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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

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A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy). / Cerreta, Maria; Panaro, Simona; Poli, Giuliano.

Computational Science and Its Applications - ICCSA 2016. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Ana-Maria A.C. Rocha; Carmelo M. Torre; David Taniar; Bernady O. Apduhan; Elena Stankova; Shangguang Wang. Springer, 2016. p. 111-124 (Lecture Notes in Computer Science; Vol. 9789).

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

Harvard

Cerreta, M, Panaro, S & Poli, G 2016, A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy). in O Gervasi, B Murgante, S Misra, A-MAC Rocha, CM Torre, D Taniar, BO Apduhan, E Stankova & S Wang (eds), Computational Science and Its Applications - ICCSA 2016. Lecture Notes in Computer Science, vol. 9789, Springer, pp. 111-124, 16th International Conference on Computational Science and Its Applications, Beijing, China, 4/07/16. https://doi.org/10.1007/978-3-319-42089-9_8

APA

Cerreta, M., Panaro, S., & Poli, G. (2016). A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy). In O. Gervasi, B. Murgante, S. Misra, A-M. A. C. Rocha, C. M. Torre, D. Taniar, B. O. Apduhan, E. Stankova, & S. Wang (Eds.), Computational Science and Its Applications - ICCSA 2016 (pp. 111-124). (Lecture Notes in Computer Science; Vol. 9789). Springer. https://doi.org/10.1007/978-3-319-42089-9_8

Vancouver

Cerreta M, Panaro S, Poli G. A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy). In Gervasi O, Murgante B, Misra S, Rocha A-MAC, Torre CM, Taniar D, Apduhan BO, Stankova E, Wang S, editors, Computational Science and Its Applications - ICCSA 2016. Springer. 2016. p. 111-124. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-42089-9_8

Author

Cerreta, Maria ; Panaro, Simona ; Poli, Giuliano. / A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy). Computational Science and Its Applications - ICCSA 2016. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Ana-Maria A.C. Rocha ; Carmelo M. Torre ; David Taniar ; Bernady O. Apduhan ; Elena Stankova ; Shangguang Wang. Springer, 2016. pp. 111-124 (Lecture Notes in Computer Science).

Bibtex

@inproceedings{fbb87c2103b44aef8cfc233d402d3e0d,
title = "A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy)",
abstract = "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{\textquoteright}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. ",
keywords = "Landscape , Spatial Decision Support System (SDSS), Volunteered Geographic Information (VGIs), Weighted Linear Combination (WLC), Spatial multi-criteria analysis",
author = "Maria Cerreta and Simona Panaro and Giuliano Poli",
note = "***POST PRINT NO LONGER AVAILABLE*** ; 16th International Conference on Computational Science and Its Applications, ICCSA 2016 ; Conference date: 04-07-2016 Through 07-07-2016",
year = "2016",
month = aug,
doi = "10.1007/978-3-319-42089-9_8",
language = "English",
isbn = "978-3-319-42088-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "111--124",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Rocha, {Ana-Maria A.C.} and Torre, {Carmelo M.} and David Taniar and Apduhan, {Bernady O.} and Elena Stankova and Shangguang Wang",
booktitle = "Computational Science and Its Applications - ICCSA 2016",

}

RIS

TY - GEN

T1 - A knowledge-based approach for the implementation of a SDSS in the Partenio Regional Park (Italy)

AU - Cerreta, Maria

AU - Panaro, Simona

AU - Poli, Giuliano

N1 - ***POST PRINT NO LONGER AVAILABLE***

PY - 2016/8

Y1 - 2016/8

N2 - 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.

AB - 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.

KW - Landscape

KW - Spatial Decision Support System (SDSS)

KW - Volunteered Geographic Information (VGIs)

KW - Weighted Linear Combination (WLC)

KW - Spatial multi-criteria analysis

UR - http://2016.iccsa.org/

UR - http://www.unina.it

U2 - 10.1007/978-3-319-42089-9_8

DO - 10.1007/978-3-319-42089-9_8

M3 - Conference contribution

SN - 978-3-319-42088-2

T3 - Lecture Notes in Computer Science

SP - 111

EP - 124

BT - Computational Science and Its Applications - ICCSA 2016

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Rocha, Ana-Maria A.C.

A2 - Torre, Carmelo M.

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Stankova, Elena

A2 - Wang, Shangguang

PB - Springer

T2 - 16th International Conference on Computational Science and Its Applications

Y2 - 4 July 2016 through 7 July 2016

ER -

ID: 8740138