MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/76105 |
Resumo: | Housing Market appraisal studies generally apply classic regression models, whose parameters are globally estimated. However, the use of the Geographically Weighted Regression (GWR) model, allows the parameters to be locally estimated, increasing its precision. The aim of this article is to apply the GWR model to a sample of 82 apartments, in order to create a plan of values of some districts of the West Zone of Rio de Janeiro city, Brazil. With the proposed methodology, GWR and kernel estimator, it is possible to generate a surface of values. The performance of the surface of values was assessed with (i) cross-validation between the kernel functions, with the Root-Mean Square Standardized (RMSS) error; and with (ii) the GWR adjustment factors to determine the ideal bandwidth. The contribution of generating a surface of values with geographical location via kernel estimator lies on supporting apartment pricing, such as in calculating the venal value of apartments of the West Zone of Rio de Janeiro city, besides being applied in IPTU- Imposto sobre Propriedade Predial e Territorial (The Urban Real Estate Property Tax) and ITBI - Imposto de Transmissão de Bens Imóveis (Tax on the Transfer of Real Estate) and ITBI collection. |
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MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSIONGeociências, Ciências da TerraPlan of generic value; Mass appraisal; Kernel interpolator; Surface of value; Geostatistics.Housing Market appraisal studies generally apply classic regression models, whose parameters are globally estimated. However, the use of the Geographically Weighted Regression (GWR) model, allows the parameters to be locally estimated, increasing its precision. The aim of this article is to apply the GWR model to a sample of 82 apartments, in order to create a plan of values of some districts of the West Zone of Rio de Janeiro city, Brazil. With the proposed methodology, GWR and kernel estimator, it is possible to generate a surface of values. The performance of the surface of values was assessed with (i) cross-validation between the kernel functions, with the Root-Mean Square Standardized (RMSS) error; and with (ii) the GWR adjustment factors to determine the ideal bandwidth. The contribution of generating a surface of values with geographical location via kernel estimator lies on supporting apartment pricing, such as in calculating the venal value of apartments of the West Zone of Rio de Janeiro city, besides being applied in IPTU- Imposto sobre Propriedade Predial e Territorial (The Urban Real Estate Property Tax) and ITBI - Imposto de Transmissão de Bens Imóveis (Tax on the Transfer of Real Estate) and ITBI collection.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesCAPESFontoura Júnior, Caio Flávio Martinez FontouraUberti, Marlene SaletiTachibana, Vilma Mayumi2020-08-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/76105Boletim de Ciências Geodésicas; Vol 26, No 2 (2020)Bulletin of Geodetic Sciences; Vol 26, No 2 (2020)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRporhttps://revistas.ufpr.br/bcg/article/view/76105/41518Copyright (c) 2020 Caio Flávio Martinez Fontoura Fontoura Júnior, Marlene Saleti Uberti, Vilma Mayumi Tachibanahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2020-08-27T22:40:40Zoai:revistas.ufpr.br:article/76105Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2020-08-27T22:40:40Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
title |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
spellingShingle |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION Fontoura Júnior, Caio Flávio Martinez Fontoura Geociências, Ciências da Terra Plan of generic value; Mass appraisal; Kernel interpolator; Surface of value; Geostatistics. |
title_short |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
title_full |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
title_fullStr |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
title_full_unstemmed |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
title_sort |
MASS APPRAISAL OF APARTMENT THROUGH GEOGRAPHICALLY WEIGHTED REGRESSION |
author |
Fontoura Júnior, Caio Flávio Martinez Fontoura |
author_facet |
Fontoura Júnior, Caio Flávio Martinez Fontoura Uberti, Marlene Saleti Tachibana, Vilma Mayumi |
author_role |
author |
author2 |
Uberti, Marlene Saleti Tachibana, Vilma Mayumi |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
CAPES |
dc.contributor.author.fl_str_mv |
Fontoura Júnior, Caio Flávio Martinez Fontoura Uberti, Marlene Saleti Tachibana, Vilma Mayumi |
dc.subject.por.fl_str_mv |
Geociências, Ciências da Terra Plan of generic value; Mass appraisal; Kernel interpolator; Surface of value; Geostatistics. |
topic |
Geociências, Ciências da Terra Plan of generic value; Mass appraisal; Kernel interpolator; Surface of value; Geostatistics. |
description |
Housing Market appraisal studies generally apply classic regression models, whose parameters are globally estimated. However, the use of the Geographically Weighted Regression (GWR) model, allows the parameters to be locally estimated, increasing its precision. The aim of this article is to apply the GWR model to a sample of 82 apartments, in order to create a plan of values of some districts of the West Zone of Rio de Janeiro city, Brazil. With the proposed methodology, GWR and kernel estimator, it is possible to generate a surface of values. The performance of the surface of values was assessed with (i) cross-validation between the kernel functions, with the Root-Mean Square Standardized (RMSS) error; and with (ii) the GWR adjustment factors to determine the ideal bandwidth. The contribution of generating a surface of values with geographical location via kernel estimator lies on supporting apartment pricing, such as in calculating the venal value of apartments of the West Zone of Rio de Janeiro city, besides being applied in IPTU- Imposto sobre Propriedade Predial e Territorial (The Urban Real Estate Property Tax) and ITBI - Imposto de Transmissão de Bens Imóveis (Tax on the Transfer of Real Estate) and ITBI collection. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-27 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/76105 |
url |
https://revistas.ufpr.br/bcg/article/view/76105 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/76105/41518 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
publisher.none.fl_str_mv |
Boletim de Ciências Geodésicas Bulletin of Geodetic Sciences |
dc.source.none.fl_str_mv |
Boletim de Ciências Geodésicas; Vol 26, No 2 (2020) Bulletin of Geodetic Sciences; Vol 26, No 2 (2020) 1982-2170 1413-4853 reponame:Boletim de Ciências Geodésicas instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Boletim de Ciências Geodésicas |
collection |
Boletim de Ciências Geodésicas |
repository.name.fl_str_mv |
Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br |
_version_ |
1799771720009121792 |