…vices.
This PR makes the following changes
*closes issue #33
Real world example: finding nearby points of interest (POIs) for location-based services.
description
This pull request introduces a code example that shows the application of the R-tree library to solve a real-world challenge: finding nearby points of interest (POIs) for location-based services. The example demonstrates how the R-tree data structure efficiently organizes and queries geospatial data, which is vital for applications such as navigation, mapping, and location-based recommendations.
Key Components
Sample Data: The code example defines a custom data structure, poi, to represent points of interest. Each poi object includes attributes like name, latitude, and longitude, which are typical of geospatial data.
Integration with R-tree Library: The code demonstrates the seamless integration of the OCaml R-tree library. The library's functionalities, including creating an R-tree, inserting data, and performing spatial queries, are used in the example.
Data Insertion: The code inserts a list of sample POIs into the R-tree. This operation organizes the POIs spatially within the tree structure, which is essential for efficient spatial queries.
Spatial Query: To illustrate the R-tree's capabilities, the code performs a spatial query to find nearby POIs within a specified radius of a given location. The R-tree's range query functionality is employed, optimizing the process of identifying relevant points of interest.
…vices. This PR makes the following changes *closes issue #33
Real world example: finding nearby points of interest (POIs) for location-based services.
description This pull request introduces a code example that shows the application of the R-tree library to solve a real-world challenge: finding nearby points of interest (POIs) for location-based services. The example demonstrates how the R-tree data structure efficiently organizes and queries geospatial data, which is vital for applications such as navigation, mapping, and location-based recommendations.
Key Components
Sample Data: The code example defines a custom data structure, poi, to represent points of interest. Each poi object includes attributes like name, latitude, and longitude, which are typical of geospatial data.
Integration with R-tree Library: The code demonstrates the seamless integration of the OCaml R-tree library. The library's functionalities, including creating an R-tree, inserting data, and performing spatial queries, are used in the example.
Data Insertion: The code inserts a list of sample POIs into the R-tree. This operation organizes the POIs spatially within the tree structure, which is essential for efficient spatial queries.
Spatial Query: To illustrate the R-tree's capabilities, the code performs a spatial query to find nearby POIs within a specified radius of a given location. The R-tree's range query functionality is employed, optimizing the process of identifying relevant points of interest.