“BASIC” entropy grouping of laser-derived grain-size data: An example from the Great Barrier Reef
Computers & GeosciencesPublished 1 May 1995
K. J. Woolfe, Katsuyoshi Michibayashi
Citations36
SJR quartileQ1
SJR score1.04
SNIP1.49
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Rapid acquisition and management of high quality grain-size data was facilitated by establishing a Dynamic Data Exchange (DDE) link between a laser particle sizer (Malvern Mastersizer X) and a spreadsheet program (EXCEL for WINDOWS). The resultant data set was grouped, using "ENTROPY", an entropy analysis program, to delimit grain-size facies for samples collected from a section of the Great Barrier Reef shelf. ENTROPY accepts ASCII data and can be used to group frequency data from a range of applications.
Keywords
Earth and Planetary SciencesEnvironmental Science
Bell System Technical JournalA Mathematical Theory of Communication
80,675 Citations1948Claude E. Shannon
SedimentologyCharacterizing grain size distributions: evaluation of a new approach using a multivariate extension of entropy analysis
39 Citations1989James Forrest, Neil R. Clark
Economic GeographyAn Analysis of Entropy Changes in a Settlement Pattern over Time
38 Citations1970R. K. Semple, R. G. Golledge
Estuarine Coastal and Shelf ScienceThe use of a mathematical model to compare particle size data derived by dry-sieving and laser analysis
25 Citations1992Nigel Shillabeer, Brian Hart +1 more
Particulate Science And TechnologyOPTIMAL DEFINITION OF CLASS INTERVALS FOR FREQUENCY TABLES
20 Citations1983William E. Full, Robert Ehrlich +1 more
A procedure is presented which evaluates the relative information content of a set of frequency data when subdivided in various manners and indicates that collections of equal interval phi-based frequency tables contain the least information.
