This research reports results from a competition on modeling spatial and temporal
components of house prices. A large, well-documented database was prepared and made …

Spatial regression methodology has been around for most of the 50 years (1961-2011) that
the Southern Regional Science Association has been in existence. Cliff and Ord (1969) …

There is a great deal of literature regarding use of nongeographically based connectivity
matrices or combinations of geographic and non-geographic structures in spatial …

This research incorporates a Spatial Autoregressive Variable with Similarity components
(SARS) within a traditional hedonic model. The behavior of economic agents and the spatial …

With the rising housing prices of the last 20 years, the appraisal of real estate has become
more difficult. Underlined by the large differences between listing and selling prices, the …

In the developing world, matching the education and training of Valuation Surveyors with the
needs of the industry is increasingly becoming challenging. This is largely due to …

We use parallel processing and improved algorithms to search for the weights given to two
locational coordinates as well as three non-locational dimensions to find multidimensional …

Mass appraisal of single-family homes is now possible using scalable versions of Gaussian
process regression. However, it is here shown that the valuation accuracy of such models …

This paper describes a method for automating sales comparison valuations by choosing a
small sample of comparable sales from a submarket of similar properties and adjusting their …

Türkiye'de gayrimenkul değerleme uzmanlarının yapmış olduğu değerlemelerin,
yurtdışındaki örnekler ile karşılaştırıldığında çoğunlukla bilimsel bir temele dayandırılmayan …