kzfs — Multi-Scale Motions Separation with Periodogram

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)

Learning Spatio-Temporal Statistics with R book using the STRbook package.

Exploring mobility patterns in US cities

Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

A reproduced research on HIV/AIDS mortality in order to investigate how the model covariates poverty, income inequality and spatiotemporal effects influence the model fit.

Simulation of the emergence of hierarchical and enduring settlement patterns during the Middle Ages

Trajectory prediction by Bayesian learning of spatiotemporal velocity fields and hybrid Kalman filter

Files for analysing spatio-temporal plant species presence trends using approximate Bayesian inference with integrated nested Laplace approximations for presence-only data

Predicting NFL play yardage from autoencoded player tracking data (2019)

A general framework for learning spatio-temporal point processes via reinforcement learning

Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).

[ICDE'21] Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks

[AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

ST-OPTICS: Spatio-temporal clustering based on OPTICS

Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet

Modeling and visualizing hydrologic observations indexed in space and time. This work is heavily indebted to the piece from Wikle, Zammit-Mangion, and Cressie (2019) who are blazing the path to the summit for spatio-temporal statistics

[CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".