Rothamsted Repository

Rothamsted Repository

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    Publication

    Number of items: 3.
    Public
  • High-performance solutions of geographically weighted regression in R. (2022) Lu, B., Hu, Y., Murakami, D., Brunsdon, C., Comber, A., Charlton, M., Harris, Paul
  • GWmodelS: a standalone software to train geographically weighted models. (2024) Lua, B., Hu, Y., Yang, D., Liu, Y., Ou, G., Harris, Paul, Brunsdon, C., Comber, A., Dong, G.
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  • The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models. (2014) Lu, B., Harris, Paul, Charlton, M., Brunsdon, C. picture_as_pdf
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