-HOUSEHOLD: Household characteristics; Household belongings; Communication; Agriculture; Social Transfers; Household Energy use; Food Insecurity Experiences; Water and sanitation; Handwashing; Salt iodisation.
-HOUSEHOLD MEMBER: Individual charateristics; Education.
- HOUSEHOLD: dwelling characteristics, source of water, energy, cooking fuel, commodities owned, expenditure, income;
- INDIVIDUAL: demographic characteristics, economic activity, education, health, expenditure, income.
DHS questionnaire for women cover the following sections:
- Background characteristics (age, education, religion, etc)
- Reproductive history
- Knowledge and use of contraception methods
- Antenatal care, delivery care and postnatal care
- Breastfeeding and infant feeding
- Immunization, child health and nutrition
- Marriage and recent sexual activity
- Fertility preferences
- Knowledge about HIV/AIDS and other sexually transmitted infections
- Husbands background and women's work
-HOUSEHOLD: Household characteristics; Household belongings; Communication; Agriculture; Social Transfers; Household Energy use; Dengue; Water and sanitation; Handwashing; Salt iodisation.
-HOUSEHOLD MEMBER: Individual charateristics; Education; Dengue.
-MOSQUITO NETS: Dengue.
The scope of Fiji 1974 WFS includes:
- Marriage history
- Marital status
- Age at marriage
- Marital duration
- Birth history
- Children ever born
- Living children
- Period fertility
- Birth intervals
- Breastfeeding
- Exposure status
- Fertility preferences
- Knowledge of birth control
- Ever use of birth control
- Current use of birth control
- Pattern of use of birth control
- Respondent's background
- Partner's background
The combined Pacific EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
These instructional videos walk users through the portal and its different features.
SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.
The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution.
SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.
The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution.
End of Internship presentation on Pacific Climate Finance. Section are: climate finance challenges, overview of climate finance in the Pacific, and next steps.
This presentation has been edited to suit Senior Secondary students to help them know what the National Ozone Unit is doing under the Department of Environment in regards to carrier path ways.
SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.
The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for 21 Pacific Island Countries, in a GIS-friendly format. The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps.
Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains.
This dataset shows the global distribution of seamounts and knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts and 138,412 knolls were identified, representing the largest global set of identified seamounts and knolls to date. Seamount habitat was found to constitute approximately 4.7% of the ocean floor, whilst knolls covered 16.3%.
The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN).
The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes and their eruptions during the last 10,000 years.
The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).
Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).