Skip navigation

Incompleteness: landscapes, cartographies, citizenships

Incompleteness: landscapes, cartographies, citizenships

Wall, Ed (2021) Incompleteness: landscapes, cartographies, citizenships. Landscape Research. ISSN 0142-6397 (Print), 1469-9710 (Online) (In Press) (doi:

PDF (Open Access Article)
32852 WALL_Incompleteness_Landscapes_Cartographies_Citizenships_(OA)_2021.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (7MB) | Preview


Landscapes as dynamic relations between people and worlds are always incomplete. They are partial understandings, evolving knowledges, edited images and unfinished stories of our designed and undesigned environments. Gaps within and between landscapes can reveal histories omitted and individuals silenced, but this open-endedness of landscapes can also provide opportunities to contribute and participate. In this paper I explore how landscapes are always under construction and I argue that their incompleteness offers potential for new practices. I question, how traditions of mapping can reflect dynamic realities of landscapes; how design and representational practices that attempt to fix time and complete space can work with incompleteness; and how designers and researchers can embrace such landscapes as open-ended, collective endeavours. In this paper, I discuss a mapping project called ‘Incomplete Cartographies’—an experiment with in-progress cartographies, incrementally informed by situated narratives, and producing new forms of belonging.

Item Type: Article
Uncontrolled Keywords: incomplete, landscape, cartography, mapping, situating, citizenships, belonging, drawing, design, architecture
Subjects: N Fine Arts > NA Architecture
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Architecture and Landscape Research and Enterprise
Faculty of Liberal Arts & Sciences > School of Design (DSC)
Last Modified: 21 Jun 2021 15:29
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics