DocumentCode
1890445
Title
Residential property valuation using GIS
Author
Bohari, Sharifah Norashikin ; Saad, Siti Nor Maizah ; Marzukhi, Faradina ; Rahim, Ashnita ; Darim, Ainul Dzahira Ahmad
Author_Institution
Fac. of Archit., Univ. Teknol. Mara Perlis, Arau, Malaysia
fYear
2015
fDate
6-8 March 2015
Firstpage
131
Lastpage
134
Abstract
Valuation of properties especially residential properties commonly done manually or based on current report and site investigation and mostly it was recorded in a paper form and hardcopies. The current trend to revaluation properties is developing a property valuation model which also capable to estimate residential properties values in a large scale and short period. Geographic Information System (GIS) also provide capable tools that can be used to record all information about value of properties and can be displayed as spatial based information. This study demonstrates the development of property valuation model using the Ordinary Least Square (OSL) method to estimate residential properties values for state of Perlis, Malaysia. The model was developing in ArcGIS software. The effectiveness of the OLS would be examined by referring to the accuracy of the model and the significant of the model´s variables, conducted through a series of model tests and compared the models predicted value with the present value.
Keywords
geographic information systems; least squares approximations; ArcGIS software; Malaysia; OSL method; Perlis; geographic information system; information recording; model tests; model variables; ordinary-least square method; residential property valuation; residential property value estimation; spatial based information; Analytical models; Cost accounting; Data collection; Data models; Geographic information systems; Predictive models; Signal processing; GIS; Ordinary Least Squares (OLS); residential property valuation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing & Its Applications (CSPA), 2015 IEEE 11th International Colloquium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4799-8248-6
Type
conf
DOI
10.1109/CSPA.2015.7225632
Filename
7225632
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