The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2005. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2010. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2015. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.
A collection of Inform project training materials. You are free to download and use any of the training resources below. The PowerPoint presentations contain a complete set of slides, so please feel free to copy, delete or change slides, to fit the purpose of your country training.
This dataset contains templates of policies and MoU's on data sharing.
You can download the Word-templates and adapt the documents to your national context.
Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation.
At the end of a training, you can ask participants to fill in this Action Plan. The goal is to link learning to performance.
This policy applies requests for data held by a Ministry. The purpose of this policy is to:
• encourage the free exchange of data within a Ministry, with other government agencies within the country and with the public, as appropriate
• ensure that sensitive information (including commercially sensitive data) held by the Ministry is not compromised.
Memorandum of Understanding between two parties, for the exchange of data, related information and other services.
Memorandum of Understanding between SPREP and a Country, to facilitate the access to, and security of, all data entered into the national database.
Map of the protected areas for the Pacific Islands Region with regional-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.
This is a template that can be used when creating a State of Environment report, and sections can be added or adapted to fit a country’s needs.
SPREPs recommended template for individual indicators in national SoE reports. The full SoE template will be updated in the coming months.
Solomon Islands is composed of almost 1000 islands and has the second longest coastline and the second largest Exclusive Economic Zone (EEZ) in the Pacific. These physical characteristics and the unique society and culture of the population are the basis of the fundamental relationship that Solomon Islanders have with the ocean. The Marine Atlas for the Solomon Islands compiles over a hundred datasets from countless data providers and for the first time makes marine and coastal information accessible and usable as data layers and as raw data.