Spatial association and heterogeneity issues in land price models

Auteurs :
PÁEZ, A.
UCHIDA, T.
MIYAMOTO, K.

Description :
Urban planners often use spatially associated or heterogeneous data, which leads to estimation pitfalls, most notably spatial autocorrelation and model structural instability over space. A modelling methodology is introduced, that combines a spatial autoregression with a switching regression to incorporate both association and heterogeneity as part of the analysis. Using Sendai City (Japan) as a case study, the AA. use local statistics of spatial association to assist in the exploration and definition of heterogeneous regimes.


Type de document :
Article de périodique

Source :
Urban studies (Harlow), issn : 0042-0980, 2001, vol. 38, n°. 9, p. 1493-1508, Collation : Illustration, Références bibliographiques : 24 ref.

Date :
2001

Editeur :
Pays édition : Royaume-Uni, Harlow, Longman Group