There are 8 repositories under spatio-temporal-analysis topic.
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.
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
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.
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
Simple and effective tools for the analysis of movement data
A network-based model for spatiotemporal data analysis
A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
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.
A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed
Sample JavaScript Aggregation Viewer using Map Service queries with an Aggregation Renderer and rendering images server side
Sample JavaScript Aggregation Viewer using aggregation (lod) queries and rendering aggregation bins client side
R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia
Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour
Paez, Antonio, et al. "A spatio‐temporal analysis of the environmental correlates of COVID‐19 incidence in Spain." Geographical Analysis 53.3 (2021): 397-421.
CRAN Task View: Handling and Analyzing Spatio-Temporal Data
A simple approach to earthquake forecasting
"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7
UrbanChameleon.eu is an online platform to disseminate contemporary graffiti found along Vienna's Danube channel (Austria). Built with TypeScript, Next.js, and Cesium Technology, the platform relies on OpenAtlas and its CIDOC CRM ontology to provide a user-friendly interface for visualising, exploring and searching graffiti and their metadata.