The DOI matches its Crossref record.
Nature
Abstract
Exploring the shifting ways in which geographers have studied nature, this book emphasizes the relationships and differences between human geography, physical geography and resource and hazards geography. The first to consider the topic of nature in modern geography as a whole, this distinctive text looks at all its major meanings, from the human body and psyche through to the non-human world, and develops the argument that student readers should abandon the idea of knowing what nature is in favour of a close scrutiny of what agendas lie behind competing conceptions of it. It deals with, amongst others, the following areas: the idea of nature the 'nature' of geography de-naturalization and re-naturalization after-nature. As everything from global warming to GM foods becomes headline news, the use and abuse of nature is on the agenda as never before. Synthesizing a wealth of diverse and complex information, this text makes the significant theories, debates and information on nature accessible to students of geography, environmental studies, sociology, and cultural studies.
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Citations
Cited by
Connectivity as a multiple: In, with and as “nature”
Hodgetts, T. (2018) · Area · doi:10.1111/area.12353 · Cited by 19
Lively water infrastructure: Constructed wetlands in more-than-human waterscapes
Hurst, E., Ellis, R., & Karippal, A. B. (2025) · Environment and Planning E: Nature and Space · doi:10.1177/25148486221113712 · Cited by 19
Metadata
- Authors
- Castree, N.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2005-11-17
- OpenAlex
- W4234879328
- Cited by
- 313
- References
- 0
- FWCI
- 17.82
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- Castree, N. (2005). Nature. Routledge eBooks. https://doi.org/10.4324/9780203448410
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
