Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 6
Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 6
Model description paper
 | 
25 Jun 2018
Model description paper |  | 25 Jun 2018

An improved logistic regression model based on a spatially weighted technique (ILRBSWT v1.0) and its application to mineral prospectivity mapping

Daojun Zhang, Na Ren, and Xianhui Hou

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Short summary
Geographically weighted regression is a widely used method to deal with spatial heterogeneity, which is common in geostatistics. However, most existing software does not support logistic regression and cannot deal with missing data, which exist extensively in mineral prospectivity mapping. This work generalized logistic regression to spatial statistics based on a spatially weighted technique. The new model also supports an anisotropic local window, which is another innovative point.
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