Background information or future vision? Mapping wild reindeer landscapes in a planning process

Eirin Hongslo

Landscape Research, 2017, vol. 42, issue 4, 349-360

Abstract: Despite the importance of maps, both as background information for landscape management and as plans, there is surprisingly little literature on the influence of maps in landscape planning. Following post-representational theory, this paper argues that maps are processual and that understanding the power of maps involves an understanding of their performance. Rather than being a representation, an artefact, an argument or a proposition, a map is a multi-vocal phenomenon that harbours multiple possibilities. During one regional wild reindeer planning process in Norway, a habitat map became surprisingly powerful. By combining a visual analysis of the map and an intertextual analysis of planning documents and interviews with relevant actors, I show how their visual traits convey social structures, which cater to the maps’ performative potential. Understanding the varied ways maps are used in political processes may aid our understanding of their power, and possibly of the political outcomes of the same processes.

Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/01426397.2017.1290224 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:clarxx:v:42:y:2017:i:4:p:349-360

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/clar20

DOI: 10.1080/01426397.2017.1290224

Access Statistics for this article

Landscape Research is currently edited by Dr Anna Jorgensen

More articles in Landscape Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().