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Cited by 869

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

LandScan: a global population database for estimating populations at risk

·2003·Remotely-Sensed Cities

Abstract

Where are the world’s 6,000,000,000 people? Obviously, they reside, work, travel and play on 510,000,000 km2 of land, water and ice that comprise the Earth’s surface. At that spatial resolution, we can state their location unequivocally, though the count itself is clouded in uncertainty. Even the most geographically challenged observer will note, however, that most people live on land, not in the ocean. Suddenly, 361,637,000 km2 of sea surface is removed from the distribution, and population density jumps from 12 people per km2 to 40 people per km2. This simple, compelling act of removing the oceans from the total area is what cartographers call dasymetric interpolation.

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Crossref · 10.1201/9781482264678-24

Cites

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Metadata

Venue
Remotely-Sensed Cities
Publisher
CRC Press
Published
2003-03-06
Pages
301-314
OpenAlex
W1541771177
Cited by
869
References
7
FWCI
41.24
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: LandScan: a global population database for estimating populations at risk. https://app.cochat.ai/papers/10.1201/9781482264678-24
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LandScan: a global population database for estimating populations at risk. (2003). Remotely-Sensed Cities. https://doi.org/10.1201/9781482264678-24

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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.