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Social Landscape Metrics: Measures for Understanding Place Values from Public Participation Geographic Information Systems (PPGIS)

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  • Gregory Brown
  • Pat Reed

Abstract

Landscape metrics are used in landscape ecology to quantify landscape characteristics related to structure, function and change by quantifying the structure and distributional pattern of landscape elements such as plants, animals and other physical landscape features. To date, there has been little published research on landscape metrics that include social perceptions of landscape. In this paper, we introduce the concept of social landscape metrics that quantify human perceptions of place resulting from the use of public participation geographic information systems (PPGIS). We present and explain a set of social landscape metrics that measure the composition and configuration of human perceptions of landscapes from multiple study areas using empirical data from PPGIS studies. We distinguish between two classes of social landscape metrics, boundary and inductive, present methods to develop them, and describe some of their applications to land use planning and management. We conclude with a discussion of future research needs for advancing knowledge about social landscape metrics.

Suggested Citation

  • Gregory Brown & Pat Reed, 2012. "Social Landscape Metrics: Measures for Understanding Place Values from Public Participation Geographic Information Systems (PPGIS)," Landscape Research, Taylor & Francis Journals, vol. 37(1), pages 73-90.
    • Handle: RePEc:taf:clarxx:v:37:y:2012:i:1:p:73-90
    DOI: 10.1080/01426397.2011.591487
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    Cited by:

    1. Rixt A. Bijker & Nora Mehnen & Frans J. Sijtsma & Michiel N. Daams, 2014. "Managing Urban Wellbeing in Rural Areas: The Potential Role of Online Communities to Improve the Financing and Governance of Highly Valued Nature Areas," Land, MDPI, vol. 3(2), pages 1-23, June.
    2. Isabelle King & John Martin, 2021. "Exploring Public Recognition and Perceived Cultural Value of the Special Qualities within English Areas of Outstanding Natural Beauty," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    3. Kirsten McEwan & Miles Richardson & David Sheffield & Fiona J. Ferguson & Paul Brindley, 2019. "A Smartphone App for Improving Mental Health through Connecting with Urban Nature," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    4. Loc, Ho Huu & Park, Edward & Thu, Tran Ngoc & Diep, Nguyen Thi Hong & Can, Nguyen Trong, 2021. "An enhanced analytical framework of participatory GIS for ecosystem services assessment applied to a Ramsar wetland site in the Vietnam Mekong Delta," Ecosystem Services, Elsevier, vol. 48(C).
    5. Amalia Vaneska Palacio Buendía & Yolanda Pérez-Albert & David Serrano Giné, 2021. "Mapping Landscape Perception: An Assessment with Public Participation Geographic Information Systems and Spatial Analysis Techniques," Land, MDPI, vol. 10(6), pages 1-17, June.
    6. Rocco Scolozzi & Uta Schirpke & Carlo Detassis & Sabah Abdullah & Alessandro Gretter, 2015. "Mapping Alpine Landscape Values and Related Threats as Perceived by Tourists," Landscape Research, Taylor & Francis Journals, vol. 40(4), pages 451-465, May.
    7. Burdon, D. & Potts, T. & McKinley, E. & Lew, S. & Shilland, R. & Gormley, K. & Thomson, S. & Forster, R., 2019. "Expanding the role of participatory mapping to assess ecosystem service provision in local coastal environments," Ecosystem Services, Elsevier, vol. 39(C).
    8. Klain, Sarah C. & Chan, Kai M.A., 2012. "Navigating coastal values: Participatory mapping of ecosystem services for spatial planning," Ecological Economics, Elsevier, vol. 82(C), pages 104-113.
    9. Picchi, Paolo & van Lierop, Martina & Geneletti, Davide & Stremke, Sven, 2019. "Advancing the relationship between renewable energy and ecosystem services for landscape planning and design: A literature review," Ecosystem Services, Elsevier, vol. 35(C), pages 241-259.
    10. Linjun Yu & Xiaotong Zhang & Feng He & Xiaojun Wang, 2022. "Participatory Historical Village Landscape Analysis Using a Virtual Globe-Based 3D PGIS: Guizhou, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    11. Czembrowski, Piotr & Kronenberg, Jakub & Czepkiewicz, Michał, 2016. "Integrating non-monetary and monetary valuation methods – SoftGIS and hedonic pricing," Ecological Economics, Elsevier, vol. 130(C), pages 166-175.
    12. Czepkiewicz Michał & Jankowski Piotr & Zwoliński Zbigniew, 2018. "Geo-questionnaire: a spatially explicit method for eliciting public preferences, behavioural patterns, and local knowledge – an overview," Quaestiones Geographicae, Sciendo, vol. 37(3), pages 177-190, September.
    13. Anne Marel Hilbers & Frans J. Sijtsma & Tim Busscher & Jos Arts, 2022. "Identifying Citizens' Place Values for Integrated Planning of Road Infrastructure Projects," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 113(1), pages 35-56, February.
    14. Brown, Greg, 2013. "The relationship between social values for ecosystem services and global land cover: An empirical analysis," Ecosystem Services, Elsevier, vol. 5(C), pages 58-68.
    15. Isabelle Soares & Gerd Weitkamp & Claudia Yamu, 2020. "Public Spaces as Knowledgescapes: Understanding the Relationship between the Built Environment and Creative Encounters at Dutch University Campuses and Science Parks," IJERPH, MDPI, vol. 17(20), pages 1-30, October.
    16. Federica Gobattoni & Raffaele Pelorosso & Maria Nicolina Ripa & Antonio Leone, 2015. "Percezione e identit? paesaggistica: un?opportunit? di sviluppo per i territori rurali," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3), pages 49-70.

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