A user-friendly interface for spatial data analysis with R

BALZARINI, M.; CÓRDOBA, M.; PACCIORETTI, P.; GIANNINI KURINA, F.; BRUNO, C.

Budapest

Conferencia; European R Users Meeting; 2018

Information technologies that generate different types of data associated with spatial localization have been promoted in the last decades. The optimal use of georeferenced data depends on the capacities for efficiently and simply analyzing spatial variability. To facilitate the implementation of univariate and multivariate algorithms for spatial data, a "Spatial Statistics" module was developed in the statistical software InfoStat using R. The development merges the best of the ease-to-use menu-driven in InfoStat with the power of R and includes procedures for spatial data pre-processing and analytics. Autocorrelation indexes, correlation coefficients, semivariograms, interpolation, principal components and clustering for spatial data can be performed throughout a dashboard. In addition, we develop the FastMapping app to automate interpolation and mapping of spatial variability. FastMapping automates the selection of the best geostatistical model for kriging prediction by cross-validation. The application was developed using the Shiny R package, and it is compatible with different browsers. The use of both developments is illustrated by the implementation of a logical sequence of algorithms to obtain a multivariate spatial variability map from a database of five soil variables intensively recorded in an agricultural field under precision agriculture.