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Authors: Gianni Fenu and Enrico Podda

Affiliation: Department of Computer Science, University of Cagliari, Via Ospedale 72, 09124 Cagliari, Italy

Keyword(s): Complex Networks, Ecological Networks, Ecological Corridors, Connectivity, Graph Analytics.

Abstract: The analysis of large amounts of information and its representation in a simple model has always been one of the main purposes of computer science. The field of territorial study is an excellent example to observe the complexity of the process, from the basic search for information through simple but expensive geometric calculations to the connection that the information itself has concerning the rest of the territory. The study of the natural areas identified by the European project Natura 2000 and their interconnection through the use of ecological corridors is an example of how difficult it can be to define, study and represent a complex problem. In order to simplify the mentioned tasks, allowing specialists to consult valuable data, the paper exposes how ECGraph works. This open source software allows extracting important information from any corridor related to areas of the Natura 2000 project, and can potentially be generalized to any similar case.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Fenu, G. and Podda, E. (2021). ECGraph: A Complex Networks Tool to Classify Critical Points of Ecological Corridors. In Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS; ISBN 978-989-758-505-0; ISSN 2184-5034, SciTePress, pages 47-54. DOI: 10.5220/0010388800470054

@conference{complexis21,
author={Gianni Fenu. and Enrico Podda.},
title={ECGraph: A Complex Networks Tool to Classify Critical Points of Ecological Corridors},
booktitle={Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS},
year={2021},
pages={47-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010388800470054},
isbn={978-989-758-505-0},
issn={2184-5034},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS
TI - ECGraph: A Complex Networks Tool to Classify Critical Points of Ecological Corridors
SN - 978-989-758-505-0
IS - 2184-5034
AU - Fenu, G.
AU - Podda, E.
PY - 2021
SP - 47
EP - 54
DO - 10.5220/0010388800470054
PB - SciTePress