 The De Martonne aridity index in Calabria (Southern Italy)Gaetano Pellicone, Tommaso Caloiero and Ilaria Guagliardi Journal of Maps, 2019, vol. 15, issue 2, 788-796 Abstract: In this paper, the annual rainfall and temperature values, measured in the period 1951-2016 in a region of southern Italy (Calabria), have been spatially interpolated using deterministic and geostatistical techniques in an R environment. In particular, Inverse Distance Weighting (IDW), Ordinary Kriging (OK), Kriging with External Drift (KED) and Ordinary Cokriging (COK) were compared to evaluate the best suitability method in reproducing the actual surface. Then, the spatial variation of aridity in Calabria has been evaluated using the De Martonne aridity index (IDM), which is based on rainfall and temperature data. As a result, geostatistical methods incontrovertibly show a better estimate than the IDW. Specifically, the KED was identified as the best predictor method for both rainfall and temperature data. Moreover, the spatial distribution of the IDM evidenced that the majority of the study area can be classified as humid, with semi–arid conditions mainly identified in the coastal areas. Date: 2019 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:tjomxx:v:15:y:2019:i:2:p:788-796 Ordering information: This journal article can be ordered from DOI: 10.1080/17445647.2019.1673840 Access Statistics for this article Journal of Maps is currently edited by Dr Mike Smith, Dr Jeremy Porter and Dr Dick Berg More articles in Journal of Maps from Taylor & Francis Journals |
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