Cited by 391Geographic Information Systems StudiesBig Data Technologies and ApplicationsHuman Mobility and Location-Based Analysis

Data-driven geography

Miller, Harvey J., Goodchild, Michael F.·2015·GeoJournal

Integrity signals

Registry

Crossref · 10.1007/s10708-014-9602-6

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Miller, H. J., & Goodchild, M. F.
Affiliations
  • The Ohio State University (US)
  • University of California, Santa Barbara (US)
Corresponding author
  • Miller, Harvey J.
  • Goodchild, Michael F.
Venue
GeoJournal
Published
2014-10-10
Volume
80
Issue
4
Pages
449-461
ISSN
  • 0343-2521 (ISSN-L)
  • 1572-9893
OpenAlex
W2006047816
Cited by
391
References
69
Citations by year
2026: 22 · 2025: 19 · 2024: 23 · 2023: 20 · 2022: 32 · 2021: 36 · 2020: 54 · 2019: 60 · 2018: 46 · 2017: 41 · 2016: 21 · 2015: 12 · 2014: 1 · 2013: 1
FWCI
176.84
Type
journal article
Language
en
Open access
closed
Locations
GeoJournal (publishedVersion)
Topics
  • Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords
big data, georeferenced records, sensor data, messy data, spatial context, time geography, geographic information science, geographic knowledge discovery, spatial modeling, data cleaning, spurious patterns, model interpretability

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 ›

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