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THE USE OF NEURAL NETWORKS IN THE SPATIAL ANALYSIS OF PROPERTY VALUES AgEcon
Amabile, Raimondo; Rosato, Paolo.
The real-estate market is "where" a multiplicity of economic, cultural, social and demographic factors are synthesised with respect to choices regarding the qualitative and locational aspects of a property. The spatial analysis of the real-estate market and, in particular, of the factors which contribute to determining prices, is a very useful instrument in outlining the geography of the economic development of vast areas. The aim of the paper is the construction of a simulation model, on a spatial level, of real-estate values with reference to the housing market in the urban area of the city of Treviso (I). The model was built using a neural network which gives the possibility of analysing the marginal contribution of single real-estate characteristics...
Tipo: Conference Paper or Presentation Palavras-chave: Land Economics/Use.
Ano: 1998 URL: http://purl.umn.edu/14494
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