The problem of locally varying coefficients in geographical applications is considered. Two approaches to this are then discussed-geographically weighted regression and random coefficient models. The latter is considered in two forms: firstly, the case that only the intercept coefficient is random; and then the case in which all coefficients are random. All these techniques are applied to a data set derived from the 1991 UK Census of Population relating to limiting long-term illness.
|Original language||English (US)|
|Number of pages||16|
|Journal||Geographical and Environmental Modelling|
|Publication status||Published - 1999|
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Geography, Planning and Development