OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
-
Updated
Dec 24, 2024 - Python
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Long list of geospatial tools and resources
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Specification for streaming massive heterogeneous 3D geospatial datasets 🌎
Documentation and samples for ArcGIS API for Python
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Easy access to official spatial data sets of Brazil in R and Python
Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial operations on the data like searching for data within specified regions or within a specified distance of a point of interest.
Google Earth Engine for R
Create custom vector tiles from OpenStreetMap and other data sources with Postgis and Java.
A package built to support working with spatial data using open source python
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
geoBoundaries : A Political Administrative Boundaries Dataset (www.geoboundaries.org)
Calculate the polygon's centerline
Core components of Python Spatial Analysis Library
Spatial data processing for geomodeling
Spatial alignment of single cell transcriptomic data.
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Geo Assist is a spatial library to manage spatial data in-memory.
Add a description, image, and links to the spatial-data topic page so that developers can more easily learn about it.
To associate your repository with the spatial-data topic, visit your repo's landing page and select "manage topics."