33 datasets found
  1. e

    Geographical Distribution of Biomass Carbon in Tropical Southeast Asian...

    • knb.ecoinformatics.org
    • data.ess-dive.lbl.gov
    • +1more
    Updated Apr 29, 2021
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    S. Brown; L. R. Iverson; A. Prasad (2021). Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database (NPD-068) [Dataset]. http://doi.org/10.3334/CDIAC/LUE.NDP068
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    Dataset updated
    Apr 29, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    S. Brown; L. R. Iverson; A. Prasad
    Time period covered
    Jan 1, 1980 - Dec 31, 1980
    Area covered
    Description

    A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp068/ndp068.html

  2. f

    High Resolution Population Distribution Maps for Southeast Asia in 2010 and...

    • plos.figshare.com
    tiff
    Updated May 31, 2023
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    Andrea E. Gaughan; Forrest R. Stevens; Catherine Linard; Peng Jia; Andrew J. Tatem (2023). High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015 [Dataset]. http://doi.org/10.1371/journal.pone.0055882
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Andrea E. Gaughan; Forrest R. Stevens; Catherine Linard; Peng Jia; Andrew J. Tatem
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Asia, South East Asia
    Description

    Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (∼100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.

  3. s

    Malaysia 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Malaysia 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00159
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Malaysia
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  4. s

    Citation Trends for "High Resolution Population Distribution Maps for...

    • shibatadb.com
    Updated Feb 13, 2013
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    Yubetsu (2013). Citation Trends for "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015" [Dataset]. https://www.shibatadb.com/article/5GtCTUkS
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    Dataset updated
    Feb 13, 2013
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2014 - 2025
    Area covered
    Asia, South East Asia
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015".

  5. s

    Democratic People's Republic of Korea 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Democratic People's Republic of Korea 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00070
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    North Korea
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  6. s

    Papua New Guinea 100m Population

    • eprints.soton.ac.uk
    • explore.openaire.eu
    Updated May 5, 2023
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    WorldPop, (2023). Papua New Guinea 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00212
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Papua New Guinea
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  7. Y

    Citation Network Graph

    • shibatadb.com
    Updated Feb 13, 2013
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    Yubetsu (2013). Citation Network Graph [Dataset]. https://www.shibatadb.com/article/5GtCTUkS
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    Dataset updated
    Feb 13, 2013
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Description

    Network of 46 papers and 75 citation links related to "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015".

  8. s

    Japan 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Japan 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00119
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Japan
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  9. s

    Samoa 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Samoa 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00226
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Samoa
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  10. s

    Timor-Leste 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Timor-Leste 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00270
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Timor-Leste
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  11. a

    BANGLADESH: Integrated Agricultural Productivity Project (IAPP)

    • hub.arcgis.com
    Updated Mar 27, 2013
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    GAFSP_Root (2013). BANGLADESH: Integrated Agricultural Productivity Project (IAPP) [Dataset]. https://hub.arcgis.com/maps/812c6a8a329543e6bcd8204fec443f72
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    Dataset updated
    Mar 27, 2013
    Dataset authored and provided by
    GAFSP_Root
    Area covered
    Description

    This interactive map of Bangladesh highlights the project locations of the Integrated Agricultural Productivity Project (IAPP) and PRAN. Bangladesh is divided into seven administrative divisions, which are broken down into 64 districts, and further divided into 485 upazilas. This map overlays sub-national poverty data, demographic indicators, and other information relevant to the program. IAPP will target the districts of Rangpur, Kurigram, Lalmonirhat, and Nilfamari in the north and the districts of Barisal, Patuakhali, Barguna and Jhalokathi in the south. The project is expected to increase the productivity of major crops like cereals and pulses, increase the productivity of fish and livestock, increase the availability of certified seed, increase the irrigated area, and the income of farmers in all 54 upazilas in these eight districts. The project areas were selected for their high rates of poverty, food insecurity, and their vulnerability to natural shocks such as tidal surge in the south, and flash flood and drought in the north. GAFSP is financing the expansion of food processing and manufacturing capacity of Natore Agro Limited from PRAN group. PRAN group is the largest food and nutrition company in Bangladesh, with more than 40,000 employees and over 200 different products. The enhancement of operations is creating new jobs (over 1,200 expected), in a region severely affected by unemployment and is increasing the opportunities for local producers as raw material suppliers for the company. Data Sources: PRAN Project LocationSource: GAFSP Documents. IAPP Project Areas

    Source: Project Appraisal Document (PAD). Poverty Incidence (Proportion of population below the poverty line) (2010): Proportion of the population living on less than US$1.25 a day, measured at 2005 international prices, adjusted for purchasing power parity (PPP).Source: Bangladesh Bureau of Statistics. “HIES Survey 2010 Chapter 6.” Malnutrition (Proportion of underweight children under 5 years) (2011): Prevalence of severely underweight children is the percentage of children under age 5 whose weight-for-age is more than 3 standard deviations below the median for the international reference population ages 0-59 months.Source: Measure DHS. “Bangladesh Demographic and Health Survey 2011. Preliminary Report.” Total Population (2011): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.Source: Bangladesh Bureau of Statistics. “Population and Housing Census 2011. Preliminary Results.” Population Density (2011): Population divided by land area in square kilometers.Source: Bangladesh Bureau of Statistics. “Population and Housing Census 2011. Preliminary Results.” Irrigated Area (2009/10): Total irrigated area in hectares.Source: Bangladesh Bureau of Statistics. 2010 Yearbook of Agricultural Statistics of Bangladesh. Potato Production (2009-10 and 2010-11): Total production in tons by variety and total production in tons per hectare by variety.Source: Bangladesh Bureau of Statistics. “2012 Yearbook of Agricultural Statistics of Bangladesh.” Boro Rice (2009-10 and 2010-11): Total production in tons by variety and total production in tons per hectare by variety.Source: Bangladesh Bureau of Statistics. “2012 Yearbook of Agricultural Statistics of Bangladesh.” Bangladesh Soil Salinity (2009): Saline soils, salinity boundary, and coastlines.

    Source: Soil Resource Development Institute SRMAF Project – Bangladesh Ministry of Agriculture. “Saline Soils in Bangladesh 2010.”The maps displayed on this website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

  12. s

    Democratic People's Republic of Korea 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Democratic People's Republic of Korea 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00068
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    North Korea
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  13. f

    A high-density intraspecific SNP linkage map of pigeonpea (Cajanas cajan L....

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Sheetal Arora; Ajay Kumar Mahato; Sangeeta Singh; Paritra Mandal; Shefali Bhutani; Sutapa Dutta; Giriraj Kumawat; Bikram Pratap Singh; A. K. Chaudhary; Rekha Yadav; K. Gaikwad; Amitha Mithra Sevanthi; Subhojit Datta; Ranjeet S. Raje; Tilak R. Sharma; Nagendra Kumar Singh (2023). A high-density intraspecific SNP linkage map of pigeonpea (Cajanas cajan L. Millsp.) [Dataset]. http://doi.org/10.1371/journal.pone.0179747
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sheetal Arora; Ajay Kumar Mahato; Sangeeta Singh; Paritra Mandal; Shefali Bhutani; Sutapa Dutta; Giriraj Kumawat; Bikram Pratap Singh; A. K. Chaudhary; Rekha Yadav; K. Gaikwad; Amitha Mithra Sevanthi; Subhojit Datta; Ranjeet S. Raje; Tilak R. Sharma; Nagendra Kumar Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Pigeonpea (Cajanus cajan (L.) Millsp.) is a major food legume cultivated in semi-arid tropical regions including the Indian subcontinent, Africa, and Southeast Asia. It is an important source of protein, minerals, and vitamins for nearly 20% of the world population. Due to high carbon sequestration and drought tolerance, pigeonpea is an important crop for the development of climate resilient agriculture and nutritional security. However, pigeonpea productivity has remained low for decades because of limited genetic and genomic resources, and sparse utilization of landraces and wild pigeonpea germplasm. Here, we present a dense intraspecific linkage map of pigeonpea comprising 932 markers that span a total adjusted map length of 1,411.83 cM. The consensus map is based on three different linkage maps that incorporate a large number of single nucleotide polymorphism (SNP) markers derived from next generation sequencing data, using Illumina GoldenGate bead arrays, and genotyping with restriction site associated DNA (RAD) sequencing. The genotyping-by-sequencing enhanced the marker density but was met with limited success due to lack of common markers across the genotypes of mapping population. The integrated map has 547 bead-array SNP, 319 RAD-SNP, and 65 simple sequence repeat (SSR) marker loci. We also show here correspondence between our linkage map and published genome pseudomolecules of pigeonpea. The availability of a high-density linkage map will help improve the anchoring of the pigeonpea genome to its chromosomes and the mapping of genes and quantitative trait loci associated with useful agronomic traits.

  14. f

    Mean Fst distribution of World, Asia and East Asia.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Jongsun Jung; Hoyoung Kang; Yoon Shin Cho; Ji Hee Oh; Min Hyung Ryu; Hye Won Chung; Jeong-Sun Seo; Jong-Eun Lee; Bermseok Oh; Jong Bhak; Hyung-Lae Kim (2023). Mean Fst distribution of World, Asia and East Asia. [Dataset]. http://doi.org/10.1371/journal.pone.0011855.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jongsun Jung; Hoyoung Kang; Yoon Shin Cho; Ji Hee Oh; Min Hyung Ryu; Hye Won Chung; Jeong-Sun Seo; Jong-Eun Lee; Bermseok Oh; Jong Bhak; Hyung-Lae Kim
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    World, East Asia, Asia
    Description

    Mean Fst distribution of World, Asia and East Asia.

  15. s

    Tonga 100m Urban change

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Tonga 100m Urban change [Dataset]. http://doi.org/10.5258/SOTON/WP00278
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Tonga
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

  16. s

    Japan 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Japan 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00118
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Japan
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  17. s

    Taiwan 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Taiwan 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00262
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Taiwan
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  18. s

    Kiribati 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Kiribati 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00128
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Kiribati
    Description

    DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013

  19. s

    Tonga 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
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    WorldPop, (2023). Tonga 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00277
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Tonga
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

  20. s

    Ghana 100m Population

    • eprints.soton.ac.uk
    Updated May 5, 2023
    + more versions
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    WorldPop, (2023). Ghana 100m Population [Dataset]. http://doi.org/10.5258/SOTON/WP00098
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    Dataset updated
    May 5, 2023
    Dataset provided by
    University of Southampton
    Authors
    WorldPop,
    Area covered
    Ghana
    Description

    DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

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S. Brown; L. R. Iverson; A. Prasad (2021). Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database (NPD-068) [Dataset]. http://doi.org/10.3334/CDIAC/LUE.NDP068

Geographical Distribution of Biomass Carbon in Tropical Southeast Asian Forests: A Database (NPD-068)

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 29, 2021
Dataset provided by
ESS-DIVE
Authors
S. Brown; L. R. Iverson; A. Prasad
Time period covered
Jan 1, 1980 - Dec 31, 1980
Area covered
Description

A database was generated of estimates of geographically referenced carbon densities of forest vegetation in tropical Southeast Asia for 1980. A geographic information system (GIS) was used to incorporate spatial databases of climatic, edaphic, and geomorphological indices and vegetation to estimate potential (i.e., in the absence of human intervention and natural disturbance) carbon densities of forests. The resulting map was then modified to estimate actual 1980 carbon density as a function of population density and climatic zone. The database covers the following 13 countries: Bangladesh, Brunei, Cambodia (Campuchea), India, Indonesia, Laos, Malaysia, Myanmar (Burma), Nepal, the Philippines, Sri Lanka, Thailand, and Vietnam. For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp068/ndp068.html

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