An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geographically Weighted Regression (GWR) – using a geovisual exploratory approach. The GWR parameter space is treated as a multivariate dataset and explored in a geovisual exploratory environment with the goal to identify spatial and multivariate patterns that describe the spatial variability of the parameters and underlying spatial processes
We publish a book on the theory and application of spatial and spatio-temporal statistics. That pres...
abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model...
This research is concerned with a statistical method that has recently become widespread in the inte...
An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geo...
An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geo...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
its variants are analysis methods that can cope with the multi-scale, spatially non-stationary relat...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Geographically weighted regression (GWR) has been a popular tool applied in various disciplines to e...
Geographically weighted regression and the expansion method are two statistical techniques which can...
Geographically weighted regression and the expansion method are two statistical techniques which can...
We publish a book on the theory and application of spatial and spatio-temporal statistics. That pres...
abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model...
This research is concerned with a statistical method that has recently become widespread in the inte...
An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geo...
An attempt is made to facilitate interpretation of the results of a spatial statistical method – Geo...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
The paper examines the potential for combining a spatial statistical methodology – Geographically W...
its variants are analysis methods that can cope with the multi-scale, spatially non-stationary relat...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Traditional regression analysis describes a modelled relationship between a dependent variable and ...
Geographically weighted regression (GWR) has been a popular tool applied in various disciplines to e...
Geographically weighted regression and the expansion method are two statistical techniques which can...
Geographically weighted regression and the expansion method are two statistical techniques which can...
We publish a book on the theory and application of spatial and spatio-temporal statistics. That pres...
abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model...
This research is concerned with a statistical method that has recently become widespread in the inte...