There are 15 repositories under spatial-data-analysis topic.
Documentation and samples for ArcGIS API for Python
Movement trajectory classes and functions built on top of GeoPandas
GeoDa: An introduction to spatial data analysis
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
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
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
A C++ library for physics-informed spatial and functional data analysis over complex domains.
A spatial omics data analysis tool that enables both unsupervised and supervised discovery of complex tissue cellular neighborhoods from cell phenotypes.
Source code for the paper "Towards Semantic-Aware Multiple-Aspect Trajectory Similarity Measuring"
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
Types and constructors for spatially referenced graphs.