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Classification and assignment in soil science
Author(s) -
Gordon A.D.
Publication year - 1987
Publication title -
soil use and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 81
eISSN - 1475-2743
pISSN - 0266-0032
DOI - 10.1111/j.1475-2743.1987.tb00702.x
Subject(s) - cluster analysis , sample (material) , kernel (algebra) , variable (mathematics) , mathematics , representation (politics) , data mining , computer science , statistics , pattern recognition (psychology) , artificial intelligence , mathematical analysis , chemistry , chromatography , combinatorics , politics , political science , law
. The paper presents an introduction to automated methods of classification and assignment, with particular reference to their use in the analysis of soil data. Material covered includes: types of variable describing a soil sample; measures of dissimilarity; clustering criteria and algorithms; representation of data as points in a low‐dimensional space; assessment of classifications; incorporation into a classification of spatial relationships between soil samples; assignment of objects to the population with maximum posterior probability; assignment procedures for data described by variables of mixed type; kernel density estimation; assignment to spatially‐located populations.