Modelling Accessibility to Primary Healthcare Facilities in Argungu LGA: Using Multiscale Geographically Weighted Regression (MSGWR) Approach

Modelling accessibility via transportation networks based upon previous experience: a Geographically Weighted Regression approach

1.1 Motivation Much research is currently being undertaken in transportation to create more realistic models of transportation networks that account for the spatial heterogeneity in those transportation networks (Mark and Sadek, 2004), and also the different modes of transport that may be used. Simply assuming that users will travel at the maximum speed limit for a particular class of road fail...

Using geographically weighted regression to solve the areal interpolation problem

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A modification to geographically weighted regression

BACKGROUND Geographically weighted regression (GWR) is a modelling technique designed to deal with spatial non-stationarity, e.g., the mean values vary by locations. It has been widely used as a visualization tool to explore the patterns of spatial data. However, the GWR tends to produce unsmooth surfaces when the mean parameters have considerable variations, partly due to that all parameter es...

Using Geographically Weighted Regression to Explore Local Crime Patterns

A Case Study on Accessibility of Medical and Healthcare Facilities in Mashhad using GIS

Nowadays, living in cities is more dependent on services than any other period in human life due to the complicated physical-spatial structure of relationships and socio-economic activities, expansion and deepening of social and economic divisions of labor and growing cultural, recreational and social necessities of city-dwellers. Services related to individual health and medical needs of citiz...