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dc.contributor.authorSCHIAVINA MARCELLOen_GB
dc.contributor.authorCARNEIRO FREIRE SERGIO MANUELen_GB
dc.date.accessioned2017-05-24T00:44:00Z-
dc.date.available2017-05-22en_GB
dc.date.available2017-05-24T00:44:00Z-
dc.date.created2017-05-15en_GB
dc.date.issued2017en_GB
dc.date.submitted2017-05-02en_GB
dc.identifier.isbn978-90-816960-7-4en_GB
dc.identifier.urihttps://agile-online.org/index.php/conference/proceedings/proceedings-2017en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC105799-
dc.description.abstractWhile many analyses require smart and flexible aggregation of adjacent and complex polygons storing quantitative data, this need is not met by tools currently available. In this work we present a new approach and tool that handle minimum mapping unit, resolution mismatch between layers or spatial uncertainty problems in GISc. This tool automatically dissolves polygons below a threshold area, updating fields’ values. The toolbox allows to select polygon areal-analysis ordering (i.e. from the smallest to the biggest, vice versa or order of IDs), different dissolve rules (i.e. with smallest, greatest or maximum-border-share adjacent polygon, minimum total perimeter or maximum compactness) and different field updating (i.e. sum, mean or text concatenation). The approach is illustrated by combining raster-based LandScan population data with vector administrative units to capture the ‘ambient population’ of a set of municipalities in Naples, Italy.en_GB
dc.description.sponsorshipJRC.E.1-Disaster Risk Managementen_GB
dc.format.mediumCD-ROMen_GB
dc.languageENGen_GB
dc.publisherAGILEen_GB
dc.relation.ispartofseriesJRC105799en_GB
dc.titleDevelopment of a new and open approach to dissolve polygons storing count data based on areal thresholden_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Space, Security and Migration

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