TY - JOUR
T1 - webXTREME: R-based web tool for calculating agroclimatic indices of extreme events
AU - Klein, Tommy
AU - Samourkasidis, Argyrios
AU - Athanasiadis, I.N.
AU - Bellocchi, Gianni
AU - Calanca, Pierluigi
PY - 2017/3/17
Y1 - 2017/3/17
N2 - 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.
AB - 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.
KW - Agricultural production
KW - Agroclimatic indices
KW - Extreme weather events
KW - R Statistical Language and Shiny
KW - Web tool
U2 - 10.1016/j.compag.2017.03.002
DO - 10.1016/j.compag.2017.03.002
M3 - Article
SN - 0168-1699
VL - 136
SP - 111
EP - 116
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
ER -