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)
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-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
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
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.
A network-based model for spatiotemporal data analysis
Simple and effective tools for the analysis of movement data
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
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