The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Trends in quantitative methods I: stressing the local
Abstract
In this, the first of three reports on current trends in quantitative geography, I explore the recent and potentially powerful movement within spatial analysis where the focus of attention is on identifying and understanding dierences across space rather than similarities. The movement encompasses the dissection of global statistics into their local
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2005) · Technometrics · doi:10.1198/tech.2005.s303 · Cited by 17,923
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,796
Local Indicators of Spatial Association—LISA
Anselin, L. (1995) · Geographical Analysis · doi:10.1111/j.1538-4632.1995.tb00338.x · Cited by 12,919
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594
On Estimation of a Probability Density Function and Mode
Parzen, E. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704472 · Cited by 10,585
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,525
The Analysis of Spatial Association by Use of Distance Statistics
Getis, A., & Ord, J. K. (1992) · Geographical Analysis · doi:10.1111/j.1538-4632.1992.tb00261.x · Cited by 6,276
Hahn, G. J., Draper, N., & Smith, H. (1982) · Technometrics · doi:10.2307/1267833 · Cited by 5,773
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Cleveland, W. S., & Devlin, S. J. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478639 · Cited by 5,742
Local Spatial Autocorrelation Statistics: Distributional Issues and an Application
Ord, J. K., & Getis, A. (1995) · Geographical Analysis · doi:10.1111/j.1538-4632.1995.tb00912.x · Cited by 3,650
Cited by
A comparison of methods for the statistical analysis of spatial point patterns in plant ecology
Perry, G. L. W., Miller, B. P., & Enright, N. J. (2006) · Plant Ecology · doi:10.1007/s11258-006-9133-4 · Cited by 386
Metadata
- Authors
- Fotheringham, A. S.
- Venue
- Progress in Human Geography
- Publisher
- SAGE Publications
- Published
- 1997-02
- Volume
- 21
- Issue
- 1
- Pages
- 88-96
- ISSN
- 0309-1325 (ISSN-L)
- 1477-0288
- OpenAlex
- W2007249893
- Cited by
- 276
- References
- 35
- FWCI
- 13.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Trends in quantitative methods I: stressing the local. https://app.cochat.ai/papers/10.1191/030913297676693207
- The paper
- Fotheringham, A. S. (1997). Trends in quantitative methods I: stressing the local. Progress in Human Geography. https://doi.org/10.1191/030913297676693207
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.