Type Shapefile
To show the locations of of mooring buoys around Kosrae.
This dataset shows the locations of mooring buoys around Kosrae. It was formatted for GIS by Island Research & Education Initiative (iREi) (2019) from informationprovided by Kosrae Island Resource Management Authority (KIRMA).
GIS dataset by Island Research & Education Initiative (iREi) based on information from Kosrae Island Resource Management Authority (KIRMA)
There are no expressed warranties associated with the release of these databases. Specifically, no warranty is made that the GIS data or any subsequent updates will be error free and no warranty is made regarding the positional or thematic accuracy of the GIS data. The GIS data and any features it depicts do not represent or confer any legal rights, privileges, benefits, boundaries or claims of any kind.
There is no extent for this item.
There is no scale range for this item.
The dataset is included in the Digital Atlas of Micronesia, module Kosrae, by Island Research & Education Initiative (iREi) in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) at the University of Guam and funding from United States Geological Survey (USGS) under WRRI 104-B Program and FSM Department of Environment, Climate Change & Emergency Management (DECEM).
GIS dataset by Island Research & Education Initiative (iREi) based on information from Kosrae Island Resource Management Authority (KIRMA)
There are no expressed warranties associated with the release of these databases. Specifically, no warranty is made that the GIS data or any subsequent updates will be error free and no warranty is made regarding the positional or thematic accuracy of the GIS data. The GIS data and any features it depicts do not represent or confer any legal rights, privileges, benefits, boundaries or claims of any kind.
The names require thorough verification and correction of spellings to conform with Kosraean orthography.
The absolute vertical accuracy is not known by depends largely on the accuracy of the digital elevation model used to calculate the elevation. Errors might also have been introduced when the data was shifted.
1. Compare two sources (KML and GNIS); 2. Import all data derived from the KML dataset and add features from GNIS dataset not already in KML file. 3. Format attribute table.
a. KML dataset downloaded online; b. Converted KML dataset to shapefile; c. Projected shapefile to WGS84 UTM Zone 58N; d. Formatted attribute table and added field (name, source, etc).
The data was downloaded from the GNIS website and formatted for GIS and shifted about 442 meters NW to match 2016 WorldView-3 imagery.
In WGS 84
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Feature geometry.
Esri
Coordinates defining the features.
In WGS 84
Original data