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The statistical basis of sampling strategies for rivers: an example using River Habitat Survey

Jeffers, J.N.R. (1998) The statistical basis of sampling strategies for rivers: an example using River Habitat Survey. Aquatic Conservation-Marine and Freshwater Ecosystems, 8 (4). pp. 447-454. ISSN 1052-7613. (doi:10.1002/(SICI)1099-0755(199807/08)8:4<447::AID-AQC288>3.0.CO;2-R) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:17382)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1002/(SICI)1099-0755(199807/0...

Abstract

1. This paper describes the statistical basis of River Habitat Survey. 2. The basic requirement of any survey based on a sample of all possible river sites is that the sample should provide unbiased estimates for the defined population of rivers and streams. Methods for ensuring a lack of bias and habitat characteristics include the definition of an appropriate sampling frame and the use of stratification to reduce the variability of the sampled population. 3. Alternative sampling strategies are reviewed and the reasons given for choosing a strategy based on random samples from a systematic stratification of 10 x 10 km Ordnance Survey National Grid squares. 4. The shape and size of the sample units are discussed in relation to the kinds of information required from the survey; the kinds of variables and attributes recorded in the survey are discussed in relation to the available methods of analysis and interpretation, and future development of the survey is discussed in relation to the likely changes in requirements for information about rivers and their habitats.

Item Type: Article
DOI/Identification number: 10.1002/(SICI)1099-0755(199807/08)8:4<447::AID-AQC288>3.0.CO;2-R
Uncontrolled keywords: River Habitat Survey; sampling strategies; statistical analysis; river features
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: M.A. Ziai
Date Deposited: 29 Jun 2011 08:09 UTC
Last Modified: 16 Nov 2021 09:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/17382 (The current URI for this page, for reference purposes)

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