Research output per year
Research output per year
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Dive into the research topics where Stewart Fotheringham is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Comment on “A Route Map for Successful Applications of Geographically-Weighted Regression”: The Alternative Expressway to Defensible Regression-Based Local Modeling
Fotheringham, A. S., Jan 2023, In: Geographical Analysis. 55, 1, p. 191-197 7 p.Research output: Contribution to journal › Comment/debate › peer-review
Open Access2 Scopus citations -
Activity triangles: a new approach to measure activity spaces
Sila-Nowicka, K., Fotheringham, A. S. & Demšar, U., 2023, (Accepted/In press) In: Journal of Geographical Systems.Research output: Contribution to journal › Article › peer-review
Open Access -
A geographical perspective on Simpson’s paradox
Sachdeva, M. & Fotheringham, A. S., 2023, In: Journal of Spatial Information Science. 26, p. 1-25 25 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Digital twins: The current “Krays” of urban analytics?
Fotheringham, A. S., May 2023, In: Environment and Planning B: Urban Analytics and City Science. 50, 4, p. 1020-1022 3 p.Research output: Contribution to journal › Comment/debate › peer-review
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Measuring the Unmeasurable: Models of Geographical Context
Fotheringham, A. S. & Li, Z., 2023, (Accepted/In press) In: Annals of the American Association of Geographers.Research output: Contribution to journal › Article › peer-review
Open Access
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Revisiting Traditional Problems in Spatial Analysis through the Lens of Local Modeling
National Science Foundation (NSF)
10/1/21 → 9/30/25
Project: Research project
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The Measurement of Scale and Process Heterogeneity through Local Multivariate Models
National Science Foundation (NSF)
4/1/18 → 9/30/21
Project: Research project
Datasets
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Computational improvements to multi-scale geographically weighted regression
Fotheringham, S. (Contributor) & Li, Z. (Contributor), figshare Academic Research System, Jul 2 2020
DOI: 10.6084/m9.figshare.11821449.v1, https://doi.org/10.6084%2Fm9.figshare.11821449.v1
Dataset