Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis
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Updated
Apr 6, 2026 - Jupyter Notebook
Exploratory spatiotemporal data analysis and Geospatial distribution dynamics analysis
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning
A precision tracking tool for bacillus cell tracking
STEHealth is a shiny application for analyzing space-time patterns, cluster detection, and association with risk factors of health outcomes.
Unexpected demographic factors determine the availability of scooter-share vehicles.
Advanced spatial-temporal data analysis and indexing optimization on 1.7M+ taxi trajectories using PostgreSQL and PostGIS.
The Core infrastructure micro-service of the SpatioTemporal Features eXtractor (stfX)
A precision tracking tool for bacillus cell tracking
A spatiotemporal forecasting framework for disease outbreaks using a hybrid DBSAN & Random Forest
[ECE NTUA] Computer Vision - Course projects (2021-2022)
activity-spaces: Code, workflows, and examples for incorporating human activity spaces into spatial epidemiology — including GPS logger studies, Earth Observation data, and movement analysis.
Reading the Room pairs NVIDIA Cosmos Reason 2 with human-intent cues so robots “read the room” in hallways and dense crowds. Complete with deterministic seeds, pre-baked labels, and a replayable web viewer.
Analyze and optimize complex spatial-temporal taxi trajectory data using PostgreSQL, PostGIS, and Python for efficient database querying and indexing.
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