tsl: a PyTorch library for processing spatiotemporal data.
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Updated
Jul 3, 2025 - Python
tsl: a PyTorch library for processing spatiotemporal data.
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
Given a shapefile with time-annotated vector objects (e.g., building footprints + construction year), this script will automatically create an animated GIF illustrating the dynamics for a user-specified period of time
The official repository for "Unveiling the Role of Climate in Spatially Synchronized Locust Outbreak Risks"
SpatioTemporal Features eXtractor: a tool for change detection on spatiotemporal phenomena
SpatioTemporal Features eXtractor: a tool for change detection on spatiotemporal phenomena
Extracts low speed segments from spatiotemporal trajectories using moving median of speed. Fast and robust. Adaptively determines the parameters from the data, instead of setting objective, arbitrary parameters. Each trajectory in a set of trajectories will have unique subjective parameters.
tsl: a PyTorch library for processing spatiotemporal data.
The FVCOM data was provided by Mark Rowe (NOAA, LEOFS). The FVCOM model used to generate the output is described in (Rowe et al., 2019).
Preprocessing Scripts for VIC-CropSyst Modeling
EO is an earth observation (EO) toolkit for land analysis. Focus areas include Landsat 8/9 raster data, 3DEP elevation data and USGS features.
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