Kriging In Mass Appraisal For Rating

The application of geostatistical method, kriging, to predict the unknown property values from observed data of known property values in the context of mass appraisal is described in this paper. This method uses semivariogram to define the weight of neighboring observations in the prediction proced...

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Main Authors: Buyong, Taher, Ismail, Suriatini, Sipan, Ibrahim @ Atan, Hashim, Mohd. Ghazali, Adan, Mohd Nurul Fakhri
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
Online Access:http://eprints.utm.my/5593/1/Kriging_in_Mass_Appraisal_for_rating-_Nurul_Fakhri.pdf
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author Buyong, Taher
Ismail, Suriatini
Sipan, Ibrahim @ Atan
Hashim, Mohd. Ghazali
Adan, Mohd Nurul Fakhri
author_facet Buyong, Taher
Ismail, Suriatini
Sipan, Ibrahim @ Atan
Hashim, Mohd. Ghazali
Adan, Mohd Nurul Fakhri
author_sort Buyong, Taher
collection ePrints
description The application of geostatistical method, kriging, to predict the unknown property values from observed data of known property values in the context of mass appraisal is described in this paper. This method uses semivariogram to define the weight of neighboring observations in the prediction procedure. Kriging has been used successfully in predicting underground surfaces such as ore bodies and soil nutrients but receive less attention from valuation and econometrics experts. Several variations of kriging are available but the focus of the paper is on ordinary kriging. The theory is described and computational method applicable to hedonic price equation is shown. Transaction data within Majlis Perbandaran Kulai from year 2004 to 2006 are used as a case study. The results are compared with the traditional method of Multiple Regression Analysis (MRA) in term of its prediction performance.
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spelling utm.eprints-55932017-10-03T06:50:53Z http://eprints.utm.my/5593/ Kriging In Mass Appraisal For Rating Buyong, Taher Ismail, Suriatini Sipan, Ibrahim @ Atan Hashim, Mohd. Ghazali Adan, Mohd Nurul Fakhri G Geography (General) T Technology (General) GA Mathematical geography. Cartography H Social Sciences (General) The application of geostatistical method, kriging, to predict the unknown property values from observed data of known property values in the context of mass appraisal is described in this paper. This method uses semivariogram to define the weight of neighboring observations in the prediction procedure. Kriging has been used successfully in predicting underground surfaces such as ore bodies and soil nutrients but receive less attention from valuation and econometrics experts. Several variations of kriging are available but the focus of the paper is on ordinary kriging. The theory is described and computational method applicable to hedonic price equation is shown. Transaction data within Majlis Perbandaran Kulai from year 2004 to 2006 are used as a case study. The results are compared with the traditional method of Multiple Regression Analysis (MRA) in term of its prediction performance. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/5593/1/Kriging_in_Mass_Appraisal_for_rating-_Nurul_Fakhri.pdf Buyong, Taher and Ismail, Suriatini and Sipan, Ibrahim @ Atan and Hashim, Mohd. Ghazali and Adan, Mohd Nurul Fakhri (2008) Kriging In Mass Appraisal For Rating. In: International Real Estate Research Symposium (IRERS) 2008 Benchmarking, Innovating and Sustaining Real Estate Market Dynamics, 28 – 30th April 2008, PWTC Kuala Lumpur, Malaysia. (Unpublished)
spellingShingle G Geography (General)
T Technology (General)
GA Mathematical geography. Cartography
H Social Sciences (General)
Buyong, Taher
Ismail, Suriatini
Sipan, Ibrahim @ Atan
Hashim, Mohd. Ghazali
Adan, Mohd Nurul Fakhri
Kriging In Mass Appraisal For Rating
title Kriging In Mass Appraisal For Rating
title_full Kriging In Mass Appraisal For Rating
title_fullStr Kriging In Mass Appraisal For Rating
title_full_unstemmed Kriging In Mass Appraisal For Rating
title_short Kriging In Mass Appraisal For Rating
title_sort kriging in mass appraisal for rating
topic G Geography (General)
T Technology (General)
GA Mathematical geography. Cartography
H Social Sciences (General)
url http://eprints.utm.my/5593/1/Kriging_in_Mass_Appraisal_for_rating-_Nurul_Fakhri.pdf
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