稀疏采样:监测流网络的空间设计

IF 11 Q1 STATISTICS & PROBABILITY

Statistics Surveys Pub Date : 2008-08-29 DOI:10.1214/07-SS032

Melissa J. Dobbie, B. Henderson, D. Stevens

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引用次数: 72

摘要

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。

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Sparse sampling: Spatial design for monitoring stream networks

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.

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来源期刊

Statistics Surveys STATISTICS & PROBABILITY-

CiteScore

11.70

自引率

0.00%

发文量

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.