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An Approach to Model House Rent for Cities - Md. Imran Hossain
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2010, ISBN: 9783639164862

ID: 632195447

The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 - ¿. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city. A statistical regression model and GIS based solution for Khulna city, Bangladesh Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 01.09.2010 Buch (fremdspr.), VDM, .201

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A statistical regression model and GIS based solution for Khulna city, Bangladesh The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 - ¿. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-16486-2, VDM

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The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 - ¿. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city. A statistical regression model and GIS based solution for Khulna city, Bangladesh Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, VDM

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[ED: Taschenbuch], [PU: VDM Verlag], Neuware - The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06 X1 + 1290.24 X2+ 0.005 X3+ 9.211 X4 - 0.047 X5 - 0.174 X6 + 0.054 X7 . In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x6 mm, [GW: 171g]

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Md. Imran Hossain:
An Approach to Model House Rent for Cities - Taschenbuch

2010, ISBN: 3639164865

ID: 20120758607

[EAN: 9783639164862], Neubuch, [PU: VDM Verlag Sep 2010], Neuware - The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06 X1 + 1290.24 X2+ 0.005 X3+ 9.211 X4 - 0.047 X5 - 0.174 X6 + 0.054 X7 . In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city. 104 pp. Englisch

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Details zum Buch
An Approach to Model House Rent for Cities
Autor:

Hossain, Md. Imran

Titel:

An Approach to Model House Rent for Cities

ISBN-Nummer:

The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 - ¿. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city.

Detailangaben zum Buch - An Approach to Model House Rent for Cities


EAN (ISBN-13): 9783639164862
ISBN (ISBN-10): 3639164865
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: VDM Verlag Dr. Müller

Buch in der Datenbank seit 31.07.2008 04:24:36
Buch zuletzt gefunden am 20.03.2017 11:41:19
ISBN/EAN: 3639164865

ISBN - alternative Schreibweisen:
3-639-16486-5, 978-3-639-16486-2


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