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

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Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application. / Röing, Sina; Gottwald, Sarah; Hermes, Johannes et al.
In: Ecosystems and People, Vol. 17, No. 1, 01.01.2021, p. 358-369.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Röing S, Gottwald S, Hermes J, Schmidt S, Albert C. Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application. Ecosystems and People. 2021 Jan 1;17(1):358-369. doi: 10.1080/26395916.2021.1944912

Bibtex

@article{c98c5848aa914b6c849e63bde9d09d68,
title = "Spatially assessing unpleasant places with hard- and soft-GIS methods: a river landscape application",
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.",
keywords = "Christine F{\"u}rst, Lahn river, geographic information system, hesse, impairments, landscape aesthetics, landscape character, Geography, Environmental planning",
author = "Sina R{\"o}ing and Sarah Gottwald and Johannes Hermes and Stefan Schmidt and Christian Albert",
note = "Publisher Copyright: {\textcopyright} 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2021",
month = jan,
day = "1",
doi = "10.1080/26395916.2021.1944912",
language = "English",
volume = "17",
pages = "358--369",
journal = "Ecosystems and People",
issn = "2639-5908",
publisher = "Taylor & Francis",
number = "1",

}

RIS

TY - JOUR

T1 - Spatially assessing unpleasant places with hard- and soft-GIS methods

T2 - a river landscape application

AU - Röing, Sina

AU - Gottwald, Sarah

AU - Hermes, Johannes

AU - Schmidt, Stefan

AU - Albert, Christian

N1 - Publisher Copyright: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - 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.

AB - 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.

KW - Christine Fürst

KW - Lahn river

KW - geographic information system

KW - hesse

KW - impairments

KW - landscape aesthetics

KW - landscape character

KW - Geography

KW - Environmental planning

UR - https://www.mendeley.com/catalogue/347cbf4c-30e5-348e-8d78-225c43e15ef3/

UR - http://www.scopus.com/inward/record.url?scp=85109358964&partnerID=8YFLogxK

U2 - 10.1080/26395916.2021.1944912

DO - 10.1080/26395916.2021.1944912

M3 - Journal articles

VL - 17

SP - 358

EP - 369

JO - Ecosystems and People

JF - Ecosystems and People

SN - 2639-5908

IS - 1

ER -