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Example of sediment distributions from usSEABED

By Pacific Coastal and Marine Science Center
Map of coastline and dots plotted offshore show where sediment and rock samples were collected and their compositions.
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Detailed Description

Map showing distributions of mud, sand, and rock offshore Oregon and Washington using component and textural data from usSEABED. Individual data points are represented as colored squares and circles. Each color corresponds to a different degree of membership (for rock membership), or percentage (for mud and sand distributions).

Sources/Usage

Public Domain.

Related

link
Map of coastline and dots plotted offshore show where sediment and rock samples were collected and their compositions.

dbSEABED: Data processing and mining

At the core of usSEABED is dbSEABED, a data-mining program based on the application of fuzzy set theory to marine geological and biological data. Fuzzy set theory allows expansion of coverage of the seafloor by the use of word-based data from core logs, sample descriptions, photos, and videos, as well as the more standard numeric data from a laboratory.
By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center
link

dbSEABED: Data processing and mining

At the core of usSEABED is dbSEABED, a data-mining program based on the application of fuzzy set theory to marine geological and biological data. Fuzzy set theory allows expansion of coverage of the seafloor by the use of word-based data from core logs, sample descriptions, photos, and videos, as well as the more standard numeric data from a laboratory.
Learn More

Related

link
Map of coastline and dots plotted offshore show where sediment and rock samples were collected and their compositions.

dbSEABED: Data processing and mining

At the core of usSEABED is dbSEABED, a data-mining program based on the application of fuzzy set theory to marine geological and biological data. Fuzzy set theory allows expansion of coverage of the seafloor by the use of word-based data from core logs, sample descriptions, photos, and videos, as well as the more standard numeric data from a laboratory.
By
Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, St. Petersburg Coastal and Marine Science Center, Woods Hole Coastal and Marine Science Center
link

dbSEABED: Data processing and mining

At the core of usSEABED is dbSEABED, a data-mining program based on the application of fuzzy set theory to marine geological and biological data. Fuzzy set theory allows expansion of coverage of the seafloor by the use of word-based data from core logs, sample descriptions, photos, and videos, as well as the more standard numeric data from a laboratory.
Learn More
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