dc.contributorSantos, Cristiane Carine dos
dc.creatorFruet, Evaldo
dc.date.accessioned2022-09-14T16:26:29Z
dc.date.accessioned2022-10-07T23:15:07Z
dc.date.available2022-09-14T16:26:29Z
dc.date.available2022-10-07T23:15:07Z
dc.date.created2022-09-14T16:26:29Z
dc.date.issued2022-08-22
dc.identifierhttp://repositorio.ufsm.br/handle/1/26169
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4039878
dc.description.abstractAssessment engineering groups together several areas of knowledge from engineering, architecture, natural, exact and social sciences. In view of this, real estate valuation is of great interest to real estate companies, buyers, sellers, construction companies, the judiciary, city halls, investors, real estate credit banks, among others. Thus, the approach to land assessment depends on its objective and purpose. In this regard, appraisal engineering arises due to the need to assign price or value to real estate. In real estate appraisal methods are considered to calculate the price or value of the appraised asset. Since this calculation needs to represent the economic context in which the property is inserted, according to the geo location and the date considered. The real estate appraisal of this work was carried out in accordance with the ABNT/NBR 14653-2 (2011) standard, which governs the appraisal of urban properties and references the methods and criteria used in the appraisal model. As in this work the Direct Comparative Method of Market data was considered, ABNT/NBR 14653-2 (2011) indicates that an inspection of the property evaluated is necessary. Furthermore, it is necessary to assign quantitative and qualitative variables that influence the formation of the land price. With the definition of the quantitative and qualitative variables, the Treatment by Factors was applied to homogenize the market data obtained in real estate advertisements. Afterwards, data sanitation was applied by the Chauvenet Criterion. After applying this criterion, the trend of the mean value and the confidence limits were statistically calculated. From the statistically evaluated data, it was possible to reach the level of reasoning and precision that NBR 14653-2 (2011) instructs. As a result of the work, the market price of the land was calculated at R$ 220,000.00, valid for the year 2022.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBrasil
dc.publisherUFSM
dc.publisherCentro de Tecnologia
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAcesso Aberto
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectAvaliação de terreno urbano
dc.subjectCritério de Chauvenet
dc.subjectMétodo comparativo direto de dados de mercado
dc.subjectTratamento por fatores estatísticos
dc.subjectUrban land assessment
dc.subjectChauvenet criterion
dc.subjectDirect comparative method of market data
dc.subjectTreatment by statistical factors
dc.titleAvaliação imobiliária de terreno urbano pelo método comparativo direto de dados de mercado
dc.typeTrabalho de Conclusão de Curso de Graduação


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