The project deals on how to perform Spatio-temporal hot-spot analysis using Apache Spark.
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Updated
Jul 11, 2017 - Java
The project deals on how to perform Spatio-temporal hot-spot analysis using Apache Spark.
Code accompanying our SIGSPATIAL paper: "CP-ORTHO: an orthogonal tensor factorization framework for spatio-temporal data"
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
Tool to visualize spatiotemporal time series in 3d (VR)
RHINO provides a layer for data cubes allowing to switch between coverage-based and object-based views.
Custom ArcGIS toolbox for spatio-temporal cluster detection.
Spatio temporal laser metrology
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
Spatio-temporal visualization of massive web map logs (DataBase, BackEnd & FrontEnd), revised from https://github.com/unchartedsoftware/aperture-tiles.
Spatial compression of multivariate datasets for xarray
Sample JavaScript Aggregation Viewer using aggregation (lod) queries and rendering aggregation bins client side
Video Query System
A re-implementation of cs > arXiv:1807.01653v1
An optimised implementation of the tau statistic (relative prevalence ratio form), originally from R's IDSpatialStats package.
Space-time volume instances for platform diving classification
windR is a R package to connect animal tracking data with wind data (or sea current data) and allows to visualize animal movements within the flow of the medium that they moved in.
A simple approach to earthquake forecasting
Paez, Antonio, et al. "A spatio‐temporal analysis of the environmental correlates of COVID‐19 incidence in Spain." Geographical Analysis 53.3 (2021): 397-421.
This project is the final assignment in the course Analysis of Spatial Temporal Data given during the winter semester at the Institute of Geoinformatics, Muenster.
The assignment displays time series analysis, spatial models, interpolation and spatiotemporal models. This assignment was given on November 2019, during the Analysis of Spatio-Temporal Data course at the Institute for Geoinformatics.
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