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AUGUST 2005 FINAL REPORT<br />

Bibliography, WhaleNet, InnerCity Oz, <strong>the</strong> National Sea Grant Library, Ingenta, AVISO, <strong>the</strong><br />

International Union <strong>for</strong> <strong>the</strong> Conservation of Nature and Natural <strong>Resources</strong> (IUCN);<br />

International agencies and commissions: International Whaling Commission (IWC), United Nations<br />

Environment Programme (UNEP), Pacific Regional Environment Programme (<strong>for</strong>merly known as <strong>the</strong><br />

South Pacific Regional Environment Programme [<strong>SPREP</strong>]);<br />

U.S. federal agencies: DoD; DoN: Naval Facilities Engineering Command, Pacific; DoN: Naval Pacific<br />

Meteorological and Oceanography Center, Navy Exchange Dive Center Guam; <strong>Marine</strong> Mammal<br />

Commission (MMC); Minerals Management Service (MMS); National Aeronautic and Space<br />

Administration (NASA); National Park Service (NPS); NOAA Fisheries: Pacific Islands Regional Office<br />

(PIRO), Office of Protected <strong>Resources</strong>, Office of Habitat Conservation, Southwest Fisheries Science<br />

Center (SWFSC), PIFSC; NOAA: National Ocean Service (NOS), Sustainable Seas Expedition,<br />

National MPA Center, National <strong>Marine</strong> Mammal Laboratory (NMML), Western Pacific Regional<br />

Fishery Management Council (WPRFMC), National Data Buoy Center; USFWS: Refuges Division,<br />

Ecological Field Services Office, Guam National Wildlife Refuge;<br />

U.S. commonwealth and territory agencies: Guam Bureau of Statistics and Plans, Guam Division of<br />

Aquatic and Wildlife <strong>Resources</strong> (DAWR), Guam Environmental Protection Agency, CNMI Coastal<br />

<strong>Resources</strong> Management Office, CNMI Division of Fish and Wildlife (DFW), CNMI Division of<br />

Environmental Quality; and<br />

Local dive shops and tour operators: Dive Rota, Micronesian Divers Association, and Guam Tropical<br />

Dive Station.<br />

1.4.2 Spatial Data Representation⎯Geographic In<strong>for</strong>mation System<br />

The geographical representation of marine resource occurrences in <strong>the</strong> <strong>Marianas</strong> MRA study area was a<br />

major constituent of this MRA report. The marine resources data and in<strong>for</strong>mation accumulated <strong>for</strong> this<br />

project were accessed from a wide variety of sources, were in disparate <strong>for</strong>mats, covered a broad range<br />

of time periods, and represented differing levels of accuracy as well as quality assurance. The spatial or<br />

geographical component that was common to all data sets allowed <strong>the</strong> widely dissimilar data to be<br />

visualized in a meaningful manner. Without this common data characteristic, graphical display of such<br />

disparate data would have been difficult, if not impossible, to achieve.<br />

A GIS was used to store, manipulate, analyze, and visualize <strong>the</strong> spatial data and in<strong>for</strong>mation accumulated<br />

<strong>for</strong> <strong>the</strong> study area. For this project, Environmental Systems Research Institute, Inc.'s (ESRI) ArcView ®<br />

version 3.2 GIS software was used to create <strong>the</strong> majority of map figures and ArcView ® version 8.2 was<br />

used to create <strong>the</strong> metadata as well as some features of <strong>the</strong> three-dimensional map figures. ArcView ®<br />

was chosen <strong>for</strong> this project due to its widespread use, ease of operation, and its ability to create multiple<br />

views and layouts within <strong>the</strong> same project file.<br />

The geographic locations of important marine resources in <strong>the</strong> study area were derived from four types of<br />

sources (in order of reliability): source data, scanned source maps, source in<strong>for</strong>mation, and in<strong>for</strong>mation<br />

adapted from published maps. The “source data,” which include geographic coordinates and GIS<br />

shapefiles, were first scrutinized <strong>for</strong> data quality. If <strong>the</strong> data were in coordinate <strong>for</strong>m, <strong>the</strong>y were <strong>the</strong>n<br />

converted to decimal degrees, if necessary, and text fields were renamed or added <strong>for</strong> ease of<br />

manipulation. Once standardized, <strong>the</strong> source data were imported into <strong>the</strong> GIS software. Some of <strong>the</strong> data<br />

were only available as graphical representations or “source maps.” These data were scanned, imported<br />

into ArcView ® , and geo-referenced using <strong>the</strong> Image Analysis extension, with significant in<strong>for</strong>mation being<br />

digitized into a shapefile <strong>for</strong>mat. Materials acquired as Adobe ® Portable Document Format (PDF) files<br />

were also treated as scanned source maps (i.e., <strong>the</strong>y were geo-referenced and pertinent in<strong>for</strong>mation was<br />

digitized), since <strong>the</strong>y were already in a digital <strong>for</strong>m. A third type of source, “source in<strong>for</strong>mation,”<br />

encompasses in<strong>for</strong>mation that was nei<strong>the</strong>r taken from a scanned map nor was available in coordinate<br />

<strong>for</strong>m. For example, maps displaying non-coordinate data, in<strong>for</strong>mation given via personal communication,<br />

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