There are 8 repositories under spatio-temporal-data topic.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
Data visualization examples and tutorials from scratch. 数据可视化示例代码集与新手学习教程。
tsl: a PyTorch library for processing spatiotemporal data.
Traffic data processing tools in LibCity
A collection of research on spatio-temporal data mining
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
A Python package for simple STAC queries
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Simple and effective tools for the analysis of movement data
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
This is the repository for the R package bmstdr.
multi-step ahead forecasting of spatio-temporal data
Human mobility data (in form of <x,y,t>) analysis and visualization in R.
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
Crowd flow prediction model
This project evaluates ride-sharing algorithms on spatio-temporal data. The data in this case represents nearly 700 million trips in New York City.
Framework to build linked spatio-temporal data from vectorized evolutionary topographic map archives
Apache Spark utilities to analyze mobile network deployment and user behavior data.
CRAN Task View: Handling and Analyzing Spatio-Temporal Data
Role of Temporal Diversity in Inferring Social Ties Based on Spatio-Temporal Data
Collective Movement Explorer - Explore and Analyse Collective Animal Behaviour
Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior (EuroVis2020)
This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" accepted at the 2nd ACM CONEXT GNNet 2023 Workshop.