Space-time volume instances for platform diving classification

The Matlab code here is an attempt to model a 3D graph for the paper "Selecting Spatio-temporal patterns by substrate injection in a reaction-diffusion system "

KDD Aplicado à Análise Espaço Temporal da Leishmaniose Visceral no Estado do Pará entre os Anos de 2007 e 2019

An optimised implementation of the tau statistic (relative prevalence ratio form), originally from R's IDSpatialStats package.

Tool to visualize spatiotemporal time series in 3d (VR)

Urban Computing 2021 Research Project @ Leiden University

Analysing Time series and spatiotemporal data

This repository includes the codes used for the study: "Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: the role of socioeconomic status, environment and temperature", by Laís P Freitas, Alexandra Schmidt, William Cossich, Oswaldo G. Cruz and Marilia S. Carvalho.

Spatio-temporal hotspot analysis of traffic accidents in Saudi Arabia. The analysis is conducted using Python PySAL library on traffic accidents data from the years 2015 to 2018. The results are presented using Plotly library.

experimental application for spatiotemporal exploration of historical data

Code accompanying our SIGSPATIAL paper: "CP-ORTHO: an orthogonal tensor factorization framework for spatio-temporal data"

RHINO provides a layer for data cubes allowing to switch between coverage-based and object-based views.

Spatial compression of multivariate datasets for xarray

A simple approach to earthquake forecasting

Detecting deforestation in the Brazilian Amazon by using NDVI and Woodiness index

UrbanChameleon.eu is an online platform to disseminate contemporary graffiti found along Vienna's Danube channel (Austria). Built with TypeScript, Next.js, and Cesium Technology, the platform relies on OpenAtlas and its CIDOC CRM ontology to provide a user-friendly interface for visualising, exploring and searching graffiti and their metadata.

A Matlab pipeline for spatiotemporal quantification of monolayer cell migration. The repository includes Matlab source code. This repository is part of the book series "Neubias Bioimage Analysis". The analysis pipeline includes segmentation, velocity measurements, kymographs and multi-dimensional representations and PCA of wound healing assays.

A Comprehensive Study of Rice Production and Price in Bangladesh: Geospatial Visualization and Predictive Modeling Techniques.

R package for statistical and spatiotemporal modeling of epidemiological data for vector-borne diseases in Colombia

SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow