Open AccessWEB application for the Analysis of Spatio‐Temporal Data
Author(s) -
Varewyck Machteld,
Verbeke Tobias
Publication year - 2020
Publication title -
efsa supporting publications
Language(s) - English
Resource type - Journals
ISSN - 2397-8325
DOI - 10.2903/sp.efsa.2020.en-1793
Subject(s) - computer science , bayesian probability , covariate , data mining , exploratory data analysis , analytics , model selection , upload , machine learning , artificial intelligence , operating system
In specific contract No 14 issued under the framework agreement OC/EFSA/AMU/2015/02, EFSA requested Open Analytics to update the existing software for analysing and visualizing spatio‐temporal data. In the exploratory analysis, local statistics (Moran's I and Geary's C) help to recognize potential clusters and hotspots. Smoothed predictions over space and time can be calculated and visualized using ordinary kriging. Logistic regression models allow to include spatial and temporal effects, spatio‐temporal interactions and potential covariates. These models are either Bayesian hierarchical models or generalized additive models and several modelstructures can be compared using model diagnostics. One of the new features includes automated stepwise variable selection for the fitted regression models. An interactive component guides the user in uploading data, performing an exploratory analysis and fitting spatio‐temporal models.