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...

Full description

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.26906
record_format	uketd_dc
spelling	my-utm-ep.269062018-05-27T06:36:33Z Pembangunan model penilian massa bagi tujuan cukai taksiran menggunakan kaedah "Geografically Weighted Regression" 2011-05 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 http://eprints.utm.my/id/eprint/26906/ http://eprints.utm.my/id/eprint/26906/1/NorshimaNorzlanMFKSG2011.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
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
qualification_level	Master's degree
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"
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2011
url	http://eprints.utm.my/id/eprint/26906/1/NorshimaNorzlanMFKSG2011.pdf
_version_	1747815539795820544

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

Similar Items