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Surface Collection, Sampling, and Research Design: A Retrospective
Abstract
Probability sampling, controlled surface collecting, and explicit research designs are standard working procedures for a large portion of the archaeological profession. The need for adopting these approaches and their utility in the field have been persuasively argued in the literature for 20 years. Despite their agreed-upon utility, these approaches are often poorly understood. Field strategies of four projects and their rationales are presented to provide examples of specific approaches that have had positive results. Based on these case studies and a review of the literature, I propose six basic principles as guides to the formulation of future field strategies. The researcher must define interpretive objectives, specify minimal data requirements, understand the problems of data recognition, structure the flow of research and evaluation, choose appropriate tools for each stage of research, and maintain cost effectiveness.
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The ability to estimate spatial variation measured on archaeological variables would have been useful in selecting sampling strategies and for placing test excavation units.
“The ability to estimate spatial variation measured on archaeological variables would have been useful in selecting the sampling strategies and for placing test excavation units (Hodder and Orton 1976;Redman 1987).”
From Flexibility by design: how mobile GIS meets the needs of archaeological survey (2004) · cites this paper as Redman 1987
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Cited by
Sorted by citations
Flexibility by design: how mobile GIS meets the needs of archaeological survey
Tripcevich, N. (2004) · Cartography and Geographic Information Science · doi:10.1559/1523040042246025 · Cited by 38
Metadata
- Authors
- Redman, C. L.
- Venue
- American Antiquity
- Publisher
- Cambridge University Press (CUP)
- Published
- 1987-04
- Volume
- 52
- Issue
- 2
- Pages
- 249-265
- ISSN
- 0002-7316
- 2325-5064
- Cited by
- 33
- References
- 0
- Language
- en
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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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