Evidence map›Paper›PMID 42422056›Full record

ArticleProgress in human geography2026

Cartographic privacy: Case studies in communicating sensitive geospatial information.

David Swanlund, Nadine Schuurman, Michael Martin, Mariana Brussoni

Abstract read
In one paragraph

Article in Progress in human geography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

David SwanlundDepartment of Geography, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0003-2587-6845
Nadine SchuurmanDepartment of Geography, Simon Fraser University, Burnaby, Canada.ORCID https://orcid.org/0000-0003-1362-224X
Michael MartinSchool of Environment, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-3867-1822
Mariana BrussoniHuman Early Learning Partnership, School of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous quantitative techniques exist for protecting geoprivacy, but often require significant expertise and may not always provide adequate protection. We propose cartographic privacy as a framework for protecting sensitive spatial data. Cartographically private approaches favor using design techniques to obfuscate data rather than statistical ones, appealing to intuitive rather than technical understandings of geoprivacy. We explore this concept using two case studies of sensitive geonarrative interviews that focus on mapping the topology and friction of trajectories described by participants, and in doing so protect geoprivacy. We conclude by discussing the advantages and disadvantages of qualitatively driven approaches to geoprivacy protection.

Indexed as

anonymizationcartographygeographic maskinggeonarrativesgeoprivacyprivacytrajectory anonymization

Identifiers

PMID42422056
PMCPMC13345372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.