Statistical methods for geography

By Peter A. Rogerson. 2001

830 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/d9518b892e8bebbb461f04414d0d1376a527bfab

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Citations in the corpus

Extinction risk of North American seed plants elevated by climate and land‐use change (2017, methodology): “signal that a model had collinearity issues (Rogerson 2001).”
Populism as Identity Politics (2018, methodology): “In all models, multicollinearity was not a problem, with all Var- iance Inflation Factors 2.0 (Rogerson, 2001).”
Ingredients of Creativity: Originality and More (2017, background): “Variance inflation factors (VIF) indicated that none of the VIF values exceeded the recommended values of 10 (Hair, Anderson, Tatham, & Black, 1995; Marquardt, 1970; Neter, Wasserman, & Kutner, 1989) or 5 (Rogerson, 2001).”
The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom (2018, background): “For global spatial autocorrelation, Moran’s I represents a commonly applied approach to determining if the observed values of a variable are spatially associated (Moran, 1948; Rogerson, 2010).”
Factors influencing purchase intention towards environmentally friendly apparel: an empirical study of US consumers (2014, methodology): “A recommended maximum VIF value of five (Rogerson, 2001) was adopted as the criterion.”
Presence of Eriophorum scheuchzeri enhances substrate availability and methane emission in an Arctic wetland (2012, methodology): “The analyses performed were step-wise regressions where a low tolerance and a variance inflation factor (VIF) greater than 5 was used to indicate potential multicolinearity problems (Rogerson, 2001).”
An Empirical Comparison of Edge Effect Correction Methods Applied to K -function Analysis (2003, background): “Much literature has discussed edge effects in spatial data analysis and the importance of appropriate correction (Clark and Evans 1954; Ripley 1979; Getis 1983; Cressie 1991; Bailey and Gatrell 1995; Rogerson 2001, to name only a few).”
Can You Find It on the Web? An Assessment of Municipal E-Government Transparency (2017, background): “These values fall below conventional standards for the presence of multicollinearity, which Rogerson (2001) advised to be a value of five or more.”
Solidago canadensis impacts on native plant and pollinator communities in different-aged old fields (2015, methodology): “Before building LMMs, we tested all predictor variables for multicollinearity by calculating the variance inflation factor (VIF) using vif function of the fmsb package in R. VIF values were 2 in all cases, so no multicollinearity was detected in any of the performed models (Rogerson 2001).”
Climate change amplifies plant invasion hotspots in Nepal (2019, methodology): “Bioclimatic variables with high correlation (Pearson's correlation coefficients r > 0.70) were removed to reduce multicollinearity (Rogerson, 2001).”
Maximum Likelihood and Firth Logistic Regression of the Pedestrian Route Choice (2017, background): “Third, while collinearity becomes a critical issue if variance inflation factor (VIF ) is more than 5 (Rogerson 2001), when the original Distance variable was specified, its VIF and that for the nodes variable came to be 6.80 and 9.16, respectively.”