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.
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.
Giant clams on Kosrae's reefs are still considered as an important food resources, but over harvesting has widely depleted the reefs of Kosrae. Restocking the reefs is an effective means for building resiliency and diversity for rural communities, promoting food security and economic well being for the island people. Alarming now is the increasingly higher distance between two wild clams, making natural spawning- is less or very limited.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey.
The dataset is included the Digital Atlas of Micronesia, module Pohnpei, by Island Research & Education Initiative (iREi), in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) University of Guam and partial funding from United States Geological Survey (USGS), under WRRI 104-B Program, project # 2016GU302B.
This dataset the extent of coral reefs around Pohnpei. The data layer shown here is a subset of Pohnpei base layer. The original data, so-called Digital Line Graphs (DLSs), were created by U.S. Geological Survey (USGS) for the 1:25,000-scale topographic maps (2001). The shoreline was modified by by University of Guam (UOG) (2017) based on 2016 Worldview-3 satellite imagery from Digital Globe. The dataset was slightly shifted and also updated (mainly around Kolonia and its vicinity).
This dataset shows the areas of biological significance (ABS) on Pohnpei. The original dataset was created by The Nature Conservancy. A subset to show only Pohnpei was created by the Island Research & Education Initiative (iREi). These data are intended to capture those areas that represent the wide range of biodiversity features in the marine and terrestial areas of FSM. They are used to guide conservation planning and projects in FSM, and ultimately to help establish conservation areas. Polygons capturing expert knowledge from FSM Blueprint project.
Pictures of the outreach
This is the Vegetation Survey of Yap Main Island from 1986
Documents from the April 8th - 11th South-South Workshop for the Inform Project
Raster data representing the mean levels of calcite in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of current velocities in meters/second for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of iron in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of pH for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
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FSM has a long history of disturbance from human settlement and use, which influenced the forest structure and species composition over time. This is usually marked by conversion of native forest to agroforestry. In 2016 the percentage of forest area showing signs of disturbance from human activities and climate events was 45%.
Response and Recommendation:
Full metadata description: all details concerning the spatial dataset.
Full metadata description: all details concerning the spatial dataset.