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

Morillo Balsera, María del Carmen and García Cepeda, Francisco and Martínez Cuevas, Sandra and Molina Sánchez, Iñigo and 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.

Description

Title: Geostatistical Study of the Rural Property Market Applicable to the Region of Murcia (Spain)
Author/s:
  • Morillo Balsera, María del Carmen
  • García Cepeda, Francisco
  • Martínez Cuevas, Sandra
  • Molina Sánchez, Iñigo
  • García Aranda, César
Item Type: Article
Título de Revista/Publicación: Applied Spatial Analysis And Policy
Date: 2016
ISSN: 1874-463X
Volume: 10
Subjects:
Freetext Keywords: Geographic information system (GIS) Spatial interpolation IDW Kriging Multivariate statistical Cadastre
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica y Topografía
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview

Abstract

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.

More information

Item ID: 43216
DC Identifier: http://oa.upm.es/43216/
OAI Identifier: oai:oa.upm.es:43216
DOI: 10.1007/s12061-016-9200-8
Official URL: https://link.springer.com/article/10.1007/s12061-016-9200-8?no-access=true
Deposited by: Memoria Investigacion
Deposited on: 22 Mar 2017 10:21
Last Modified: 22 Mar 2017 12:10
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM