GitHub topics: spatiotemporal-data-analysis
google/bayesnf
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
Language: Python - Size: 14.3 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 122 - Forks: 13
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
Language: Python - Size: 975 KB - Last synced at: 11 days ago - Pushed at: 27 days ago - Stars: 322 - Forks: 33
UdayLab/PAMI
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
Language: Jupyter Notebook - Size: 168 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 260 - Forks: 196
songbi123/BSTVC
Spatiotemporal heterogeneous perspective for analyzing influencing factors, identifying key drivers, and making dynamic predictions, all within a unified 'full-map' framework.
Language: R - Size: 14.4 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0
PREP-NexT/locust-climate-DMD
The official repository for "Unveiling the Role of Climate in Spatially Synchronized Locust Outbreak Risks"
Language: Python - Size: 3.86 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2
r-a-dobson/dynamicSDM
An R package for species geographical distribution and abundance modelling at high spatiotemporal resolution
Language: R - Size: 28.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 2
AILAB-CEFET-RJ/stconvs2s
Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)
Language: Jupyter Notebook - Size: 340 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 65 - Forks: 24
yanganYNU/AFFGCN
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）
Language: Python - Size: 144 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 36 - Forks: 1
Rose-STL-Lab/AutoSTPP
Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inference of point process. It is capable of learning complicated underlying intensity functions, like a damped sine wave.
Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 24 - Forks: 2
pientist/soccercpd
[KDD 2022] Official implementation of "SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data".
Language: Jupyter Notebook - Size: 111 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 25 - Forks: 0
KJSloan2/EO
EO is an earth observation (EO) toolkit for land analysis. Focus areas include Landsat 8/9 raster data, 3DEP elevation data and USGS features.
Language: Python - Size: 78 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
brain-modelling-group/neural-flows
Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
Language: MATLAB - Size: 28.9 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 12
sumdher/trajectory_segmenter_movmedspd
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.
Language: Python - Size: 66.8 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
pientist/ballradar
[KDD 2023] Official implementation of "Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM".
Language: Jupyter Notebook - Size: 159 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 2
genema/STE
[AAAI] A spatiotemporal embedding framework for geographical entities
Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Ashish-Kondal/Preprocessing_for_AgroHydrological_Modeling
Preprocessing Scripts for VIC-CropSyst Modeling
Language: Python - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
jj11031/Movement-Ecology-Visualizations
Few graphs/plots and maps as outputs of movement ecology research (GPS telemetry)
Size: 22.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
syedmfuad/agri_grid_data
Harmonize heterogenous spatiotemporal gridded agriculture-related datasets. Part of a larger ongoing project to monitor land and water use by combining irrigation and gridded data via remote sensing data with machine learning.
Language: R - Size: 19.5 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
tabithaks/Capstone-GE-Asset-Tracking
Columbia University Data Science Master Capstone Project. The goal of this project was to cluster trajectories by shape for later optimization.
Language: Jupyter Notebook - Size: 8.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
Graph-Machine-Learning-Group/spin
Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
Language: Python - Size: 1.77 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 3
Graph-Machine-Learning-Group/grin
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
Language: Python - Size: 281 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 85 - Forks: 19
johannesuhl/shapefile2gif
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
Language: Python - Size: 7.51 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 33 - Forks: 6
EdgarACarneiro/stfX 📦
SpatioTemporal Features eXtractor: a tool for change detection on spatiotemporal phenomena
Language: Python - Size: 71.7 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
sigmafelix/mim-greenspace-pnw
Spatial disparity in tract-level associations between mental illness mortality and greenspace exposure in the Pacific Northwest
Language: R - Size: 26.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
sigmafelix/misu-unemployment-us
Spatiotemporal variability in the association between mental illness and substance use mortality and unemployment in the contiguous US
Language: R - Size: 18.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
papari1123/Research-of-Particulate-Matter-Prediction-Modeling-Based-on-Deep-Learning
This repository introduces Deep Particulate Matter Network with a Separated Input model based on deep learning by using ConvGRU, which can simultaneously analyze spatiotemporal information to consider the diffusion of particulate matter.
Language: Jupyter Notebook - Size: 66.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2
most-inesctec/stfX
SpatioTemporal Features eXtractor: a tool for change detection on spatiotemporal phenomena
Language: Python - Size: 71.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
