Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values
Locational Value ResidualSurface (LVRS) has been suggested as an alternative to resolving the difficulty in the traditional modelling of locational influence on property values in a particular area. The objective of this paper was to compare the relative performance of models that apply locational v...
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| Format: | Article |
| Language: | English |
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PRRES
2007
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| Online Access: | http://eprints.utm.my/4461/2/PRPRJ_No_1_2007_Hamid.pdf |
| _version_ | 1796853737691545600 |
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| author | Mar Iman, Abdul Hamid |
| author_facet | Mar Iman, Abdul Hamid |
| author_sort | Mar Iman, Abdul Hamid |
| collection | ePrints |
| description | Locational Value ResidualSurface (LVRS) has been suggested as an alternative to resolving the difficulty in the traditional modelling of locational influence on property values in a particular area. The objective of this paper was to compare the relative performance of models that apply locational value residual surface (LVRS) and the traditional multiple regression models in the prediction of residential property values. A controlled sample of 125 single- and double-storey residential properties was used to construct regression models. It was found that models applying LVRS were marginally better than the traditional models in predicting property values. |
| first_indexed | 2024-03-05T18:04:00Z |
| format | Article |
| id | utm.eprints-4461 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:04:00Z |
| publishDate | 2007 |
| publisher | PRRES |
| record_format | dspace |
| spelling | utm.eprints-44612017-02-15T06:56:41Z http://eprints.utm.my/4461/ Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values Mar Iman, Abdul Hamid HF Commerce Locational Value ResidualSurface (LVRS) has been suggested as an alternative to resolving the difficulty in the traditional modelling of locational influence on property values in a particular area. The objective of this paper was to compare the relative performance of models that apply locational value residual surface (LVRS) and the traditional multiple regression models in the prediction of residential property values. A controlled sample of 125 single- and double-storey residential properties was used to construct regression models. It was found that models applying LVRS were marginally better than the traditional models in predicting property values. PRRES 2007-03 Article PeerReviewed text/html en http://eprints.utm.my/4461/2/PRPRJ_No_1_2007_Hamid.pdf Mar Iman, Abdul Hamid (2007) Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values. Pacific Rim Property Research Journal, 13 (1). pp. 35-62. ISSN 1444-8921 |
| spellingShingle | HF Commerce Mar Iman, Abdul Hamid Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title | Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title_full | Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title_fullStr | Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title_full_unstemmed | Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title_short | Combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| title_sort | combining geographic information systems and regression models to generate locational value residual surfaces in the assessment of residential property values |
| topic | HF Commerce |
| url | http://eprints.utm.my/4461/2/PRPRJ_No_1_2007_Hamid.pdf |
| work_keys_str_mv | AT marimanabdulhamid combininggeographicinformationsystemsandregressionmodelstogeneratelocationalvalueresidualsurfacesintheassessmentofresidentialpropertyvalues |