Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application

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dc.identifier.uri http://dx.doi.org/10.15488/15747
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/15871
dc.contributor.author Röing, Sina
dc.contributor.author Gottwald, Sarah
dc.contributor.author Hermes, Johannes
dc.contributor.author Schmidt, Stefan
dc.contributor.author Albert, Christian
dc.date.accessioned 2023-12-14T06:39:39Z
dc.date.available 2023-12-14T06:39:39Z
dc.date.issued 2021
dc.identifier.citation Röing, S.; Gottwald, S.; Hermes, J.; Schmidt, S.; Albert, C.: Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application. In: Ecosystems and People 17 (2021), Nr. 1, S. 358-369. DOI: https://doi.org/10.1080/26395916.2021.1944912
dc.description.abstract This paper explores the visual, acoustic and olfactory impairments to landscape aesthetic quality in a river landscape case study, using hard- and soft-GIS approaches. The research objectives are (1) to develop a model that localizes the spatial distribution of areas likely perceived as unpleasant and assesses the intensity of visual, acoustic and olfactory impairments in those areas by using a hard-GIS method, and (2) to test the statistical validity of the model based on results gained from a soft GIS method. The case study area is the Lahn river landscape, Germany. Results show a substantial share of the study area affected by modelled impairments, especially areas close to urban environments and along rivers. The area affected by impairments is highest for visual (91%), followed by acoustic (84%) and olfactory factors (54%). However, impairment intensities are greatest for acoustics (30% of study area) and visual (18%). Soft-GIS data tests revealed statistical defensibility of modeled impaired areas. The results highlight the importance of disaggregate analyses of impairments and can provide information on suitable locations for interventions to minimize impairments. Combining hard-GIS with soft-GIS methods may contribute to the credibility, relevance and legitimacy of scientific findings for planning processes and decision-making. eng
dc.language.iso eng
dc.publisher London [u.a.] : Taylor & Francis
dc.relation.ispartofseries Ecosystems and People 17 (2021), Nr. 1
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject geographic information system eng
dc.subject hesse eng
dc.subject impairments eng
dc.subject Lahn river eng
dc.subject landscape aesthetics eng
dc.subject landscape character eng
dc.subject.ddc 570 | Biowissenschaften, Biologie
dc.title Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application eng
dc.type Article
dc.type Text
dc.relation.essn 2639-5916
dc.relation.issn 2639-5908
dc.relation.doi https://doi.org/10.1080/26395916.2021.1944912
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 17
dc.bibliographicCitation.firstPage 358
dc.bibliographicCitation.lastPage 369
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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