Publications (FIS)

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

A river landscape application

authored by: Sina Röing, Sarah Gottwald, Johannes Hermes, Stefan Schmidt, Christian Albert
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.
Organisation(s): Institute of Environmental Planning
External Organisation(s): Ruhr-Universität Bochum
Type: Article
Journal: Ecosystems and People
Volume: 17
Pages: 358-369
No. of pages: 12
ISSN: 2639-5908
Publication date: 07.07.2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Management, Monitoring, Policy and Law
Sustainable Development Goals: SDG 3 - Good Health and Well-being
Electronic version(s): https://doi.org/10.1080/26395916.2021.1944912 (Access: Open)

BibTeX

@article{c5cc6f948c91447fa7f43bd8c7e674ce,
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, geographic information system, hesse, impairments, Lahn river, landscape aesthetics, landscape character",
author = "Sina R{\"o}ing and Sarah Gottwald and Johannes Hermes and Stefan Schmidt and Christian Albert",
note = "Funding Information: This research was conducted in association with the PlanSmart research group, funded by the German Ministry for Education and Research (Bundesministerium f?r Bildung und Forschung - BMBF), funding code: 01UU1601A and B. The Graduate Academy of the Leibniz University Hannover (Leibniz Universit?t Hannover) supported the data assessment (project number 60470376). This research was conducted in association with the PlanSmart research group, funded by the German Ministry for Education and Research (Bundesministerium f?r Bildung und Forschung - BMBF), funding code: 01UU1601A and B. The Graduate Academy of the Leibniz University Hannover (Leibniz Universit?t Hannover) supported the data assessment (project number 60470376). We thank all participants of the survey. Finally yet importantly, we thank the anonymous reviewers and the editor for the constructive feedback.",
year = "2021",
month = jul,
day = "7",
doi = "10.1080/26395916.2021.1944912",
language = "English",
volume = "17",
pages = "358--369",
journal = "Ecosystems and People",
issn = "2639-5908",
publisher = "Taylor and Francis Ltd.",
number = "1",
}