spatial-data

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

geoBoundaries : A Political Administrative Boundaries Dataset (www.geoboundaries.org)

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

Spatial alignment of single cell transcriptomic data.

Calculate the polygon's centerline

Spatial data processing for geomodeling

Core components of Python Spatial Analysis Library

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

Spatial data in R: using R as a GIS

Geo Assist is a spatial library to manage spatial data in-memory.