There are 16 repositories under spatial-data-analysis topic.
Documentation and samples for ArcGIS API for Python
Movement trajectory classes and functions built on top of GeoPandas
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
GeoDa: An introduction to spatial data analysis
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
CARTO Python package for data scientists
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
Python tools for spatial trajectory and time-series data analysis
Computational tools for urban analysis
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
Open Educational Resource for teaching spatial data analysis and statistics with R
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
CRAN Task View: Analysis of Spatial Data
An R package to perform spatial analysis on networks.
Collection of computational tools for cell-cell communication inference for single-cell and spatially resolved omics
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
A C++ library for physics-informed spatial and functional data analysis over complex domains.
Source code for the paper "Towards Semantic-Aware Multiple-Aspect Trajectory Similarity Measuring"
A spatial omics data analysis tool that enables both unsupervised and supervised discovery of complex tissue cellular neighborhoods from cell phenotypes.
HistoJS: Web-Based Analytical Tool for Multiplexed Images. Limited Github Online Demo 👇
SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow
Process case studies on DEM uncertainty analysis at the Mont-Blanc massif and Northern Patagonian Icefield: Hugonnet et al. (2022).
Helsinki City Bike system analysis.
💾 An R package for easy hydroclimatic calculations