A comparison between mixed support kriging and block cokriging for modelling and combining spatial data with different support

被引：13
|
作者：
Castrignano, A. [1 ]
Quarto, R. [2 ]
Venezia, A. [3 ]
Buttafuoco, G. [1 ]
机构：
[1] Natl Res Council Italy, Inst Agr & Forest Syst Mediterranean ISAFOM, Arcavacata Di Rende, CS, Italy
[2] Univ Bari Aldo Moro, Earth & Geoenvironm Sci Dept, Bari, Italy
[3] CREA Res Ctr Vegetable & Ornamental Crops, Pontecagnano, SA, Italy
来源：
PRECISION AGRICULTURE | 2019年 / 20卷 / 02期
关键词：
Precision agriculture; GEM300; Data fusion; Change of support; Field delineation; DATA FUSION; SOIL PROPERTIES;
D O I：
10.1007/s11119-018-09630-w
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
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 six operating frequencies. Mixed support kriging (MSK) 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 mixed support kriging approach was compared with traditional block cokriging (BCOK) through cross validation. Block cokriging compared to MSK was more computationally intensive to fit the multivariate model of spatial dependence, and in estimating ECa, mixed support kriging outperformed at some frequencies whereas BCOK was more accurate at others. The two approaches were also compared in terms of field-delineation which differed in spatial continuity.
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页码：193 / 213
页数：21
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