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'Hot spot' analysis of red grouper (Epinephelus morio) commercial longline data recorded by the Gulf of Mexico Reef Fish Observer Program, 2007 - 2013.

Getis-Ord Gi* analysis of Red grouper, Epinephelus morio, capture (both kept and discarded) from observations recorded by NOAA Fisheries Service Galveston Laboratory Gulf of Mexico Reef Fish Observer Program 2007-2013 (7,201 sets made during 272 trips). Average capture summarized by 15-minute grid blocks. The hot spot, or Getis-Ord Gi* statistic, is used to detect clusters of high or low catch per unit effort (CPUE) values. In ArcGIS, the hot spot tool looks at the value of each feature in relation to the values for its neighboring features. A statistically significant Z-score results if the sum for a feature and its neighbors, when compared proportionally to the sum of all features, is different from what is expected. If a feature is surrounded by neighbors with similarly high (or low) values, then it is part of a statistically significant hot (or cold) spot. Data are categorized by Z-scores, a measure of standard deviation. With a 95% confidence level, or p-value of 0.05, the critical Z-score values are -1.96 and +1.96 standard deviations; and -2.58 and +2.58 for a 99% confidence level, or p-value of 0.01 Blocks with less than 3 vessels were included in analysis, but removed before distribution for confidentiality purposes.

About this Dataset

Updated: 2025-04-21
Metadata Last Updated: 2025-04-04T12:26:50.602Z
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Title 'Hot spot' analysis of red grouper (Epinephelus morio) commercial longline data recorded by the Gulf of Mexico Reef Fish Observer Program, 2007 - 2013.
Description Getis-Ord Gi* analysis of Red grouper, Epinephelus morio, capture (both kept and discarded) from observations recorded by NOAA Fisheries Service Galveston Laboratory Gulf of Mexico Reef Fish Observer Program 2007-2013 (7,201 sets made during 272 trips). Average capture summarized by 15-minute grid blocks. The hot spot, or Getis-Ord Gi* statistic, is used to detect clusters of high or low catch per unit effort (CPUE) values. In ArcGIS, the hot spot tool looks at the value of each feature in relation to the values for its neighboring features. A statistically significant Z-score results if the sum for a feature and its neighbors, when compared proportionally to the sum of all features, is different from what is expected. If a feature is surrounded by neighbors with similarly high (or low) values, then it is part of a statistically significant hot (or cold) spot. Data are categorized by Z-scores, a measure of standard deviation. With a 95% confidence level, or p-value of 0.05, the critical Z-score values are -1.96 and +1.96 standard deviations; and -2.58 and +2.58 for a 99% confidence level, or p-value of 0.01 Blocks with less than 3 vessels were included in analysis, but removed before distribution for confidentiality purposes.
Modified 2025-04-04T12:26:50.602Z
Publisher Name N/A
Contact N/A
Keywords gulf of mexico reef fish observer program , hot spot analysis , reef fish , fisheries , fishery dependent data , CPUE , catch per unit effort , longline , red grouper , Epinephelus morio , Gulf of Mexico , Gulf Coast , Texas , Louisiana , Florida , Alabama , Mississippi , red grouper , Epinephelus morio , Epinephelus morio
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