Spatial analysis of compositional data: A historical review

Pawlowsky-Glahn, Vera; Egozcue, Juan José

Spatial analysis of compositional data: A historical review

dc.contributor.author

Pawlowsky-Glahn, Vera

Egozcue, Juan José

dc.date.accessioned

2016-05-02T10:40:33Z

dc.date.available

2016-05-02T10:40:33Z

dc.date.issued

2016-05-01

dc.identifier.issn

0375-6742

dc.identifier.uri

http://hdl.handle.net/10256/12363

dc.description.abstract

Like the statistical analysis of compositional data in general, spatial analysis of compositional data requires specific tools. A historical overview of their development is presented in three steps: (a) the recognition of the problem, known as spurious spatial covariance, (b) first attempts to use the logratio approach, and (c) the application of the principle of working in coordinates using isometric logratio representations. Also mentioned are the use of matrix-valued variation-variograms as a tool to model crossvariograms, and the simplicial approach to indicator kriging, that solves inconsistencies in the standard approach to indicator kriging

dc.description.sponsorship

This research has been supported by the SpanishMinistry of Education and Science under project ‘METRICS’ (Ref. MTM2012-33236); and from the Agència de Gestió d'Ajuts Universitaris i de Recerca of the Generalitat de Catalunya under the project Ref. 2009SGR424

dc.format.mimetype

application/pdf

dc.language.iso

eng

dc.publisher

Elsevier

dc.relation

info:eu-repo/grantAgreement/MINECO//MTM2012-33236/ES/METODOS ESTADISTICOS EN ESPACIOS RESTRINGIDOS/

AGAUR/2009-2014/2009 SGR 424

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Versió preprint del document publicat a: http://dx.doi.org/10.1016/j.gexplo.2015.12.010

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