outputs information about the two extracted buildings as the processing result (step S24). In FIG. 7, the output unit 13 highlights those buildings. By looking at such processing results, the user can grasp information about the buildings located on the narrow road.

[effect]
As described above, a computer system according to an aspect of the present disclosure includes a processor. The processor extracts features that meet a requirement based on data indicating the positions of roads corresponding to flagpole plots and data related to the features.

A program according to one aspect of the present disclosure causes a computer to execute a step of extracting features that meet requirements based on data indicating the position of a road corresponding to a flagpole lot and data related to the features.

In this respect, by using the flagpole lot position and feature data, it is possible to provide feature information that meets the requirements.

In another aspect of the computer system, the processor may extract buildings by referencing data indicating connections between buildings and roads. By referencing the connections, buildings along the roads indicated by the differences can be extracted with greater accuracy.

In another aspect of the computer system, the processor may extract roads whose one end is not connected to other roads as target roads from the roads indicated by the difference between the first road network and the second road network, and extract buildings along the target roads. By extracting such roads, buildings located on so-called flagpole lots can be extracted.

In another aspect of the computer system, the processor may extract roads whose widths are less than a given threshold as target roads from the roads indicated by the difference between the first road network and the second road network, and extract buildings along the target roads. By extracting such roads, buildings along narrow roads can be extracted.

In another aspect of the computer system, the processor may refer to data indicating the age of the building to determine the age of the extracted building. In this case, it becomes possible to provide the age of a building located at a particular location.

A computer system according to one aspect of the present disclosure includes a processor. The processor extracts buildings along roads that are indicated by the difference between the first road network and the second road network.

The roads indicated by the difference between the two types of road networks are presumed to have some characteristics. In the above aspect, it is possible to extract buildings along such characteristic roads, i.e. buildings located in specific locations. By using this method, even if the land information itself is not available, it is possible to estimate the characteristics of the land from the road network and extract buildings located on that land.

The data structure according to one aspect of the present disclosure is a data structure of road network data having information on links connecting multiple positions that characterize a road, and flag information indicating whether the link corresponding to the information corresponds to a site extension.

[Modification]
The present disclosure has been described in detail above based on the embodiments. However, the present disclosure is not limited to the above embodiments. The present disclosure can be modified in various ways without departing from the spirit and scope of the present disclosure.

In the above embodiment, the calculation unit 11 extracts a site extension (flagpole lot) or a narrow road as the target road, but the method of extracting the target road is not limited to this. For example, the calculation unit 11 may extract a dead-end road whose width is less than a given threshold (i.e., a road that has the characteristics of both a site extension and a narrow road) as the target road from the difference. Alternatively, the calculation unit 11 may extract a specific type of road as the target road from the difference.

In this disclosure, the expression "at least one processor executes a first process, executes a second process, ... executes an nth process" or a corresponding expression indicates a concept including cases where the entity executing the n processes from the first process to the nth process (i.e., the processor) changes midway. In other words, this expression indicates a concept including both cases where all n processes are executed by the same processor and cases where the processor changes among the n processes according to an arbitrary policy.

When comparing the magnitude of two numbers within a computer system, either of the two criteria "greater than or equal to" and "greater than" may be used, or either of the two criteria "less than or equal to" and "less than". The choice of criteria does not change the technical significance of the process of comparing the magnitude of two numbers.

The processing procedure of the method executed by at least one processor is not limited to the example in the above embodiment. For example, some of the steps (processing) described above may be omitted, or each step may be executed in a different order. In addition, any two or more of the steps described above may be combined, or some of the steps may be modified or deleted. Alternatively, other steps may be executed in addition to each of the steps described above.

The aspects described in all or part of the above embodiments solve any one of the following problems: appropriate extraction of buildings, improving processing speed, improving processing accuracy, improving usability, improving functions using data or providing appropriate functions, other improving functions or providing appropriate functions, reducing the capacity of data and/or programs, miniaturizing devices and/or systems, providing appropriate data, programs, recording media, devices and/or systems, and optimizing the production and manufacturing of data, programs, recording media, devices and/or systems, such as reducing the production and manufacturing costs of data, programs, devices or systems, facilitating production and manufacturing, and shortening production and manufacturing times.

1...Geographic information system, 11...Calculation unit, 12...Extraction unit, 13...Output unit, 20...Database, 21...Vehicle road network data, 22...Total road network data, 23...Building data, 120...Program, 200...Vehicle road network, 210...Total road network.

Claims (6)

a memory unit for storing first road network data, which is information relating to a road network, second road network data, which is information about roads including roads corresponding to flagpole lots not included in the first road network data, and building data, which is information about buildings including the connection relationships between the roads and buildings, all of which are contemporaneous data;
a comparison and extraction unit that extracts information about roads included in the flagpole lot by comparing the first road network data with the second road network data, and extracts information about buildings facing the extracted roads and meeting given requirements by referring to the building data, as information about land use or development;
an output unit that outputs the information extracted by the comparison and extraction unit;
A geographic information system comprising: The comparison and extraction unit extracts information about a road included in the flagpole lot and having a width less than a predetermined threshold.
The geographic information system of claim 1 . 1. A method for geographic information extraction performed by a geographic information system, comprising:
a comparison step of comparing first road network data, which is information on a road network, with second road network data, which is information on roads including roads corresponding to flagpole lots not included in the first road network, the first road network data being data from the same period;
a first extraction step of extracting information on a road included in the flagpole lot using a comparison result from the comparison step;
a second extraction step of extracting information on buildings that face the roads extracted in the first extraction step and that meet given requirements as information on land use or development, by referring to building data, which is information on buildings including connection relationships between the roads and buildings and is data from the same period as the first and second road network data;
A geographic information extraction method comprising: In the first extraction step, information on a road included in the flagpole lot and having a width less than a predetermined threshold is extracted.
The geographic information extraction method according to claim 3. On the computer,
a comparison step of comparing first road network data, which is information on a road network, with second road network data, which is information on roads including roads corresponding to flagpole plots not included in the first road network, the data being from the same period ;
a first extraction step of extracting information on a road included in the flagpole lot using a comparison result from the comparison step;
a second extraction step of extracting information on buildings facing the roads extracted in the first extraction step and corresponding to given requirements as information on land use or development, by referring to building data, which is information on buildings including connection relationships between the roads and buildings and is data from the same period as the first and second road network data;
A geographic information extraction program that executes the above. In the first extraction step, information on a road included in the flagpole lot and having a width less than a predetermined threshold is extracted.
6. The geographic information extraction program according to claim 5.

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