Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Exploratory GIS Analysis via Spatially Weighted Regression Trees
Carmela Iorio, Giuseppe Pandolfo, Michele Staiano, Roberta Siciliano

Last modified: 2018-05-31


The challenging goal of the MAGIC project is to quantitatively enlighten the nexus among energy, food, water and land use toward informed governance in- side EU aimed at long term environmental feasibility, economic viability and social desirability. Within the framework of recursive partitioning algorithms by tree-based methods, this paper provides an application on a real GIS dataset regarding the ir- rigation communities in Almeria, Spain. We propose to build an explorative regres- sion tree – spatially weighted – aiming at classifying the specific consumption of water (per hectare) of the farming communities based on either water management areas and different mix of sources for irrigation water (surface, groundwater, waste water, desalination). [This work is supported by the UE funded H2020 MAGIC project – G.A. n. 6896669]


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