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dc.contributor.advisorCattrysse, Dirk-
dc.contributor.advisorDe Schreye, Danielen_US
dc.contributor.authorVanegas Peralta, Pablo Fernando-
dc.date.accessioned2022-03-31T17:54:24Z-
dc.date.available2022-03-31T17:54:24Z-
dc.date.issued2010-09-02-
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/38733-
dc.description.abstractEnvironmental conservation and land use planning usually need to automatically identify geographical sites satisfying particular criteria. The identification of sites becomes more complex when spatial configurations of the sites are part of the requirements since topological relations need to be considered in the analysis of digital geographical data. The present research develops heuristic methods and mathematical approaches to automatically identify contiguous and compact sites to be afforested. In addition to spatial configurations, other criteria related to the identification of sites are part of this research: maximization of environmental performance, sediment fow reduction by means of afforestation of compact sites and budget restrictions in afforestation. One of the results of the AFFOREST project (EU 5th Framework Programme for Research and Technological Development) was a Decision Support System (DSS) that is capable to identify high quality sites to be afforested (transformation of agricultural land into forest). Those sites maximize the Environmental Performance (EP) in terms of three Environmental Impact Categories (EIC): carbon sequestration to be maximized, nitrate leaching to be minimized and ground water recharge to be maximized. To this end every EIC is represented by means of a map composed by a grid of cells (raster map), hence the objective is to identify a site made up of a subset of cells maximizing the EP. The cells identified by means of the AFFORESTDSS form a fragmented site, nevertheless it is also useful to identify sites that are contiguous and compact. Compactness facilitates to articulate efficient policies to manage the afforested areas, in order t0 achieve not only environmental but also economical benefits. This research develops new approaches to locate compact sites for maximizing EP.en_US
dc.formatapplication/pdfen_US
dc.format.extent157 páginasen_US
dc.language.isoengen_US
dc.publisherKatholieke Universiteit Leuvenen_US
dc.relation.ispartofseriesTPHD;10-
dc.relation.isversionofKatholieke Universiteit Leuvenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIngeniería en Sistemasen_US
dc.subjectMapas digitalesen_US
dc.subjectÁreas forestalesen_US
dc.subjectRastreo digitalen_US
dc.subject.otherAplicación geoespacialen_US
dc.titleA spatially explicit approach to the site location problem in raster maps with application to afforestation (Een ruimtelijk expliciete aanpak voor het locatieprobleem in rasterkaarten met toepassing op bebossing)en_US
dc.typedoctoralThesisen_US
dc.description.degreeDoctor en Ingenieríaen_US
dc.description.cityLeuvenen_US
dc.ucuenca.idautor0102274891en_US
dc.ucuenca.versionpublishedVersionen_US
dc.ucuenca.areaconocimientounescoamplio33 Ciencias Tecnológicasen_US
dc.ucuenca.correspondenciapbl.vngs@gmail.comen_US
dc.ucuenca.areaconocimientounescoespecifico3304 Tecnología de los Ordenadoresen_US
dc.ucuenca.areaconocimientounescodetallado3304.17 Sistemas en Tiempo Realen_US
dc.ucuenca.urifuentehttps://www.kuleuven.be/doctoraatsverdediging/fiches/3E09/3E090033.htmen_US
dc.ucuenca.titulouniformeA Spatially Explicit Approach to the Site Location Problem in Raster Maps with Application to Afforestation (Een ruimtelijk expliciete aanpak voor het locatieprobleem in rasterkaarten met toepassing op bebossing)en_US
dc.rights.accessRightsopenAccessen_US
dc.ucuenca.responsablerecepcionNaula Morocho María de Lourdesen_US
dc.audience.educationLevelTesis de Doctorado (PHD) en Ingenieríaen_US
Appears in Collections:Tesis Doctoral/PHD

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