1,722,102 research outputs found
WorldPop Global Country Boundaries (v1)
Version 1 WorldPop global country boundaries dataset</span
WorldPop-SubnationalAgeStructDepRatios-v1
The WorldPop-SubnationalAgeStructDepRatios-v1 code can be used to re-produce the age structure and dependency ratio datasets that are publicly available through the WorldPop Project website (http://www.worldpop.org.uk/data/data_sources/) and WorldPop Dataverse
Repository (https://dataverse.harvard.edu/dataverse/WorldPop). Refer to the Methods page of the WorldPop Project website
for a brief description of the methodology used to produce the age structure and dependecy ratio datasets. Both the datasets and the methods used to
produce and validate them are fully described in: Pezzulo et al.,
Sub-national mapping of population pyramids and dependency ratios in Africa and Asia. Scientific Data (under review).</p
WorldPop-InternalMigration-v1
The WorldPop-InternalMigration-v1 code can be used to re-produce the Internal Migration Datasets publicly available through the WorldPop Project website (http://www.worldpop.org.uk/data/data_sources/) and WorldPop Dataverse Repository (http://dx.doi.org/10.7910/DVN/RUWQQK). Refer to the Methods page of WorldPop Project website for a brief description of the methodology used to produce the Internal Migration Datasets (both the datasets and the methods used to produce and validate them will be fully described in: Sorichetta et al., Mapping internal connectivity through human migration in malaria endemic countries. Nature Scientific Data (accepted for publication)
wopr: An R package to query the WorldPop Open Population Repository, version 0.1.0
wopr is an R package that provides API access to the WorldPop Open Population Repository so users can download population data, query specific locations and demographic groups, and get robust statistical estimates of uncertainty.</span
wopr: An R package to query the WorldPop Open Population Repository, version 0.2.0
wopr is an R package that provides API access to the WorldPop Open Population Repository so users can download population data, query specific locations and demographic groups, get robust statistical estimates of uncertainty, and run the woprVision Shiny application from the R console.</span
wopr: An R package to query the WorldPop Open Population Repository, version 0.3.4
wopr is an R package that provides API access to the WorldPop Open Population Repository so users can download population data, query specific locations and demographic groups, get robust statistical estimates of uncertainty, and run the woprVision Shiny application from the R console.</span
Asia 1km Population
DATA DESCRIPTION: Version 2.0 estimates of total number of people per grid square for five timepoints between 2000 and 2020 at five year intervals; national totals have been adjusted to match UN Population Division estimates for each time point(1)
REGION: Asia
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - Asia_PPP_2010_adj_v2.tif = Asia population dataset presenting people per pixel (PPP) for 2010, adjusted to match UN national estimates (adj), dataset version 2.0 (v2)
DATASET CONSTRUCTION DETAILS: This dataset is a mosaic of all WorldPop country level Asian datasets resampled to 1km resolution. The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(2). For countries within each continental group which have not been mapped by WorldPop, GPWv4 1km population count data(3) was used to complete the mosaic. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/
DATE OF PRODUCTION: November 2016
Also included: (i) csv table describing the data source of the modelled population data for each country dataset (either WorldPop or GPWv4) which featured in the continental raster mosaic.
(1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/
(2) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm
(3) Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4X63JVC. Accessed 30 Sept 2016
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Latin America and the Caribbean 100m Population
DATA DESCRIPTION: Version 2.0 estimates of total number of people per grid square for five timepoints between 2000 and 2020 at five year intervals; national totals have been adjusted to match UN Population Division estimates for each time point(1)
REGION: Latin America and the Caribbean
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - LAC_PPP_2010_adj_v2.tif = Latin America and the Caribbean (LAC) population dataset presenting people per pixel (PPP) for 2010, adjusted to match UN national estimates (adj), dataset version 2.0 (v2)
DATASET CONSTRUCTION DETAILS: This dataset is a mosaic of all WorldPop country level LAC datasets resampled to 1km resolution. The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(2). For countries within each continental group which have not been mapped by WorldPop, GPWv4 1km population count data(3) was used to complete the mosaic. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/
DATE OF PRODUCTION: November 2016
Also included: (i) csv table describing the data source of the modelled population data for each country dataset (either WorldPop or GPWv4) which featured in the continental raster mosaic.
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(1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/
(2) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm
(3) Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4X63JVC. Accessed 30 Sept 2016
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South Sudan 100m Population
DATASET: Version 4.0 2010 estimates of numbers of people per grid square for 2010, 2015, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/), and remaining unadjusted.
REGION: Africa
SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: WorldPop naming convention applied; example SSD_ppp_2010_adj_v4.tif = South Sudan population per pixel (ppp) map for 2010 adjusted to match UN national estimates (adj), dataset version 4 (v4).
DATE OF PRODUCTION: Jan 2013 (Updated July 2018)
CITATION: WorldPop. 2013. South Sudan 100m Population, Version 4. University of Southampton. DOI: 10.5258/SOTON/WP00642.
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Latin America and the Caribbean 100m Age structures
DATA DESCRIPTION: Version 1.0 estimates of total number of people per grid square broken down by male/female and 5-year age groupings; national totals have been adjusted to match UN Population Division estimates for 2000(1).
REGION: Latin America and the Caribbean (LAC)
SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator)
PROJECTION: Geographic, WGS84
UNITS: Estimated persons per grid square
FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)
FILENAMES: Example - LAC_PPP_A1014_F_2000_adj_v1.tif = Latin America and the Caribbean (LAC) population dataset presenting people per pixel (PPP) for female age group 10 to 14 (A1014_F) for year 2000, adjusted to match UN national estimates (adj), dataset version 1.0 (v1). For other datasets, M = male, A65PL = age 65 and over, WOCBA = women of childbearing age (age 15-49).
DATASET CONSTRUCTION DETAILS: This dataset is compiled from demographic age/sex structure proportional data, sourced on a country-by-country basis. The primary objective was to source the most detailed sub-national level data available, for each country. A number of small countries had no sub-national data available, hence national data was used instead (sourced from national statistical offices or UNPD(1)). The people per pixel (PPP) estimates for each age/sex group were derived from WorldPop whole continent population datasets, version 2.0, 2016 production(2). The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(3). Full details of WorldPop population mapping methodologies are described on the WorldPop website(4).
DATE OF PRODUCTION: March 2017
(1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/
(2) www.worldpop.org.uk/data/data_sources/
(3) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm
(4) www.worldpop.org.uk/data/methods
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