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

A Temporal Extension Library for PyTorch Geometric

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

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

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

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

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

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

Sample JavaScript Aggregation Viewer using aggregation (lod) queries and rendering aggregation bins client side

Sample JavaScript Aggregation Viewer using Map Service queries with an Aggregation Renderer and rendering images server side

Spatio-temporal point patterns on linear networks

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.

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

A network-based model for spatiotemporal data analysis

Spark extension for normal spatio-temporal data

ST-OPTICS: Spatio-temporal clustering based on OPTICS

Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour

Paez, A., López, F., Menezes, T., Cavalcanti, R., Pitta M.G.R., 2020. A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain, Geographical Analysis (Early View)

The project deals on how to perform Spatio-temporal hot-spot analysis using Apache Spark.

Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)

A simple approach to earthquake forecasting

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.

Simple and effective tools for the analysis of movement data

A re-implementation of cs > arXiv:1807.01653v1

Code accompanying our SIGSPATIAL paper: "CP-ORTHO: an orthogonal tensor factorization framework for spatio-temporal data"

"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018

Spatio-temporal visualization of massive web map logs (DataBase, BackEnd & FrontEnd), revised from https://github.com/unchartedsoftware/aperture-tiles.

Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7

Applied spatial statistics to spatio-temporal big data to identify statistically significant spatial hot spots on a 4-node cluster. (Java, Hadoop Distributed File System (HDFS), Apache Spark)