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A statistical examination of British bird observatories data

Darby, Keith V. (1986) A statistical examination of British bird observatories data. Doctor of Philosophy (PhD) thesis, University of Kent. (doi:10.22024/UniKent/01.02.94295) (KAR id:94295)


British bird observatories data are examined from a statistical viewpoint. Consideration is given to the forming of indices of migration volume which can be used to monitor fluctuations in breeding population levels. The collection of daily counts of grounded migrants is discussed and simple graphical techniques are used to explore migratory behaviour of some common nocturnal migrants. The timing of migration is found to be related to population size as measured by the Common Bird Census. Statistical models are fitted to sequences of daily counts of grounded migrants but migration indices developed from these models are shown to offer no significant improvements over those based on the timing of migration. Linear discriminant analysis is shown to be a useful method of linking weather data with observatories data, and statistical models are developed for daily counts which utilise weather information.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Morgan, Byron J. T.
Thesis advisor: North, P.M.
DOI/Identification number: 10.22024/UniKent/01.02.94295
Additional information: This thesis has been digitised by EThOS, the British Library digitisation service, for purposes of preservation and dissemination. It was uploaded to KAR on 25 April 2022 in order to hold its content and record within University of Kent systems. It is available Open Access using a Creative Commons Attribution, Non-commercial, No Derivatives ( licence so that the thesis and its author, can benefit from opportunities for increased readership and citation. This was done in line with University of Kent policies ( If you feel that your rights are compromised by open access to this thesis, or if you would like more information about its availability, please contact us at and we will seriously consider your claim under the terms of our Take-Down Policy (
Uncontrolled keywords: Ornithological statistics
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
SWORD Depositor: SWORD Copy
Depositing User: SWORD Copy
Date Deposited: 20 Apr 2023 09:07 UTC
Last Modified: 20 Apr 2023 09:08 UTC
Resource URI: (The current URI for this page, for reference purposes)

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