Geostatistical Study of the Rural Property Market Applicable to the Region of Murcia (Spain)

Morillo Balsera, María del Carmen; García Cepeda, Francisco; Martínez Cuevas, Sandra; Molina Sánchez, Iñigo y García Aranda, César (2016). Geostatistical Study of the Rural Property Market Applicable to the Region of Murcia (Spain). "Applied Spatial Analysis And Policy", v. 10 (n. 33); pp. 1-23. ISSN 1874-463X. https://doi.org/10.1007/s12061-016-9200-8.

Descripción

Título: Geostatistical Study of the Rural Property Market Applicable to the Region of Murcia (Spain)
Autor/es:
  • Morillo Balsera, María del Carmen
  • García Cepeda, Francisco
  • Martínez Cuevas, Sandra
  • Molina Sánchez, Iñigo
  • García Aranda, César
Tipo de Documento: Artículo
Título de Revista/Publicación: Applied Spatial Analysis And Policy
Fecha: 2016
Volumen: 10
Materias:
Palabras Clave Informales: Geographic information system (GIS) Spatial interpolation IDW Kriging Multivariate statistical Cadastre
Escuela: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Departamento: Ingeniería Cartográfica y Topografía
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Spatial Analysis has been used since the early 1990’s for rural cadastral models. Nowadays, it is necessary to use Geographic Information Systems (GIS), Global Positioning Systems (GPS) and Cartography as well as dedicated software in order to solve problems in Cadastral Models. Among these models, the selection and prioritization of the parameters affecting the rural property valuation assets, as well as the zoning optimization (homogeneous sectors) within a community, are one of the biggest concerns for Cadastral Agencies. This research is focused on rural property in the Region of Murcia, in accordance with data recorded from 2007 to 2009. The techniques used for the spatial zoning were carried out by means of IDW (Inverse Distance Weighting) and kriging interpolators as they are the most widely used in spatial variation analysis studies. Although both interpolators produced similar results, IDW was better for predicting variation in “Unit Prices”. Afterwards, a statistical study was later completed using ANOVA, Chi-Squared and Correspondence Analysis procedures. The research results demonstrate the consistency of the parameters that have been used in the Cadastral Agencies, and the degree of involvement of these parameters in assessing the results of unit prices for different areas. These results are secured by the verification techniques applied.

Más información

ID de Registro: 43216
Identificador DC: http://oa.upm.es/43216/
Identificador OAI: oai:oa.upm.es:43216
Identificador DOI [BETA]: 10.1007/s12061-016-9200-8
URL Oficial: https://link.springer.com/article/10.1007/s12061-016-9200-8?no-access=true
Depositado por: Memoria Investigacion
Depositado el: 22 Mar 2017 10:21
Ultima Modificación: 22 Mar 2017 12:10
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