This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
This is a subset of [Sustainable Development Goals (all)](https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…)
The Marine spaces Act, 1977, Act. No. 18 of 15 December 1977, as amended by the Marine Spaces (Amendment) Act 1978, Act No. 15 of 6 October 1978 states that the exclusive economic zone of Fiji comprises all areas of sea
## Overview
A geospatial dataset of point geometries with a land use / land cover label and several remote-sensing derived predictor variables that can be used to train and test a land use / land cover classifier.
This dataset was generated with support from a Climate Change AI Innovation Grant and the Australian Centre for International Agricultural Research.
Each of the point geometries was assigned one of the following class labels:
Global 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).
To evaluate land use and land cover (LULC) maps an independent and representative test dataset is required. Here, a test dataset was generated via stratified random sampling approach across all areas in Fiji not used to generate [training data](https://github.com/livelihoods-and-landscapes/ccai-data/tree/main/fiji-…) (i.e. all Tikinas which did not contain a training data point were valid for sampling to generate the test dataset). Following equation 13 in [Olofsson et al.
The Pacific Community Results Report highlights the results achieved by SPC with our 26 Member countries and territories, and development partners. This dataset provides the data used in the Results Report provided in Excel and CSV formats.
This data has been visualised in the Results Explorer Dashboard:
https://pacificdata.org/results-explorer
Le rapport sur les résultats de la Communauté du Pacifique met en lumière les résultats obtenus par la CPS auprès de ses 26 pays et territoires membres, ainsi que de ses partenaires de développement. Cet ensemble de données fournit les données utilisées dans le rapport de résultats fourni aux formats Excel et CSV.
Ces données ont été visualisées dans le tableau de bord de l'explorateur de résultats : https://pacificdata.org/fr/explorateur-de-resultats
The baselines of the territorial sea of the Republic of the Marshall Islands are set out under Parts 1, 2 and 3 of the DECLARATION OF BASELINES & MARITIME ZONES OUTER LIMITS, made under section 118 of the MARITIME ZONES DECLARATION ACT 2016. The geographic coordinates are also defined under this document.
https://www.un.org/depts/los/LEGISLATIONANDTREATIES/PDFFILES/DEPOSIT/mh…
This are the Exclusive Economic Zone datasets with the length of 200 nautical miles measured from the Territorial Sea Baseline. These are authoritative datasets for the Pacific Island Countries and Territories. Provisional layers has been extracted from the online and freely available datasets under the Marine Regions. Updated as of October 2023.
This Household Income and Expenditure Survey (HIES) is a critical component of the work of the Cook Islands Statistics Office (CISO). The survey provides major indicators of the economic health of the nation and the well being of its people. For example Cook Islands residents (as opposed to businesses, government or tourists) consume a significant proportion of goods and services available in the Cook Islands. Changes in consumer and household spending patterns reflect changes in the economy and in individual and social behaviour.
The objectives of Census changed over time shifting from earlier years where they were essentially household registrations and counts, to now where a national population census stands supreme as the most valuable single source of statistical data for the Fiji.
Census data is now widely used to evaluate:
- The availability of basic household needs in key sectors, to identify disadvantaged areas and help set priorities for action
plans;
- Benefits of development programmes in particular areas, such as literacy, employment and family planning;
HIES collects a wealth of information on HH income and expenditure, such as source of income by industry, HH expenditure on goods and services, and income and expenditure associated with subsistence production and consumption. In addition to this, HIES collects information on sectoral and thematic areas, such as education, health, labour force, primary activities, transport, information and communication, transfers and remittances, food expenditure (acquisition) and gender.
The Early Grade Reading Assessment (EGRA) is an oral student assessment designed to measure the most basic foundation skills for literacy acquisition in the early grades: recognizing letters of the alphabet, reading simple words, understanding sentences and paragraphs, and listening with comprehension.
The Early Grade Reading Assessment (EGRA) is an oral student assessment designed to measure the most basic foundation skills for literacy acquisition in the early grades: recognizing letters of the alphabet, reading simple words, understanding sentences and paragraphs, and listening with comprehension.
The Early Grade Reading Assessment (EGRA) is an oral student assessment designed to measure the most basic foundation skills for literacy acquisition in the early grades: recognizing letters of the alphabet, reading simple words, understanding sentences and paragraphs, and listening with comprehension.