Applying evolutionary algorithm for the study of mental disorder prevalence: the case of the
Barcelona metropolitan area.

dc.contributor.author	Salinas Pérez, José Alberto
dc.contributor.author	Rodero Cosano, María Luisa
dc.contributor.author	García Alonso, Carlos
dc.date.accessioned	2019-02-04T15:15:42Z
dc.date.available	2019-02-04T15:15:42Z
dc.date.issued	2013
dc.identifier.uri	http://hdl.handle.net/20.500.12412/532
dc.description.abstract	The spatial data analysis is a methodology which is widely used to study geographic patterns of diseases. Some of the most popular and effective tools are Local Indicators of Spatial Association. Among these, highlight Moran’s I and Getis &Ord’s G.
dc.language.iso	spa	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title	Applying evolutionary algorithm for the study of mental disorder prevalence: the case of the Barcelona metropolitan area.	es
dc.type	conferenceObject	es
dc.identifier.conferenceObject	6th Seminar Jean Paelinck of Spatial Econometrics	es
dc.rights.accessRights	openAccess	es

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional