There are 2 repositories under spatio-temporal-analysis topic.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
OpenStreetMap History Data Analysis Framework
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
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
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
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.
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
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.
ST-OPTICS: Spatio-temporal clustering based on OPTICS
A network-based model for spatiotemporal data analysis
Simple and effective tools for the analysis of movement data
Spatio-temporal point patterns on linear networks
An R package to detect collective spatio-temporal phenomena
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
Spark extension for normal spatio-temporal data
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)
Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour
Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)
"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
A simple approach to earthquake forecasting
Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7
The project deals on how to perform Spatio-temporal hot-spot analysis using Apache Spark.
A re-implementation of cs > arXiv:1807.01653v1
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)
Code accompanying our SIGSPATIAL paper: "CP-ORTHO: an orthogonal tensor factorization framework for spatio-temporal data"
Review, implementation, and comparison of several spatio-temporal forecasting approaches in a use case of wind power generation in Germany. We consider statistical, machine learning, and hybrid methods.
Spatio-temporal visualization of massive web map logs (DataBase, BackEnd & FrontEnd), revised from https://github.com/unchartedsoftware/aperture-tiles.
Analyzing Pace-of-Play in Soccer using Spatio-Temporal Event Data
Exploratory spatio-temporal analysis of Twitter Stream