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Spatial regression analysis using eigenvector spatial filtering

Detalles Bibliográficos
Autores principales: Griffith, Daniel, Chun, Yongwan, Li, Bin
Lenguaje:eng
Publicado: Elsevier Science & Technology 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2705059
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author Griffith, Daniel
Chun, Yongwan
Li, Bin
author_facet Griffith, Daniel
Chun, Yongwan
Li, Bin
author_sort Griffith, Daniel
collection CERN
id cern-2705059
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Elsevier Science & Technology
record_format invenio
spelling cern-27050592021-04-21T18:13:03Zhttp://cds.cern.ch/record/2705059engGriffith, DanielChun, YongwanLi, BinSpatial regression analysis using eigenvector spatial filteringMathematical Physics and MathematicsElsevier Science & Technologyoai:cds.cern.ch:27050592019
spellingShingle Mathematical Physics and Mathematics
Griffith, Daniel
Chun, Yongwan
Li, Bin
Spatial regression analysis using eigenvector spatial filtering
title Spatial regression analysis using eigenvector spatial filtering
title_full Spatial regression analysis using eigenvector spatial filtering
title_fullStr Spatial regression analysis using eigenvector spatial filtering
title_full_unstemmed Spatial regression analysis using eigenvector spatial filtering
title_short Spatial regression analysis using eigenvector spatial filtering
title_sort spatial regression analysis using eigenvector spatial filtering
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2705059
work_keys_str_mv AT griffithdaniel spatialregressionanalysisusingeigenvectorspatialfiltering
AT chunyongwan spatialregressionanalysisusingeigenvectorspatialfiltering
AT libin spatialregressionanalysisusingeigenvectorspatialfiltering