webXTREME: R-based web tool for calculating agroclimatic indices of extreme events

Tommy Klein, Argyrios Samourkasidis, I.N. Athanasiadis, Gianni Bellocchi, Pierluigi Calanca*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

We document the release of webXTREME, a new online tool for the evaluation of indices of climatic extremes (extreme temperatures and aridity) having impact on agricultural production. The tool is globally available and can be operated with either observed weather data or time series representing future climatic conditions. It is thus suitable for risk evaluation under climate change. webXTREME was implemented using Shiny, an open-source programming framework for creating web applications on the basis of the R Statistical Language.
Original languageEnglish
Pages (from-to)111-116
JournalComputers and Electronics in Agriculture
Volume136
DOIs
Publication statusPublished - 17 Mar 2017

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