Ropero, R.F.; Maldonado, A.D.; Uusitalo, L.; Salmerón, A.; Rumí, R.; Aguilera, P.A. A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks. Agronomy 2021, 11, 740. https://doi.org/10.3390/agronomy11040740
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Title: | A soft clustering approach to detect socio-ecological landscape boundaries using bayesian networks |
Author: | Ropero, Rosa F.; Maldonado, Ana D.; Uusitalo, Laura; Salmerón, Antonio; Rumí, Rafael; Aguilera, Pedro A. |
Publisher: | MDPI AG |
Date: | 2021 |
Language: | en |
Belongs to series: | Agronomy 11(4), 740 |
ISSN: | 2073-4395 |
DOI: | https://doi.org/10.3390/agronomy11040740 |
URI: | http://hdl.handle.net/10138/332344 |
Abstract: | Detecting socio-ecological boundaries in traditional rural landscapes is very important for the planning and sustainability of these landscapes. Most of the traditional methods to detect ecological boundaries have two major shortcomings: they are unable to include uncertainty, and they often exclude socio-economic information. This paper presents a new approach, based on unsupervised Bayesian network classifiers, to find spatial clusters and their boundaries in socio-ecological systems. As a case study, a Mediterranean cultural landscape was used. As a result, six socio-ecological sectors, following both longitudinal and altitudinal gradients, were identified. In addition, different socio-ecological boundaries were detected using a probability threshold. Thanks to its probabilistic nature, the proposed method allows experts and stakeholders to distinguish between different levels of uncertainty in landscape management. The inherent complexity and heterogeneity of the natural landscape is easily handled by Bayesian networks. Moreover, variables from different sources and characteristics can be simultaneously included. These features confer an advantage over other traditional techniques. |
Subject: |
boundary detection
Mediterranean cultural landscape socio-ecosystems Bayesian networks clustering Bayesian analysis landscape planning landscape management climate changes landscape sustainable development |
Subject (ysa): |
bayesilainen menetelmä
kulttuuriekologia maisemat maisemanhoito kestävä kehitys sosio-ekosysteemit Välimeri kulttuurimaisema klusterointi |
Rights: | CC BY 4.0 |