The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Python.
Les fonctionnalités principales de geospatialpython/pyshp sont : Geospatial and GIS, Geospatial Data Tools, General Geospatial Utilities.
Les alternatives open-source à geospatialpython/pyshp incluent : cmla/s2p — S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from… earthlab/earthpy — EarthPy makes it easier to plot and manipulate spatial data in Python. osgeo/gdal — GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and… googlemaps/android-maps-utils — This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for… azavea/loam — A wrapper for running GDAL in the browser using gdal-js. corteva/rioxarray — rioxarray README.
EarthPy makes it easier to plot and manipulate spatial data in Python.
S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from images taken by high resolution optical satellites such as Pléiades, WorldView, QuickBird, Spot or Ikonos. It generates 3D point clouds and digital surface models from stereo…
GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil
This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com