Analysis of Environmental Fragility using multi-criteria analysis (MCE) for Integrated Landscape Assessment

PROPOSAL AND ANALYSIS OF ENVIRONMENTAL FRAGILITY MODEL USING MULTICRITERIA ANALYSIS AND FUZZY LOGIC FOR INTEGRATED LANDSCAPE MAPPING

 

  • Abimael Cereda Junior
  • Sergio Antonio Röhm
DOI: https://doi.org/10.4090/juee.2014.v8n1.28-37
Keywords: environmental fragility, multicriteria analysis, geographic information systems
ABSTRACT

Geographic Information Systems are able to represent and interpret the Landscape, and with greater possibilities using Integrated Analysis, however, there is not only a technical need but also methodological to achieve this in the computational field. Thus, the maximum consolidated stating that geometries are not geographies needs to be more than simply verifying the limitations inherent in Computer Modeling, analyzing and proposing methodologies that overcome the paradigm of overlapping layers, the initial loss of complex integration and inseparability of criteria and factors for Environmental Analysis. The present work, based on ecodynamics and the empirical analysis of the fragility of the natural and anthropogenic environments, proposes and submits an Environmental Fragility Model integrated into the paradigm of Multicriteria Analysis and Fuzzy Logic. The case study is part of the Monjolinho Basin in São Carlos – SP, Brazil. The use of this methodology enabled to decrease the influence of decision-making criteria, in which the factors embodied their cartographic expression, respecting the integrated landscape complex.

Download “(JUEE) Analysis of Environmental Fragility using multi-criteria analysis (MCE) for Integrated Landscape Assessment” CEREDA-JUNIOR-A.ROHM-S.A.Analysis-of-Environmental-Fragility-using-multi-criteria-analysis-MCE-for-Integrated-Landscape-Assessment.pdf – Downloaded 30 times – 1,08 MB

 

| Transformação Digital Territorial |

Privacy Overview
Geografia das Coisas

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.