Cargando…
Testing Pairwise Association between Spatially Autocorrelated Variables: A New Approach Using Surrogate Lattice Data
BACKGROUND: Independence between observations is a standard prerequisite of traditional statistical tests of association. This condition is, however, violated when autocorrelation is present within the data. In the case of variables that are regularly sampled in space (i.e. lattice data or images),...
Autores principales: | Deblauwe, Vincent, Kennel, Pol, Couteron, Pierre |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492436/ https://www.ncbi.nlm.nih.gov/pubmed/23144961 http://dx.doi.org/10.1371/journal.pone.0048766 |
Ejemplares similares
-
spind: an R Package to Account for Spatial Autocorrelation in the Analysis of Lattice Data
por: Carl, Gudrun, et al.
Publicado: (2018) -
New Approaches for Calculating Moran’s Index of Spatial Autocorrelation
por: Chen, Yanguang
Publicado: (2013) -
Spatial Autocorrelation Approaches to Testing Residuals from Least Squares Regression
por: Chen, Yanguang
Publicado: (2016) -
Spatial Autocorrelation of COVID-19 in Slovakia
por: Vilinová, Katarína, et al.
Publicado: (2023) -
Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data
por: Wen, Huiying, et al.
Publicado: (2019)