Landscape evaluation of heterogeneous areas using fuzzy sets

Landscape evaluation is an interesting field for fuzzy approaches, because it happens on the transition line between natural and social systems. Both are very complex. Therefore, transformation of scientific results to politically significant statements on environmental problems demands intelligent...

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Autor principal:	Ralf-Uwe Syrbe
Formato:	article
Lenguaje:	DE EN FR IT PT
Publicado:	Unité Mixte de Recherche 8504 Géographie-cités 1998
Materias:	landscape evaluation fuzzy sets erosion Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/e472f099e66c4a6089655508d3b41b5f
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id	oai:doaj.org-article:e472f099e66c4a6089655508d3b41b5f
record_format	dspace
spelling	oai:doaj.org-article:e472f099e66c4a6089655508d3b41b5f2021-12-02T11:11:41ZLandscape evaluation of heterogeneous areas using fuzzy sets1278-336610.4000/cybergeo.1564https://doaj.org/article/e472f099e66c4a6089655508d3b41b5f1998-02-01T00:00:00Zhttp://journals.openedition.org/cybergeo/1564https://doaj.org/toc/1278-3366Landscape evaluation is an interesting field for fuzzy approaches, because it happens on the transition line between natural and social systems. Both are very complex. Therefore, transformation of scientific results to politically significant statements on environmental problems demands intelligent support. Particularly landscape planners need methods to gather natural facts of an area and assess them in consideration of its meaning to society as a whole. Since each land unit is heterogeneous, a special methodology is necessary. Such an evaluation technique was developed within a Geographical Information System (ARC/INFO). The methodology combines several known methods with fuzzy approaches to catch the intrinsic fuzziness of ecological systems as well as the heterogeneity of landscape. Additionally, a way will be discussed to vary the fuzzy inference in order to consider spatial relations of various landscape elements. Fuzzy logic is used to process the data uncertainty, to simulate the vagueness of knowledge about ecological functionality, and to model the spatial structure of landscape. Fuzzy sets describe the attributes of thematically defined land units and their assessment results. In this way, the available information will be preserved in their full diversity. The fuzzy operations are executed by AML-programs (ARC/INFO Macro Language). With such a tight coupling, it is possible to use the geographical functions (neighbourhoods, distances, etc.) of GIS within the fuzzy system directly.Ralf-Uwe SyrbeUnité Mixte de Recherche 8504 Géographie-citésarticlelandscape evaluationfuzzy setserosionGeography (General)G1-922DEENFRITPTCybergeo (1998)
institution	DOAJ
collection	DOAJ
language	DE EN FR IT PT
topic	landscape evaluation fuzzy sets erosion Geography (General) G1-922
spellingShingle	landscape evaluation fuzzy sets erosion Geography (General) G1-922 Ralf-Uwe Syrbe Landscape evaluation of heterogeneous areas using fuzzy sets
description	Landscape evaluation is an interesting field for fuzzy approaches, because it happens on the transition line between natural and social systems. Both are very complex. Therefore, transformation of scientific results to politically significant statements on environmental problems demands intelligent support. Particularly landscape planners need methods to gather natural facts of an area and assess them in consideration of its meaning to society as a whole. Since each land unit is heterogeneous, a special methodology is necessary. Such an evaluation technique was developed within a Geographical Information System (ARC/INFO). The methodology combines several known methods with fuzzy approaches to catch the intrinsic fuzziness of ecological systems as well as the heterogeneity of landscape. Additionally, a way will be discussed to vary the fuzzy inference in order to consider spatial relations of various landscape elements. Fuzzy logic is used to process the data uncertainty, to simulate the vagueness of knowledge about ecological functionality, and to model the spatial structure of landscape. Fuzzy sets describe the attributes of thematically defined land units and their assessment results. In this way, the available information will be preserved in their full diversity. The fuzzy operations are executed by AML-programs (ARC/INFO Macro Language). With such a tight coupling, it is possible to use the geographical functions (neighbourhoods, distances, etc.) of GIS within the fuzzy system directly.
format	article
author	Ralf-Uwe Syrbe
author_facet	Ralf-Uwe Syrbe
author_sort	Ralf-Uwe Syrbe
title	Landscape evaluation of heterogeneous areas using fuzzy sets
title_short	Landscape evaluation of heterogeneous areas using fuzzy sets
title_full	Landscape evaluation of heterogeneous areas using fuzzy sets
title_fullStr	Landscape evaluation of heterogeneous areas using fuzzy sets
title_full_unstemmed	Landscape evaluation of heterogeneous areas using fuzzy sets
title_sort	landscape evaluation of heterogeneous areas using fuzzy sets
publisher	Unité Mixte de Recherche 8504 Géographie-cités
publishDate	1998
url	https://doaj.org/article/e472f099e66c4a6089655508d3b41b5f
work_keys_str_mv	AT ralfuwesyrbe landscapeevaluationofheterogeneousareasusingfuzzysets
_version_	1718396201950248960

Landscape evaluation of heterogeneous areas using fuzzy sets

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