3 datasets found
  1. d

    Data from: Spatio-temporal analysis of remotely sensed forest loss data in...

    • datadryad.org
    • search.dataone.org
    • +1more
    zip
    Updated Nov 2, 2021
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    Bernard Peter Daipan; Franco Jenner (2021). Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines [Dataset]. http://doi.org/10.5061/dryad.v41ns1rvb
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    zipAvailable download formats
    Dataset updated
    Nov 2, 2021
    Dataset provided by
    Dryad
    Authors
    Bernard Peter Daipan; Franco Jenner
    Time period covered
    2021
    Area covered
    Cordillera Administrative Region, Philippines
    Description

    The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

    The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

    The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

  2. w

    Philippines administrative level 0 (country), 1 (region), 2 (province), and...

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    csv, kml, kmz +3
    Updated May 1, 2018
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    OCHA Philippines (2018). Philippines administrative level 0 (country), 1 (region), 2 (province), and 3 (municipality) boundaries, points, and lines, shapefiles and live services [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/Y2FmMTE2ZGYtZjk4NC00ZGViLTg1Y2EtNDFiMzQ5ZDNmMzEz
    Explore at:
    kmz(378.0), live service, zipped shapefile(149538908.0), xlsx(188322.0), zipped shapefile(204037.0), kmz(380.0), kmz(374.0), kmz(77928.0), kml(129671719.0), zipped shapefile(141598788.0), csv(154689.0), zipped shapefile(145720425.0), zipped shapefile(140313868.0), zipped shapefile(139335705.0), kmz(139845073.0)Available download formats
    Dataset updated
    May 1, 2018
    Dataset provided by
    OCHA Philippines
    Area covered
    Philippines
    Description

    These datasets are derived from the boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. These datasets have been vetted by staff at The Carl Vinson Institute of Government's Office of Information Technology Outreach Services (ITOS) according to their COD assessment protocol found in the COD Technical Support Package (https://sites.google.com/site/commonoperationaldataset/geodata-preparation-manual/itos-process).
    Acknowledge PSA and NAMRIA as the sources. LMB is still the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. * For administrative level 4 (Barangay) please contact the contributor (OCHA Philippines) via this page. This COD replaces https://data.humdata.org/dataset/philippines-administrative-boundaries

    Philippines administrative levels:

    (0) Country

    (1) Region (Filipino: rehiyon)

    (2) Provinces (Filipino: lalawigan, probinsiya) and independent cities (Filipino: lungsod, siyudad/ciudad, dakbayan, lakanbalen)

    (3) Municipalities (Filipino: bayan, balen, bungto, banwa, ili) and component cities (Filipino: lungsod, siyudad/ciudad, dakbayan, dakbanwa, lakanbalen)

    These shapefiles are suitable for database or ArcGIS joins to the sex and age disaggregated population statistics found on HDX here.

  3. a

    Data from: Primary Service Area

    • opendata-jcc.opendata.arcgis.com
    Updated Mar 8, 2019
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    James City County, VA (2019). Primary Service Area [Dataset]. https://opendata-jcc.opendata.arcgis.com/items/075e9da8087340c2bae8c4b642baca63
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    Dataset updated
    Mar 8, 2019
    Dataset authored and provided by
    James City County, VA
    Area covered
    Description

    James City County - Primary Service AreaThe James City County Community Development Dept. provided criteria for this layer.Please refer to the JCC web site below.PSA

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Bernard Peter Daipan; Franco Jenner (2021). Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines [Dataset]. http://doi.org/10.5061/dryad.v41ns1rvb

Data from: Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Nov 2, 2021
Dataset provided by
Dryad
Authors
Bernard Peter Daipan; Franco Jenner
Time period covered
2021
Area covered
Cordillera Administrative Region, Philippines
Description

The Hansen Global Forest Change version 1.7 datasets generated during and/or analysed during the current study are available in the earth engine partner’s website repository http://earthenginepartners.appspot.com/science-2013-global-forest. The datasets were developed by Hansen et al. (2013) in their paper "High-resolution global maps of 21st-century forest cover change". Science, 342 (6160), 850-853. https://doi.org/10.1126/science.1244693

The census of population in the Philippines, including the project populations, used in this study can be retrieved from the Philippine Statistics Authority (PSA) website https://psa.gov.ph/statistics/census/projected-population

The datasets were processed using an open source GIS software (QGIS version 3.16 Hannover) which can be downloaded from the QGIS website https://www.qgis.org/en/site/.

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