Premium
The indicator approach to categorical soil data
Author(s) -
BIERKENS M. F. P.,
BURROUGH P. A.
Publication year - 1993
Publication title -
journal of soil science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.244
H-Index - 111
eISSN - 1365-2389
pISSN - 0022-4588
DOI - 10.1111/j.1365-2389.1993.tb00459.x
Subject(s) - categorical variable , table (database) , kriging , series (stratigraphy) , set (abstract data type) , water table , data set , measure (data warehouse) , statistics , data mining , computer science , mathematics , geology , groundwater , geotechnical engineering , paleontology , programming language
SUMMARY This second paper in the series presents a case study on the mapping of water table classes using indicator kriging. In particular, the behavior and performance of the method is investigated. The method performs well when validated on an independent data set and appears robust with regard to the number of observations. Sequential indicator simulation is used to generate equi‐probable maps of water table classes, which are then used in a land use suitability analysis for pasture. A measure for the errors in this analysis that arise from impurities in the map of water table classes is obtained.