Author(s): Popovic, Dejan
Date: 2016
Persistent ID: http://hdl.handle.net/10362/17657
Origin: Repositório Institucional da UNL
Subject(s): Location Analysis; Exploratory Analysis; Self-Organized Maps; Spatial Weighting; Generalized Linear Model; General Additive Model; Predictive Modelling; R; ArcGIS
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
One 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 have shown no change or moderate underestimation in terms of restaurants potentiality.
