Kiribati estimates of monthly copra production by island 2013. Data sourced from the Kiribati Statistics Office.
Kiribati copra production by island, 1993 - 2013. Data sourced through the Kiribati Statistics Office.
Kiribati total amount of copra and total value of copra exported by destination 1992 - 2010. Units given in metric tons. Data sourced through the Kiribati Statistics Office.
The household survey was funded by the Government of Australia via the Secretariat of the Pacific Community (SPC) through the Pacific Appliance Labelling and Standards (PALS) project with technical support from the United Nations Development Programme (UNDP).
Data entry was undertaken by the Department of Energy, Govt. of Tuvalu. Contact: Kapuafe Lifuka, Acting Director, Department of Energy, Ministry of Public Utilities, Government of Tuvalu & PALS National Coordinator: [email protected]
Data captures Fiji 2013 vehicle imports. Data captured by the Fiji Revenue & Customs Authority and sourced through the Fiji Statistics Office.
Dataset captures Fiji petroleum product volume imports & re-exports) from 2000 - 2014. Data sourced directly from the Fiji Bureau of Statistics. Data captures HS Code, SITC, country or import or export, quantity, unit and value. Table below shows the specific codes for each petroleum product.
Fiji Islands transport data. Data collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Project. Record holds several attachments. The objective of this project is to assess what is available in the Pacific Islands countries (PIC), identify and determine how renewable sources & ultimately technology can be used to offset fuel imports and lastly what mechanisms is appropriately applicable towards having an Energy efficient program towards the fuel design. Data collected involved transport of all sectors.
Cook Islands transport data. Data collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Project. Record holds several attachments. The objective of this project is to assess what is available in the Pacific Islands countries (PIC), identify and determine how renewable sources & ultimately technology can be used to offset fuel imports and lastly what mechanisms is appropriately applicable towards having an Energy efficient program towards the fuel design. Data collected involved transport of all sectors.Listed are the transport related information collected:
Work is part of the SOPAC Regional assitance to the countries on wind advisory.
Provides principles to support nature conservation in pacific islands
Tropical Cyclone Gita hit the main island of Tongatapu and the island of ‘Eua on the night of Monday, 12th February 2018 as a destructive category 4 storm, causing severe damages to these two islands which consists of about 80% of the Total population of Tonga.
This assessment uses the post-disaster data collected by the Statistical Department to describe the characteristics of the affected population, nature and spatial concentration of the damage, and the aid required and received at the time of the interview by the Tongan population.
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.
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.
A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.
-MENAGE: Caracteristiques du menage; Biens du menage; Entretien; Voyages; Service; Ceremonies; Flux financiers; Betail; Agriculture.
-INDIVIDU: Caracteristiques des individus; Education; Sante; Handicap; Communication; Alcool et tabac; Activities economiques; Peche et chasse; Artisanat.
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).