Publication

Date Creators Item Type Full Text Status

C

A Route Map for Successful Applications of Geographically Weighted Regression. (2021) Comber, A., Brunsdon, C., Charlton, M., Dong, G., Harris, R., Lu, B., Lu, Y., Murakami, D., Nakaya, T., Wang, Y., Harris, Paul

gwverse: A Template for a New Generic Geographically Weighted R Package. (2022) Comber, A., Callaghan, M., Harris, Paul, Lu, B., Malleson, N., Brunsdon, C.

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

The forgotten semantics of regression modelling in Geography. (2019) Comber, L., Harris, Paul, Lu, Y., Wu, Lianhai, Atkinson, P. M.

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A simulation study on specifying a regression model for spatial data: choosing between heterogeneity and autocorrelation effects. (2018) Harris, Paul

Enhancements to a geographically weighted principal component analysis in the context of an application to an environmental data set. (2014) Harris, Paul, Clarke, A., Juggins, S., Brunsdon, C., Charlton, M. picture_as_pdf

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Combining nested and linear sampling for determining the scale and form of spatial variation of regionalized variables. (1986) Oliver, M. A., Webster, Richard