Geoadditive Models for Property Market

Article Preview

Abstract:

Geoadditive models represent efficient and flexible tools, useful in modeling realistically complex situations. Mainly they are based on semi-parametric regressions often integrated by Kriging techniques for the spatial interpolation of surfaces. One of the choices to be made for determination of interpolated surfaces regards the specific function to be used to estimate the unknown values​​. The choice may currently occur between exponential, gaussian, linear, rational or spherical functions. In this working paper a geoadditive model based on penalized spline functions has been proposed, in order to obtain improvements in forecasting of interpolated surfaces respect to usual Kriging techniques. The main aim of this study is the identification of methodology in able to define and delineate the real estate market scenarios for urban areas through analysis of property values and their spatial distribution.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2505-2509

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Kammann E.E. e Wand M.P., Geoadditive models, Applied Statistics, 52, (2003).

Google Scholar

[2] Hastie T.J., Pseudosplines, Journal of the Royal Statistic Society, Series B 58, (1996).

Google Scholar

[3] Ngo L., Wand M.P., Smoothing with Mixed Model Software, Journal of Statistical Software, 9, (2004).

Google Scholar

[4] Wand M.P., French J.L., Ganguli B. Kammann E.E., Stuadenmayer J., Zanobetti A., SemiPar 1. 0 R package, http: / cran. r-project. org, (2005).

Google Scholar

[5] Wand M.P., Smoothing and mixed models, Computational Statistics, 18, (2003).

Google Scholar

[6] Ruppert D., Wand M.P., Carroll R.J., Semiparametris regressions, Cambridge University Press, (2003).

Google Scholar

[7] Manganelli B., Morano P., Tajani F., House Prices and Rents. The Italian Experience, WSEAS Transactions on Business and Economics, Vol. 11, (2014).

Google Scholar

[8] Morano P, Manganelli B., Estimating the market value of the building sites for homogeneous areas, Advanced Materials Research, Volume 869-870, (2014).

DOI: 10.4028/www.scientific.net/amr.869-870.14

Google Scholar

[9] Manganelli B., Pontrandolfi P., Azzato A., Murgante B., Urban residential land value analysis: The case of Potenza, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 7974 LNCS, Issue PART 4, (2013).

DOI: 10.1007/978-3-642-39649-6_22

Google Scholar