Multivariate spatial outlier detection using robust geographically weighted methods

DOI10.1007/s11004-013-9491-0zbMath1322.86010OpenAlexW1980766166WikidataQ58225849 ScholiaQ58225849MaRDI QIDQ745726

Annemarie Clarke, Martin Charlton, Chris Brunsdon, Steve Juggins, Paul J. Harris

Publication date: 14 October 2015

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: http://eprints.maynoothuniversity.ie/5837/1/CB_Multivariate%20Spatial.pdf

zbMATH Keywords

Mahalanobis distancenon-stationarityprincipal components analysisanomaly detectionco-kriging cross-validationfreshwater acidification

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Geostatistics (86A32)

Related Items

A statistical analysis of noisy crowdsourced weather data, Geographically weighted Comedian method for spatial outlier detection, Unnamed Item, Analysis of a GPS network based on functional data analysis

Uses Software

• Gstat
• GSLIB
• gstat
• ROBPCA
• chemometrics

Cites Work

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