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Analysis of space–time variability in agriculture and the environment with geostatistics
Author(s) -
Stein A.
Publication year - 1998
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/1467-9574.00066
Subject(s) - geostatistics , variogram , statistics , spatial analysis , kriging , econometrics , mathematics , restricted maximum likelihood , spatial dependence , spatial variability , computer science , data mining , maximum likelihood
This paper gives an overview of space–time variability in agriculture and the environment. Analysis is based upon geostatistics in the framework of linear regression theory. Common procedures for spatial data are extended towards the space–time domain. Several practical studies are presented. The first study describes the use of REML to estimate semi‐variogram models within the presence of trends. The second study describes the use of probability maps in an environmental statistical study. The third study describes the use of geostatistics in modelling the development of a disease in cabbage. Studies are evaluated using quadratic scoring rules.