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Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"

In Malaysia, the property valuation method for an assessment purposes are still using the single appraisal method. Therefore, the un-uniformity and un-equity element will be exist in the annual value. In order to eliminate this weakness, the suitable solution is by using mass appraisal. Mass apprais...

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Main Author: Norzlan, Norshima
Format: Thesis
Language:English
Published: 2011
Subjects:
G Geography (General)
Online Access:http://eprints.utm.my/id/eprint/26906/1/NorshimaNorzlanMFKSG2011.pdf
http://eprints.utm.my/id/eprint/26906/
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spelling my.utm.269062018-05-27T06:36:33Z http://eprints.utm.my/id/eprint/26906/ Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression" Norzlan, Norshima G Geography (General) In Malaysia, the property valuation method for an assessment purposes are still using the single appraisal method. Therefore, the un-uniformity and un-equity element will be exist in the annual value. In order to eliminate this weakness, the suitable solution is by using mass appraisal. Mass appraisal is the process of valuing a range of properties for a given date, in a way that provides objectivity, equity, and the possibility for statistical testing. Multiple Regression Analysis (MRA) is the conventional statistical technique commonly used in mass appraisal, but by ignoring the spatial and location factor, the developed model will be inaccurate. Thus, this study highlighted three main objective which are - research on mass appraisal and Geographically Weighted Regression (GWR) concept, performance comparison on the model created from Ordinary Least Square and Geographically Weighted Regression (GWR) and development of mass appraisal model for two storey link house in Selayang Municipal Council area. The result from this study shows that the local factor did not influence the rental value of the two storey link house. However, according to the GWR analysis, spatial relationship between dependent variable and independent variable can be seen through the coefficient raster surface. As a conclusion, a mass appraisal model are able to be develop using GWR technique and the coefficient value acquired. 2011-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/26906/1/NorshimaNorzlanMFKSG2011.pdf Norzlan, Norshima (2011) Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression". Masters thesis, Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G Geography (General)
spellingShingle G Geography (General)
Norzlan, Norshima
Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
description In Malaysia, the property valuation method for an assessment purposes are still using the single appraisal method. Therefore, the un-uniformity and un-equity element will be exist in the annual value. In order to eliminate this weakness, the suitable solution is by using mass appraisal. Mass appraisal is the process of valuing a range of properties for a given date, in a way that provides objectivity, equity, and the possibility for statistical testing. Multiple Regression Analysis (MRA) is the conventional statistical technique commonly used in mass appraisal, but by ignoring the spatial and location factor, the developed model will be inaccurate. Thus, this study highlighted three main objective which are - research on mass appraisal and Geographically Weighted Regression (GWR) concept, performance comparison on the model created from Ordinary Least Square and Geographically Weighted Regression (GWR) and development of mass appraisal model for two storey link house in Selayang Municipal Council area. The result from this study shows that the local factor did not influence the rental value of the two storey link house. However, according to the GWR analysis, spatial relationship between dependent variable and independent variable can be seen through the coefficient raster surface. As a conclusion, a mass appraisal model are able to be develop using GWR technique and the coefficient value acquired.
format Thesis
author Norzlan, Norshima
author_facet Norzlan, Norshima
author_sort Norzlan, Norshima
title Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
title_short Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
title_full Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
title_fullStr Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
title_full_unstemmed Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression"
title_sort pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "geografically weighted regression"
publishDate 2011
url http://eprints.utm.my/id/eprint/26906/1/NorshimaNorzlanMFKSG2011.pdf
http://eprints.utm.my/id/eprint/26906/
_version_ 1643647892998586368
score 13.223943

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