Spatial+: A novel approach to spatial confounding
Spatial+: A novel approach to spatial confounding
About this item
Full title
Author / Creator
Publisher
United States: Blackwell Publishing Ltd
Journal title
Language
English
Formats
Publication information
Publisher
United States: Blackwell Publishing Ltd
Subjects
More information
Scope and Contents
Contents
In spatial regression models, collinearity between covariates and spatial effects can lead to significant bias in effect estimates. This problem, known as spatial confounding, is encountered modeling forestry data to assess the effect of temperature on tree health. Reliable inference is difficult as results depend on whether or not spatial effects...
Alternative Titles
Full title
Spatial+: A novel approach to spatial confounding
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10084199
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10084199
Other Identifiers
ISSN
0006-341X
E-ISSN
1541-0420
DOI
10.1111/biom.13656
