Accurate classification of bioclimatic data: spatial analysis

Giuseppe Passarella, Emanuele Barca, Delia Bruno, Sabino Maggi, Rita Masciale, Aimé Lay-Ekuakille

Abstract

This paper presents a general methodology for processing bioclimatic data in the spatial domain whose main goal is to derive indications related to the moisture/dryness level of a region and provide water management authorities with information about its irrigation requirements. The methodology uses point-scale measurements of weather related data to perform a detailed analysis of the spatial behavior of the corresponding bioclimatic indicators at the continuous regional scale. The proposed methodology, although more demanding in terms of computation resources, gives more accurate results than standard approximate approaches available in current GIS packages. This methodology has been applied to a particular case study using the well known De Martonne index as a bioclimatic indicator.

Keywords

bioclimatic indices, time-series, kriging, spatial analysis

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IMEKO-TC19-2017-016.pdf

DOI

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IMEKO TC

TC19 - Environmental Measurements

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