Geo-spatial Information Science

Journal

TitleGeo-spatial Information Science
ISSN1009-5020
PublisherSpringer-Verlag Berlin

Outputs

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High-performance solutions of geographically weighted regression in R

A - Papers appearing in refereed journals
Lu, B., Hu, Y., Murakami, D., Brunsdon, C., Comber, A., Charlton, M. and Harris, P. 2022. High-performance solutions of geographically weighted regression in R. Geo-spatial Information Science. pp. 1-14. https://doi.org/10.1080/10095020.2022.2064244

The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models

A - Papers appearing in refereed journals
Lu, B., Harris, P., Charlton, M. and Brunsdon, C. 2014. The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models. Geo-spatial Information Science. 17, pp. 85-101. https://doi.org/10.1080/10095020.2014.917453