PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

tsl: a PyTorch library for processing spatiotemporal data.

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

OpenStreetMap History Data Analysis Framework

Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.

GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) R-Shiny implementation.

Simple and effective tools for the analysis of movement data

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

ST-OPTICS: Spatio-temporal clustering based on OPTICS

A network-based model for spatiotemporal data analysis

A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)

windR is a R package to connect animal tracking data with wind data (or sea current data) and allows to visualize animal movements within the flow of the medium that they moved in.