spatio-temporal

usnewsmap.com searches 23 million pages of historical American newspapers and maps every match by where and when it was printed. Play the timeline to watch a word, a name or a story spread across the country.

Fast, distribution-free Spatial & Spatio-Temporal Conformal Prediction in R (CRAN). Model-agnostic uncertainty quantification for geostatistical points, areal lattices, and space-time fields.

Thailand flood & water levels: 1,000+ canal and river gauges vs the bank, backtested 12–48 h forecasts · ระดับน้ำคลองและแม่น้ำทั่วไทย — flood.autobahn.bot

Qualitative Reasoning: Spatio-Temporal Reasoning using Relation Algebras and Constraint Networks. Documentation is under construction at ReadTheDocs. See link below.

A registry for City3D STAC catalog

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

Official PyTorch implementation of "Depthtective: A Depth-Aware Framework for Spatio-Temporal Deepfake Detection" (Array, 2026). Detects manipulated videos from the RGB and depth residuals of just two adjacent frames.

R package and reproducible analysis for stRF, a spatio-temporal random forest with adaptive local features (coordinates, distance fields, multi scale spatial lags, temporal features) for marine species distribution modelling under data limitation. Includes the simulation benchmark, Shapley decomposition, sdmTMB comparison and a seagrass case study.

DuckDB extension for reading data from SpatioTemporal Asset Catalogs (STAC) using SQL

Traffic forecasting for road sensor networks: a node-level spatio-temporal Transformer (V19) with a reproducible METR-LA / PEMS-BAY benchmark, CLI and Colab notebook.

Graph Attention Network for spatio-temporal prediction. Phase 1: atmospheric transport (complete). Phase 3: financial fraud (planned).

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

A Julia package for la pluie et le beau temps

AI-driven spatio-temporal tracking and risk visualization of extreme weather anomalies using GNN-based trajectory prediction, extreme-aware downscaling, and real-time alerts.

SECONDO is a generic database kernel that can be filled with implementations of different data models.

Overview: deep learning for district sequencing and demand forecasting in last-mile delivery (code private)

Code for "Enhancing origin–destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution" (Expert Systems with Applications 2025)

Code for "Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information" (Neural Networks 2025)

Code for "Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction" (CIKM 2023)

Code of "Exploiting dynamic spatio-temporal correlations for origin-destination demand prediction"