This text is written as a follow-up to a two-day workshop on Geographically Weighted Regression (GWR) held at the University of Leeds, June 2005. The aim of this text is both to introduce the reader to the basic concept of GWR through several empirical examples and also to demonstrate how to run GWR with software specifically written for this purpose. The software, GWR 3.0, is available from the authors and details can be found at: http://ncg.nuim.ie/GWR It is highly recommended that this software be used in conjunction with this text. It should be noted that GWR 3.0 produces a set of localised statistics that can be imported into other software for mapping
This research is concerned with a statistical method that has recently become widespread in the inte...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...
This text is written as a follow-up to a two-day workshop on Geographically Weighted Regression (GWR...
This paper describes preliminary work analysing the stability of parameter coefficient estimates for...
This paper describes preliminary work analysing the stability of parameter coefficient estimates for...
Geographically weighted regression and the expansion method are two statistical techniques which can...
its variants are analysis methods that can cope with the multi-scale, spatially non-stationary relat...
In spatial analysis, it is important to identify the nature of the relationship that exists between ...
abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
The application of geographically weighted regression (GWR) – a local spatial statistical technique ...
This research is concerned with a statistical method that has recently become widespread in the int...
This research is concerned with a statistical method that has recently become widespread in the inte...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...
This text is written as a follow-up to a two-day workshop on Geographically Weighted Regression (GWR...
This paper describes preliminary work analysing the stability of parameter coefficient estimates for...
This paper describes preliminary work analysing the stability of parameter coefficient estimates for...
Geographically weighted regression and the expansion method are two statistical techniques which can...
its variants are analysis methods that can cope with the multi-scale, spatially non-stationary relat...
In spatial analysis, it is important to identify the nature of the relationship that exists between ...
abstract: Geographically Weighted Regression (GWR) has been broadly used in various fields to model...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
Geographically Weighted Regression (GWR) is a method of spatial statistical analysis used to explore...
The application of geographically weighted regression (GWR) – a local spatial statistical technique ...
This research is concerned with a statistical method that has recently become widespread in the int...
This research is concerned with a statistical method that has recently become widespread in the inte...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...
The technique of geographically weighted regression (GWR) is used to model spatial ‘drift’ in linea...