OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia 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. This OSM product will be updated weekly.
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.
The Open Database License (ODbL) is a license agreement intended to
allow users to freely share, modify, and use this Database while
maintaining this same freedom for others. Many databases are covered by
copyright, and therefore this document licenses these rights. Some
jurisdictions, mainly in the European Union, have specific rights that
cover databases, and so the ODbL addresses these rights, too. Finally,
the ODbL is also an agreement in contract for users of this Database to
act in certain ways in return for accessing this Database.
A direct internet link to and resources pertaining the Blue Habitat website which has been established as a portal for information on the global distribution of marine ‘blue’ habitats. Knowledge on the distribution of blue habitats is an important input into ocean management, marine spatial planning and biodiversity conservation.
Dataset regarding 'Seamounts' - peaks that rise over 1,000 m above the seafloor. Seamount chains occur in all three major ocean basins, with the Pacific having the most number and most extensive seamount chains.
statistical records as of 2014 on the distribution of seamount. Accordingly, there are more seamounts in the Pacific Ocean than in the Atlantic, and their distribution can be described as comprising several elongate chains of seamounts superimposed on a more or less random background distribution (Craig and Sandwell)