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A geostatistical approach for modelling and combining spatial data with different support

Published online by Cambridge University Press:  01 June 2017

A. Castrignanò ,
R. Quarto ,
A. Venezia  and
G. Buttafuoco
A. Castrignanò
Affiliation:
CREA – Research Unit for Cropping Systems in Dry Environments (SCA), Bari, Italy
R. Quarto
Affiliation:
Earth and Geoenvironmental Sciences department, University of Bari Aldo Moro, Italy
A. Venezia
Affiliation:
CREA – Centro di Ricerca per l’Orticoltura (ORT), Pontecagnano (SA), Italy
G. Buttafuoco*
Affiliation:
National Research Council of Italy – Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM), Rende (CS), Italy
*
†E-mail: gabriele.buttafuoco@cnr.it
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Abstract

The paper proposes a geostatistical framework to solve the issues of heterogeneous support for spatial estimation. Apparent soil electrical conductivity (ECa) was measured in a field cropped with San Marzano tomato using a multiple frequency electromagnetic profiler with 6 operating frequencies. Mixed support kriging was used to estimate ECa taking into account the change of support. The method includes punctual kriging with the error being the dispersion variance associated with each frequency. The individual ECa maps were weighted by the dispersion variance to obtain a map which was used for field partition in management zones.

Keywords

spatial datadata fusionchange of supportmixed support kriging
Type
Data analysis and Geostatistics
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 594 - 599
Copyright
© The Animal Consortium 2017 

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