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Cited by 532

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

A Measurement Theory for Time Geography

Miller, Harvey J.·2005·Geographical Analysis

Abstract

Hägerstrand's time geography is a powerful conceptual framework for understanding constraints on human activity participation in space and time. However, rigorous, analytical definitions of basic time geography entities and relationships do not exist. This limits abilities to make statements about error and uncertainty in time geographic measurement and analysis. It also compromises comparison among different time geographic analyses and the development of standard time geographic computational tools. The time geographic measurement theory in this article consists of analytical formulations for basic time geography entities and relations, specifically, the space–time path, prism, composite path‐prisms, stations, bundling, and intersections. The definitions have arbitrary spatial and temporal resolutions and are explicit with respect to informational assumptions: there are clear distinctions between measured and inferred components of each entity or relation. They are also general to n‐dimensional space rather than the strict two‐dimensional space of classical time geography. Algebraic solutions are available for one or two spatial dimensions, while numeric (but tractable) solutions are required for some entities and relations in higher dimensional space.

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Metadata

Authors
Miller, H. J.
Venue
Geographical Analysis
Publisher
Wiley
Published
2004-12-21
Volume
37
Issue
1
Pages
17-45
ISSN
  • 0016-7363 (ISSN-L)
  • 1538-4632
OpenAlex
W1982473893
Cited by
532
References
33
FWCI
46.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Measurement Theory for Time Geography. https://app.cochat.ai/papers/10.1111/j.1538-4632.2005.00575.x
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Miller, H. J. (2005). A Measurement Theory for Time Geography. Geographical Analysis. https://doi.org/10.1111/j.1538-4632.2005.00575.x

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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.