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dc.contributorMateu, Jorge
dc.contributorHenriques, Roberto
dc.contributorPainho, Marco
dc.contributor.authorPopović, Dejan
dc.contributor.otherUniversitat Jaume I. Departament de Matemàtiques
dc.descriptionTreball final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial. Codi: SIW013. Curs academic 2015-2016ca_CA
dc.description.abstractOne of the objectives of this study is to perform classification of socio-demographic components for the level of city section in City of Lisbon. In order to accomplish suitable platform for the restaurant potentiality map, the socio-demographic components were selected to produce a map of spatial clusters in accordance to restaurant suitability. Consequently, the second objective is to obtain potentiality map in terms of underestimation and overestimation in number of restaurants. To the best of our knowledge there has not been found identical methodology for the estimation of restaurant potentiality. The results were achieved with combination of SOM (Self-Organized Map) which provides a segmentation map and GAM (Generalized Additive Model) with spatial component for restaurant potentiality. Final results indicate that the highest influence in restaurant potentiality is given to tourist sites, spatial autocorrelation in terms of neighboring restaurants (spatial component), and tax value, where lower importance is given to household with 1 or 2 members and employed population, respectively. In addition, an important conclusion is that the most attractive market sites in Lisbon have shown no change or moderate underestimation in terms of restaurants potentiality.ca_CA
dc.format.extentx, 78 p.ca_CA
dc.publisherUniversitat Jaume Ica_CA
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain*
dc.subjectMàster Universitari Erasmus Mundus en Tecnologia Geoespacialca_CA
dc.subjectErasmus Mundus University Master's Degree in Geospatial Technologiesca_CA
dc.subjectMáster Universitario Erasmus Mundus en Tecnología Geoespacialca_CA
dc.subjectLocation analysisca_CA
dc.subjectExploratory analysisca_CA
dc.subjectSelf-organized mapsca_CA
dc.subjectSpatial weightingca_CA
dc.subjectGeneralized linear modelca_CA
dc.subjectGeneral additive modelca_CA
dc.subjectPredictive modellingca_CA
dc.titleLocation analysis of city sections: socio-demographic segmentation and restaurant potentiality estimation: a case study City of Lisbonca_CA
dc.educationLevelEstudios de Postgradoca_CA

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Attribution-NonCommercial-ShareAlike 3.0 Spain
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