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A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

The paper recommends a methodology for data gathering and processing through the spatial analysis techniques and the combinatorial multi-criteria procedure of Weighted Linear Combination (WLC). The purpose concerns the spatial problem structuring in a complex decisional context lacking in the geographical dataset. The processing of data and information provided by VGIs and Open Systems is crucial for the enrichment of spatial datasets in these circumstances, but it is advisable to make attention about the data reliability and the known problems of the geographic dataset, i.e. Modifiable Areal Unit Problem (MAUP). The method was tested with the case study of 27 Municipalities around the Partenio Regional Park, in the South of Italy. Within the SDSS, the multidimensional landscape’s indicators were combined with data gathering on the field, in order to build an evolving informative system. A multidimensional approach, focused on the recognition of environmental, social, economic and cultural resources, was chosen providing some strategies of enhancement for the overviewed landscape of the Park. The evaluation of the policy and actions for the examined regions generated scenario-maps through multi-criteria procedures and GIS tools.
Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2016
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana-Maria A.C. Rocha, Carmelo M. Torre, David Taniar, Bernady O. Apduhan, Elena Stankova, Shangguang Wang
PublisherSpringer
Chapter8
Pages111-124
ISBN (Electronic)978-3-319-42089-9
ISBN (Print)978-3-319-42088-2
DOIs
Publication statusPublished - Aug 2016
Event16th International Conference on Computational Science and Its Applications - Beijing, China
Duration: 4 Jul 20167 Jul 2016

Publication series

NameLecture Notes in Computer Science
Volume9789
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Computational Science and Its Applications
Abbreviated titleICCSA 2016
CountryChina
CityBeijing
Period4/07/167/07/16

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