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High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020.

Sorichetta A, Hornby GM, Stevens FR, Gaughan AE, Linard C, Tatem AJ - Sci Data (2015)

Bottom Line: The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050.In this context, detailed and contemporary datasets accurately describing the distribution of residential population in the region are required for measuring the impacts of population growth, monitoring changes, supporting environmental and health applications, and planning interventions.All these products are available both through the WorldPop Project website and the WorldPop Dataverse Repository.

View Article: PubMed Central - PubMed

Affiliation: Geography and Environment, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK ; Institute for Life Sciences, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK.

ABSTRACT
The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050. In this context, detailed and contemporary datasets accurately describing the distribution of residential population in the region are required for measuring the impacts of population growth, monitoring changes, supporting environmental and health applications, and planning interventions. To support these needs, an open access archive of high-resolution gridded population datasets was created through disaggregation of the most recent official population count data available for 28 countries located in the region. These datasets are described here along with the approach and methods used to create and validate them. For each country, population distribution datasets, having a resolution of 3 arc seconds (approximately 100 m at the equator), were produced for the population count year, as well as for 2010, 2015, and 2020. All these products are available both through the WorldPop Project website and the WorldPop Dataverse Repository.

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Related in: MedlinePlus

Schematic overview of the procedure used to generate population density weighting layers.For illustrative purpose, only 4 out of the 74 covariates considered for Puerto Rico are shown here (the uninhabited Puerto Rican islands of Mona, Monito, and Desecheo are not shown).
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Related In: Results  -  Collection

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f2: Schematic overview of the procedure used to generate population density weighting layers.For illustrative purpose, only 4 out of the 74 covariates considered for Puerto Rico are shown here (the uninhabited Puerto Rican islands of Mona, Monito, and Desecheo are not shown).

Mentions: In the RF-based dasymetric population mapping approach developed by Stevens et al.24, a RF algorithm is used to generate gridded population density estimates that are subsequently used to dasymetrically disaggregate population counts from administrative units into grid cells. The same approach was used to produce the WorldPop Americas datasets described in this article. Initially, a population density response variable and a suite of covariates were calculated at the administrative unit level, and then used to fit a RF model for predicting population density at the grid cell level (i.e., to generate the dasymetric weighting layer) with those raster-based covariates having a spatial resolution of 100 m (Fig. 2).


High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020.

Sorichetta A, Hornby GM, Stevens FR, Gaughan AE, Linard C, Tatem AJ - Sci Data (2015)

Schematic overview of the procedure used to generate population density weighting layers.For illustrative purpose, only 4 out of the 74 covariates considered for Puerto Rico are shown here (the uninhabited Puerto Rican islands of Mona, Monito, and Desecheo are not shown).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4555876&req=5

f2: Schematic overview of the procedure used to generate population density weighting layers.For illustrative purpose, only 4 out of the 74 covariates considered for Puerto Rico are shown here (the uninhabited Puerto Rican islands of Mona, Monito, and Desecheo are not shown).
Mentions: In the RF-based dasymetric population mapping approach developed by Stevens et al.24, a RF algorithm is used to generate gridded population density estimates that are subsequently used to dasymetrically disaggregate population counts from administrative units into grid cells. The same approach was used to produce the WorldPop Americas datasets described in this article. Initially, a population density response variable and a suite of covariates were calculated at the administrative unit level, and then used to fit a RF model for predicting population density at the grid cell level (i.e., to generate the dasymetric weighting layer) with those raster-based covariates having a spatial resolution of 100 m (Fig. 2).

Bottom Line: The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050.In this context, detailed and contemporary datasets accurately describing the distribution of residential population in the region are required for measuring the impacts of population growth, monitoring changes, supporting environmental and health applications, and planning interventions.All these products are available both through the WorldPop Project website and the WorldPop Dataverse Repository.

View Article: PubMed Central - PubMed

Affiliation: Geography and Environment, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK ; Institute for Life Sciences, University of Southampton, Highfield Campus , Southampton SO17 1BJ, UK.

ABSTRACT
The Latin America and the Caribbean region is one of the most urbanized regions in the world, with a total population of around 630 million that is expected to increase by 25% by 2050. In this context, detailed and contemporary datasets accurately describing the distribution of residential population in the region are required for measuring the impacts of population growth, monitoring changes, supporting environmental and health applications, and planning interventions. To support these needs, an open access archive of high-resolution gridded population datasets was created through disaggregation of the most recent official population count data available for 28 countries located in the region. These datasets are described here along with the approach and methods used to create and validate them. For each country, population distribution datasets, having a resolution of 3 arc seconds (approximately 100 m at the equator), were produced for the population count year, as well as for 2010, 2015, and 2020. All these products are available both through the WorldPop Project website and the WorldPop Dataverse Repository.

Show MeSH
Related in: MedlinePlus