The DOI matches its Crossref record.
Integrating GIS and spatial data analysis: problems and possibilities
Abstract
This article is an agreed summary of a workshop held in Sheffield between 18-20 March 1991. The focus here is on three of the themes of the workshop: the mutual benefits of closer links between geographical information systems (GIS) and the methods of spatial data analysis (SDA); the specific areas of SDA that should be linked with GIS; how the linkage should be made in practice. Directions for future research are also reviewed. The emphasis throughout is on statistical SDA and principally from the perspective of human rather than physical geography.
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Citations
Cited by
Haklay, M. (2010) · Environment and Planning B: Planning and Design · doi:10.1068/b35097 · Cited by 1,632
Spatial statistical analysis and geographic information systems
Anselin, L., & Getis, A. (1992) · The Annals of Regional Science · doi:10.1007/bf01581478 · Cited by 341
GIS AND URBAN STUDIES: POSITIVISM, POST-POSITIVISM, AND BEYOND
Sui, D. Z. (1994) · Urban Geography · doi:10.2747/0272-3638.15.3.258 · Cited by 44
Metadata
- Authors
- GOODCHILD, M., HAINING, R., & WISE, S.
- Venue
- International journal of geographical information systems
- Publisher
- Informa UK Limited
- Published
- 1992-09
- Volume
- 6
- Issue
- 5
- Pages
- 407-423
- ISSN
- 0269-3798 (ISSN-L)
- OpenAlex
- W2053095258
- Cited by
- 363
- References
- 0
- FWCI
- 23.24
- Type
- journal article
- 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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How to cite
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- CoChat. (2026). Citation check: Integrating GIS and spatial data analysis: problems and possibilities. https://app.cochat.ai/papers/10.1080/02693799208901923
- The paper
- GOODCHILD, M., HAINING, R., & WISE, S. (1992). Integrating GIS and spatial data analysis: problems and possibilities. International journal of geographical information systems. https://doi.org/10.1080/02693799208901923
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.
