Geographical Analysis

Journal

TitleGeographical Analysis
ISSN1538-4632
PublisherWiley
Web address (URL)https://onlinelibrary.wiley.com/page/journal/15384632/homepage/productinformation.html

Outputs

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A Rejoinder to the Commentaries on “A Route Map for Successful Applications of Geographically Weighted Regression” by Comber et al. (2022)

A - Papers appearing in refereed journals
Comber, A., Harris, P. and Brunsdon, C. 2022. A Rejoinder to the Commentaries on “A Route Map for Successful Applications of Geographically Weighted Regression” by Comber et al. (2022). Geographical Analysis . https://doi.org/10.1111/gean.12352

A Template for a New Generic Geographically Weighted R Package gwverse

A - Papers appearing in refereed journals
Comber, A., Callaghan, M., Harris, P., Lu, B., Malleson, N. and Brunsdon, C. 2022. A Template for a New Generic Geographically Weighted R Package gwverse. Geographical Analysis . https://doi.org/10.1111/gean.12337

A Route Map for Successful Applications of Geographically Weighted Regression

A - Papers appearing in refereed journals
Comber, A., Brunsdon, C., Charlton, M., Dong, G., Harris, R., Lu, B., Lu, Y., Murakami, D., Nakaya, T., Wang, Y. and Harris, P. 2021. A Route Map for Successful Applications of Geographically Weighted Regression. Geographical Analysis . https://doi.org/10.1111/gean.12316

The forgotten semantics of regression modelling in Geography

A - Papers appearing in refereed journals
Comber, L., Harris, P., Lu, Y., Wu, L. and Atkinson, P. M. 2019. The forgotten semantics of regression modelling in Geography. Geographical Analysis . pp. 1-22. https://doi.org/10.1111/gean.12199

A simulation study on specifying a regression model for spatial data: choosing between heterogeneity and autocorrelation effects

A - Papers appearing in refereed journals
Harris, P. 2019. A simulation study on specifying a regression model for spatial data: choosing between heterogeneity and autocorrelation effects. Geographical Analysis . 51 (2), pp. 151-181. https://doi.org/10.1111/gean.12163

Enhancements to a geographically weighted principal component analysis in the context of an application to an environmental data set

A - Papers appearing in refereed journals
Harris, P., Clarke, A., Juggins, S., Brunsdon, C. and Charlton, M. 2015. Enhancements to a geographically weighted principal component analysis in the context of an application to an environmental data set. Geographical Analysis . 47 (2), pp. 146-172. https://doi.org/10.1111/gean.12048

Combining nested and linear sampling for determining the scale and form of spatial variation of regionalized variables.

A - Papers appearing in refereed journals
Oliver, M. A. and Webster, R. 1986. Combining nested and linear sampling for determining the scale and form of spatial variation of regionalized variables. Geographical Analysis . 18 (3), pp. 227-242. https://doi.org/10.1111/j.1538-4632.1986.tb00095.x