{"title":"希腊鱼类多样性分析的计算程序","authors":"K. Onkov, G. Tegos","doi":"10.1145/3340074.3340091","DOIUrl":null,"url":null,"abstract":"Fishery Time Series Database of Greece stores time series by means of spatial, biological, technical and economic aspects. Through the aggregation, the time series on fish catch quantity by species, areas and regions and total are presented in the form of data cubes. Computational procedure estimates Shannon diversity index on data cubes respecting fish groups. The computation of descriptive statistics on time series containing the obtained values of Shannon index gives the opportunity for a comparative and multi-scale analysis on three levels: total, fish region and fish area. The computational procedure provides also the extraction of some specific features of the fish diversity dynamics. In addition, the differences and similarities between fish diversity of Greek regions and areas are discussed. The developed procedure and software can be also applied on other countries and regions on sea fish species and freshwater fish species. Finally, spatial and temporal estimation of fish diversity has ecological and economic aspects. The obtained information can be useful for an effective management of fish resources.","PeriodicalId":196396,"journal":{"name":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Procedure for Analysis of Fish Diversity in Greece\",\"authors\":\"K. Onkov, G. Tegos\",\"doi\":\"10.1145/3340074.3340091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fishery Time Series Database of Greece stores time series by means of spatial, biological, technical and economic aspects. Through the aggregation, the time series on fish catch quantity by species, areas and regions and total are presented in the form of data cubes. Computational procedure estimates Shannon diversity index on data cubes respecting fish groups. The computation of descriptive statistics on time series containing the obtained values of Shannon index gives the opportunity for a comparative and multi-scale analysis on three levels: total, fish region and fish area. The computational procedure provides also the extraction of some specific features of the fish diversity dynamics. In addition, the differences and similarities between fish diversity of Greek regions and areas are discussed. The developed procedure and software can be also applied on other countries and regions on sea fish species and freshwater fish species. Finally, spatial and temporal estimation of fish diversity has ecological and economic aspects. The obtained information can be useful for an effective management of fish resources.\",\"PeriodicalId\":196396,\"journal\":{\"name\":\"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3340074.3340091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 11th International Conference on Bioinformatics and Biomedical Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3340074.3340091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computational Procedure for Analysis of Fish Diversity in Greece
Fishery Time Series Database of Greece stores time series by means of spatial, biological, technical and economic aspects. Through the aggregation, the time series on fish catch quantity by species, areas and regions and total are presented in the form of data cubes. Computational procedure estimates Shannon diversity index on data cubes respecting fish groups. The computation of descriptive statistics on time series containing the obtained values of Shannon index gives the opportunity for a comparative and multi-scale analysis on three levels: total, fish region and fish area. The computational procedure provides also the extraction of some specific features of the fish diversity dynamics. In addition, the differences and similarities between fish diversity of Greek regions and areas are discussed. The developed procedure and software can be also applied on other countries and regions on sea fish species and freshwater fish species. Finally, spatial and temporal estimation of fish diversity has ecological and economic aspects. The obtained information can be useful for an effective management of fish resources.