7 datasets found
  1. A

    Indonesia: High Resolution Population Density Maps + Demographic Estimates

    • data.amerigeoss.org
    json, zip
    Updated Apr 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UN Humanitarian Data Exchange (2025). Indonesia: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/es/dataset/indonesia-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    zip(261986669), zip(187153023), zip(187022300), zip(259643381), zip(262486248), zip(260094129), zip(186990137), zip(187077824), json(37052387), zip(187046777), zip(261148410), zip(262088867), zip(187145922), zip(261668665), zip(187066166)Available download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Area covered
    Indonesia
    Description

    VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Indonesia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

  2. W

    Indonesia - Population density (2015)

    • cloud.csiss.gmu.edu
    • open.africa
    • +1more
    tiff
    Updated May 13, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Africa (2019). Indonesia - Population density (2015) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/indonesia-population-density-2015
    Explore at:
    tiffAvailable download formats
    Dataset updated
    May 13, 2019
    Dataset provided by
    Open Africa
    License

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

    Area covered
    Indonesia
    Description

    Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

    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: 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: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

    Indonesia data available from WorldPop here.

  3. W

    Indonesia: High Resolution Population Density Maps + Demographic Estimates

    • cloud.csiss.gmu.edu
    zip
    Updated Jul 23, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UN Humanitarian Data Exchange (2019). Indonesia: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://cloud.csiss.gmu.edu/uddi/fi/dataset/indonesia-high-resolution-population-density-maps-demographic-estimates
    Explore at:
    zip(81562291), zip(81484909), zip(128085008), zip(81609932), zip(81506979), zip(116588447), zip(81507440), zip(116539477), zip(116606493), zip(116552167), zip(116529352), zip(116576521), zip(81630675), zip(81475167)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    UN Humanitarian Data Exchange
    License

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

    Area covered
    Indonesia
    Description

    The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

  4. Data from: Protected by dragons: density surface modeling confirms large...

    • zenodo.org
    • search.dataone.org
    • +1more
    bin, txt
    Updated Jun 3, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Anna Reuleaux; Anna Reuleaux; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden (2022). Protected by dragons: density surface modeling confirms large population of the critically endangered Yellow-crested Cockatoo on Komodo island [Dataset]. http://doi.org/10.5061/dryad.47d7wm3b9
    Explore at:
    txt, binAvailable download formats
    Dataset updated
    Jun 3, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anna Reuleaux; Anna Reuleaux; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Komodo
    Description

    Intense trapping of the critically endangered Yellow-crested Cockatoo Cacatua sulphurea for the International pet trade has devastated its populations across Indonesia such that populations >100 individuals remain at only a handful of sites. We combined distance sampling with density surface modeling (DSM) to predict local densities and estimate total population size for one of these areas, Komodo Island, part of Komodo National Park (KNP) in Indonesia. We modeled local density based on topography (topographic wetness index) and habitat types (percentage of palm savanna and deciduous monsoon forest). Our population estimate of 1,113 (95% CI: 587–2,109) individuals on Komodo Island was considerably larger than previous conservative estimates. Our density surface maps showed cockatoos to be absent over much of the island, but present at high densities in wooded valleys. Coincidence between our DSM and a set of independent cockatoo observations was high (93%).
    Standardized annual counts by KNP staff in selected areas of the island showed increases in cockatoo records from <400 in 2011 to ~650 in 2017. Taken together, our results indicate that KNP, alongside and indeed because of preserving its iconic Komodo Dragons Varanus komodoensis, is succeeding in protecting a significant population of Indonesia's rarest cockatoo species. To our knowledge this is the first time DSM has been applied to a Critically Endangered species. Our findings highlight the potential of DSM for locating abundance hotspots, identifying habitat associations, and estimating global population size in a range of threatened taxa, especially if independent datasets can be used to validate model predictions.

  5. s

    Vernachlaessigte Vielfalt in einem Biodiversitaethotspot: die Amphibien und...

    • katalog.satudata.go.id
    Updated Nov 7, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Vernachlaessigte Vielfalt in einem Biodiversitaethotspot: die Amphibien und Reptilien von Sulawesi, Indonesien - Dataset - Portal Satu Data Indonesia [Dataset]. https://katalog.satudata.go.id/dataset/vernachlaessigte-vielfalt-in-einem-biodiversitaethotspot-die-amphibien-und-reptilien-von-sulawe
    Explore at:
    Dataset updated
    Nov 7, 2022
    Area covered
    Sulawesi, Indonesia
    Description

    Southeast Asia is one of the biologically most diverse regions on earth. At the same time, this natural wealth and global heritage is threatened by enormous economic growth rates and high human population pressure. Consequently, this vast tropical area is distinguished by the highest density of internationally recognized biodiversity hotspots. The Wallacea hotspot is located between the continental shelves of Eurasia and Australia and comprises Sulawesi, the Lesser Sunda Islands, and the Moluccas (Spice Islands). Sulawesi, formerly known as Celebes, is the largest land mass within the biogeographic transition zone between Asia and Australia and unites unique faunal elements from both biologically distinct regions. Compared with the amphibians and reptiles of the three Greater Sunda Islands, the herpetofaunal diversity of Sulawesi is impoverished, since many wide-spread Southeast Asian amphibian and reptile genera did not succeed in colonizing Sulawesi in the past. This depauperate faunal character is the result of the million-year long geological isolation of Sulawesi from surrounding island regions due to marine barriers and strong sea currents. However, despite ambitious investigations by several industrious scientists during the past two centuries, recent fieldwork on Sulawesi and its smaller offshore islands has revealed that the diversity of amphibian and reptile species has been largely underestimated. Since the last herpetological synopsis was published in 1996, 36 new amphibian and reptile species plus five subspecies have been described or were newly recorded for Sulawesi and its satellite islands. In addition, about 40 species, mainly skinks, have been identified as new to science and still await formal scientific description. This represents an increase by 35 persen! In total, about 215 different species of amphibians (ca. 50 species) and reptiles (ca. 160 species) are currently recognized from the Sulawesi region and further will be discovered in the future. Zeitschrift des Koelner Zoos 56 (4): 149-162

  6. s

    Keanekaragaman Keong Kuwuk di Perairan Halmahera, Maluku Utara - Dataset -...

    • katalog.satudata.go.id
    Updated Nov 7, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Keanekaragaman Keong Kuwuk di Perairan Halmahera, Maluku Utara - Dataset - Portal Satu Data Indonesia [Dataset]. https://katalog.satudata.go.id/dataset/keanekaragaman-keong-kuwuk-di-perairan-halmahera-maluku-utara
    Explore at:
    Dataset updated
    Nov 7, 2022
    Area covered
    Kepulauan Maluku, Maluku Utara, Halmahera, Indonesia
    Description

    The Observation on Cowries has been carried out by transect method in Halmahera waters, Maluku Utara in April to May 2008. During the observation has been collected 32 species of Cowries. On the basis of population density, Cypraea carneola was the dominant species and relatively highest in the individual density. In general the number of species of Cowries fauna is high biodiversity. The species composition, community structure, and spatial distribution of Cowries are discussed in this paper. Zoo lndonesia Jurnal Fauna Tropika, Vol. 19, No. 1. Hal. 1-9 ISSN 0215-191X

  7. f

    Traditional practices and percent of maternal health services utilization.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ni Ketut Aryastami; Rofingatul Mubasyiroh (2023). Traditional practices and percent of maternal health services utilization. [Dataset]. http://doi.org/10.1371/journal.pone.0257032.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ni Ketut Aryastami; Rofingatul Mubasyiroh
    License

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

    Description

    Traditional practices and percent of maternal health services utilization.

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
UN Humanitarian Data Exchange (2025). Indonesia: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/es/dataset/indonesia-high-resolution-population-density-maps-demographic-estimates

Indonesia: High Resolution Population Density Maps + Demographic Estimates

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
zip(261986669), zip(187153023), zip(187022300), zip(259643381), zip(262486248), zip(260094129), zip(186990137), zip(187077824), json(37052387), zip(187046777), zip(261148410), zip(262088867), zip(187145922), zip(261668665), zip(187066166)Available download formats
Dataset updated
Apr 8, 2025
Dataset provided by
UN Humanitarian Data Exchange
License

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

Area covered
Indonesia
Description

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Indonesia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Search
Clear search
Close search
Google apps
Main menu