v0.0.1.2

greenR 0.0.1.2

• Modified get_osm_data() function to accept coordinates for bounding box
• Updated accessibility_greenspace() function to export data as geopackage
• Improved documentation and error handling

Version 0.0.1.1

This update brings significant new features, enhancements, and optimizations to improve your experience with spatial data analysis and visualization.

New Features

3D Hexagon Map Visualization

The new create_hexmap_3D function allows you to create stunning 3D hexagon maps using H3 and Mapbox GL JS. This function can visualize various geographical data types, including points, linestrings, polygons, and multipolygons. Key features include:

• Dynamic radius and height adjustment for hexagons.
• Support for multiple Mapbox layers.
• Interactive visualizations to explore density or green indices over an area.

3D Linestring Map Visualization

The create_linestring_3D function offers interactive 3D visualization of linestring data with an associated green index. Features include:

• Adjustable line width.
• Toggle for displaying 3D buildings.
• Interactive popups showing green index values.

Dynamic Accessibility Map

The accessibility_mapbox function generates accessibility maps that display green areas and allow users to generate isochrones for walking times interactively. Key features include:

• Interactive isochrone generation based on walking times.
• Visualization of green spaces and walking accessibility.

Performance Improvements

DuckDB Integration

I've integrated DuckDB to enhance the performance of spatial operations within the package. DuckDB is a high-performance SQL database management system optimized for analytical queries. This integration allows for faster and more efficient spatial data processing, enabling you to handle larger datasets with ease.

v0.0.1.0

The new version includes updates to the existing functions. In addition, following new functions have been added to the package to add more functionalities:

• visualize_green_spaces() : To visualize on leaflet all the green space data that is retrieved from OSM. While it allows easy visualization, it allows supports understanding of how well the cities are mapped and the cities that need more correct mapping.
• accessibility_greenspace(): To perfom accessibility analysis from any given point in the city to nearest green spaces. This function creates isochrones to show the the green spaces that can be reached within 5 minutes (default) walking distance from any given location.
• calculate_and_visualize_GVI(): Calculates and visualizes the Green View Index from images, providing a metric for urban greenery analysis.