(Q58166832)

English

Accounting for Spatial Autocorrelation in Linear Regression Models Using Spatial Filtering with Eigenvectors

scholarly article by Jonathan B. Thayn & Joseph M. Simanis published January 2013 in Annals of the American Association of Geographers

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Accounting for Spatial Autocorrelation in Linear Regression Models Using Spatial Filtering with Eigenvectors (English)

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Jonathan B. Thayn

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Joseph M. Simanis

series ordinal

2

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publication date

January 2013

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published in

Annals of the American Association of Geographers

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volume

103

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issue

1

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page(s)

47-66

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cites work

Assessing the significance of the correlation between two spatial processes

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https://api.crossref.org/works/10.1080%2F00045608.2012.685048

retrieved

21 January 2018

Spatial analysis improves species distribution modelling during range expansion

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21 January 2018

Effects of incorporating spatial autocorrelation into the analysis of species distribution data

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21 January 2018

Methods to account for spatial autocorrelation in the analysis of species distributional data: a review

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https://api.crossref.org/works/10.1080%2F00045608.2012.685048

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21 January 2018

Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)

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21 January 2018

The geography of hospital admission in a national health service with patient choice.

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21 January 2018

Human activities alter biogeographical patterns of reptiles on Mediterranean islands

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21 January 2018

Reproducible research: a bioinformatics case study

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21 January 2018

Modeling Network Autocorrelation in Space–Time Migration Flow Data: An Eigenvector Spatial Filtering Approach

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21 January 2018

Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses.

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21 January 2018

Hydrological modeling of geophysical parameters of arboviral and protozoan disease vectors in Internally Displaced People camps in Gulu, Uganda

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21 January 2018

Tests for comparing elements of a correlation matrix

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21 January 2018

Sensitivity analyses for ecological regression

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21 January 2018

MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION*

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21 January 2018

Detecting negative spatial autocorrelation in georeferenced random variables

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21 January 2018

Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data

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21 January 2018

Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach

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reference URL

https://api.crossref.org/works/10.1080%2F00045608.2012.685048

retrieved

21 January 2018

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10.1080/00045608.2012.685048

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(Q58166832)

Accounting for Spatial Autocorrelation in Linear Regression Models Using Spatial Filtering with Eigenvectors

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