Sparse sampling: Spatial design for monitoring stream networks

IF 11 Q1 STATISTICS & PROBABILITY Statistics Surveys Pub Date : 2008-08-29 DOI:10.1214/07-SS032
Melissa J. Dobbie, B. Henderson, D. Stevens
{"title":"Sparse sampling: Spatial design for monitoring stream networks","authors":"Melissa J. Dobbie, B. Henderson, D. Stevens","doi":"10.1214/07-SS032","DOIUrl":null,"url":null,"abstract":"Spatial designs for monitoring stream networks, especially ephemeral systems, are typically non-standard, `sparse' and can be very complex, reflecting the complexity of the ecosystem being monitored, the scale of the population, and the competing multiple monitoring objectives. The main purpose of this paper is to present a review of approaches to spatial design to enable informed decisions to be made about developing practical and optimal spatial designs for future monitoring of streams.","PeriodicalId":46627,"journal":{"name":"Statistics Surveys","volume":"36 1","pages":"113-153"},"PeriodicalIF":11.0000,"publicationDate":"2008-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics Surveys","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1214/07-SS032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 72

Abstract

Spatial designs for monitoring stream networks, especially ephemeral systems, are typically non-standard, `sparse' and can be very complex, reflecting the complexity of the ecosystem being monitored, the scale of the population, and the competing multiple monitoring objectives. The main purpose of this paper is to present a review of approaches to spatial design to enable informed decisions to be made about developing practical and optimal spatial designs for future monitoring of streams.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
稀疏采样:监测流网络的空间设计
监测河流网络的空间设计,特别是短暂的系统,通常是非标准的,“稀疏”的,可能非常复杂,反映了被监测生态系统的复杂性,人口的规模,以及相互竞争的多个监测目标。本文的主要目的是回顾空间设计的方法,以便为未来的河流监测开发实用和最佳的空间设计做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Statistics Surveys
Statistics Surveys STATISTICS & PROBABILITY-
CiteScore
11.70
自引率
0.00%
发文量
5
期刊介绍: Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.
期刊最新文献
White noise testing for functional time series Spline local basis methods for nonparametric density estimation Core-periphery structure in networks: A statistical exposition Kronecker-structured covariance models for multiway data A brief and understandable guide to pseudo-random number generators and specific models for security
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1