Cook Islands Protected Areas (PA) data from the World Database (WDPA). This dataset includes both tables and spatial data.
The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management.
The Landuse layer of Rarotonga was produced in 2009/2010 under the Sustainable Land Management (SLM) Project. This project was co-implemented by NES and MOIP.
The layer was produced by digitizing from satellite imagery and carrying out random checks on the field.
This dataset contains mapped point locations for protected areas within the Cook Islands. This dataset should be viewed in combination with the World Database on Protected Areas polygon locations to get a comprehensive view of all protected areas within the Cook Islands.
This dataset contains mapped polygon locations for protected areas within the Cook Islands. This dataset should be viewed in combination with the World Database on Protected Areas point locations to get a comprehensive view of all protected areas within the Cook Islands.
The WDPA User Manual provides information and guidance about the data held within the WDPA, including its history, how it is collected, managed and distributed, and how it should be interpreted and used for analyses and research. The Manual has been prepared for WDPA data providers and users. It is structured in 4 sections and includes 6 appendices.
The Protected Areas Working Group (PAWG) of the Pacific Islands Round Table for Nature Conservation recommended a forum to better connect a diverse range of people and their work relating to protected and conserved areas. To increase efficacy with respect to gaining momentum with communications and conservation work, the Pacific Islands Protected Area Portal (PIPAP) was launched.
Dataset includes various regional-scale spatial data layers in geojson format.