Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Artificial neural networks and geostatistical models for housing valuations in urban residential areas
Year:2018
Research Areas
  • Artificial intelligence,
  • Database management system,
  • Statistical method
Information
Abstract
Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are the most applied, overcoming the inflexibility and the linearity of the hedonic models. Other researchers have used Geostatistics techniques, specifically the Kriging Method, for interpreting spatial-temporal variability and to predict housing unit prices. The innovation of this study is to highlight how the Kriging Method can help to better understand the urban environment, improving the results obtained by classical statistics. This study presents two different methods that share the general objective of extracting information regarding a city?s housing from datasets. The procedures applied are Ordinary Kriging (Geostatistics) and Multi-Layer Perceptron algorithm (Artificial Neural Networks). These methods were used to predict housing unit prices in the municipality of Pozuelo de Alarcon (Madrid). The implementation of both methods provides us with the urban characteristics of the study area and the most significant variables related to price. The main conclusion is that the Ordinary Kriging models and the Neural Networks models, applied to predicting housing unit prices are necessary methodologies to improve the information obtained in classical statistical techniques.
International
Si
JCR
Si
Title
Geografisk Tidsskrift-Danish Journal of Geography
ISBN
0016-7223
Impact factor JCR
0,963
Impact info
Datos JCR del año 2016
Volume
118
Journal number
From page
1
To page
10
Month
JULIO
Ranking
Participants
  • Autor: Maria del Carmen Morillo Moya (UPM)
  • Autor: Sandra Martinez Cuevas (UPM)
  • Autor: Iñigo Molina Sanchez (UPM)
  • Autor: Cesar Garcia Aranda (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Grupo de Investigación: SEMEPRO: Seguridad y Mejora de Procesos
  • Grupo de Investigación: Ingeniería Sísmica: Dinámica de Suelos y Estructuras
  • Grupo de Investigación: Geovisualización, Espacios Singulares y Patrimonio
  • Departamento: Sistemas y Recursos Naturales
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)