以鄂霍次克海为例,将一度梯形分组为生物统计区域

A. F. Volkov
{"title":"以鄂霍次克海为例,将一度梯形分组为生物统计区域","authors":"A. F. Volkov","doi":"10.26428/1606-9919-2023-203-710-721","DOIUrl":null,"url":null,"abstract":"A method for grouping one-degree trapezoids into biostatistical areas of any size is proposed. For this purpose, all stations of survey are marked by the number of trapezoid, its area and central coordinates. Then the stations are sorted by the trapezoid numbers; their biological parameters (biomass, abundance, etc.). The mean values are integral parameters with the weights proportional to size of trapezoids — they can be easily grouped into small or large areas of any shape, depending on research tasks.","PeriodicalId":491504,"journal":{"name":"Известия Тихоокеанского научно-исследовательского рыбохозяйственного центра","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Grouping one-degree trapezoids into biostatistical areas on example of the Okhotsk Sea\",\"authors\":\"A. F. Volkov\",\"doi\":\"10.26428/1606-9919-2023-203-710-721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for grouping one-degree trapezoids into biostatistical areas of any size is proposed. For this purpose, all stations of survey are marked by the number of trapezoid, its area and central coordinates. Then the stations are sorted by the trapezoid numbers; their biological parameters (biomass, abundance, etc.). The mean values are integral parameters with the weights proportional to size of trapezoids — they can be easily grouped into small or large areas of any shape, depending on research tasks.\",\"PeriodicalId\":491504,\"journal\":{\"name\":\"Известия Тихоокеанского научно-исследовательского рыбохозяйственного центра\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Известия Тихоокеанского научно-исследовательского рыбохозяйственного центра\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26428/1606-9919-2023-203-710-721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Известия Тихоокеанского научно-исследовательского рыбохозяйственного центра","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26428/1606-9919-2023-203-710-721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种将1度梯形划分为任意大小的生物统计区域的方法。为此,所有测量站都标有梯形的数目、面积和中心坐标。然后根据梯形数对站点进行排序;它们的生物学参数(生物量、丰度等)。平均值是积分参数,其权重与梯形的大小成正比——根据研究任务,它们可以很容易地分成任何形状的小区域或大区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grouping one-degree trapezoids into biostatistical areas on example of the Okhotsk Sea
A method for grouping one-degree trapezoids into biostatistical areas of any size is proposed. For this purpose, all stations of survey are marked by the number of trapezoid, its area and central coordinates. Then the stations are sorted by the trapezoid numbers; their biological parameters (biomass, abundance, etc.). The mean values are integral parameters with the weights proportional to size of trapezoids — they can be easily grouped into small or large areas of any shape, depending on research tasks.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信