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There has been a growing interest in using local statistics to identify spatial or spatiotemporal association patterns among georeferenced data, in which the null distributions of the statistics play a key role for the confirmatory inferences. In this study we focus on a generic form of local...
Persistent link: https://www.econbiz.de/10011240463
Geographically weighted regression (GWR), as a useful method for exploring spatial nonstationarity of a regression relationship, has been applied to a variety of areas. In this method a spatially varying coefficient model is locally calibrated and the spatial-variation patterns of the locally...
Persistent link: https://www.econbiz.de/10005103896
A mixed geographically weighted regression (MGWR) model is a kind of regression model in which some coefficients of the explanatory variables are constant, but others vary spatially. It is a useful statistical modelling tool in a number of areas of spatial data analysis. After an MGWR model is...
Persistent link: https://www.econbiz.de/10005595696