Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows heterogeneities processes relationships to be investigated through a series local regression models rather than single global one. Standard GWR assumes that between the response predictor variables operate at same scale, which frequently not case. To address this, severa...

Soil organic matter (SOM) is an important component of soils, and knowing the spatial distribution and variation of SOM is the premise for sustainably utilizing soils. The objective of this study was to compare geographically weighted regression (GWR) with regression kriging (RK) for estimating the spatial distribution of SOM using field-sample data in SOM and auxiliary data in correlated envir...

This study is concerned with the relationship between transport accessibility and increases in land value, motivated by a desire to inform the land value capture debate. Focusing on residential land, here land value is examined through the form of house prices, using the Tyne and Wear Region of the UK as a case study. In a typical hedonic price model, adopted widely in property studies, the ass...