IW Ridge to Reef Project
Emma Newland 2018
The classification groups for the deepwater biological regions were driven by 30 environmental datasets including depth,
salinity and sea surface temperature.
*refer to pdf for more information*
reef associated bioregions of Vanuatu
*refer to pdf for more information*
Spatial dataset for reefs in Vanuatu. Source: Institute of Marine Remote Sensing (IMARS).
* Attribute details on reef type: barrier atoll-bank, barrier island, fringing island, land, non-reef, patch atoll-bank, patch island.
* Attribute details on depth: deep, land, shallow, variable.
There are not perfect data which describe the distribution and abundance of every marine habitat and species in the Pacific. And certainly not at a scale that is useful for national planning in the ocean. Bioregionalisation, or the classification of the marine environment into spatial units that host similar biota, can serve to provide spatially explicit surrogates of biodiversity for marine conservation and management. Existing marine bioregionalisations however, are at a scale that is too broad for national governments in the Pacific to use.
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Vanuatu.
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Samoa.
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
The overall goal of the Hybrid Survey (HS) project is to provide Vanuatu statistical systems with an affordable means and methodology to regularly collect statistics across key social and economic sectors, to derive indicators that would provide Vanuatu Government and their development partners with a core set of statistics to facilitate evidence-based policy development and planning, to monitor development progress and measure policy performance, and ultimately to describe development impact.
The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments.
The Kiribati Social Development Indicator Survey (SDIS) results are critically important for the purposes of Sustainable Development Goal (SDG) monitoring, as the survey produces information on 32 global SDG indicators adopted by the National Development Indicators framework, either in their entirety or partially.
The Tonga Multiple Indicator Cluster Survey (MICS) was conducted in 2019 by the Tonga Statistics Department in collaboration with Ministry of Health with technical support of Ministry of Internal Affairs – Women’s Affairs and Gender Equality Division (WAGED) and other key Government Ministries UNICEF, UNFPA, the Pacific Community (SPC) and other partners. The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programs, and for monitoring progress toward national goals and global commitments.