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Oliver Hooker (Course Organiser)

Works at – PR statistics (Director)

Oliver started his PhD in ecology and evolutionary biology in June 2012 at the University of Glasgow. At present his research is in the area of ecologically driven evolution and speciation in postglacial fish, and how these processes complicate the application and planning of successful conservation strategies, especially in species that exhibit high levels of phenotypic structuring. Some of his work includes studying anthropogenic influences to phenotypic structuring within populations of Arctic charr (Salvelinus alpinus) as well as investigating the physiological mechanisms that may drive and/or maintain ecologically driven speciation. In particular Oliver is interested in furthering the understanding of how genetic isolation arises in sympatric polymorphic populations of Arctic charr and brown trout, (Salmo trutta).

Prior to his PhD Oliver attended the University of Hull from September 2009 – June 2012 where he achieved a first class degree (83% average) with honours in Marine and Freshwater Biology. He was awarded the departmental prize (for outstanding work) in both his second and third year. Oliver set up PR~statistics in April 2014 with the aim of providing specific  training courses and workshops for people at varying stages of their academic career, delivered by experts in these fields.

PUBLICATIONS

Adams, C. E., Bean, C. W., Dodd, J. A., Down, A.,  Etheridge, E. C., Gowans, A R. D., Hooker, O. E.,  Knudsen, R.,  Lyle, A. A., Winfield, I. J. & Præbel, K. (2015) Inter and intra-population phenotypic and genotypic structuring in the European whitefish, Coregonus lavaretus, a rare freshwater fish in Scotland. Journal of Fish Biology. In Press.

Hooker, O. E., Barry, J., Van Leeuwen, T., Lyle, A., Newton, J., Cunningham, P. & Adams, C. E. (2015) Morphological, ecological and behavioural differentiation of sympatric profundal and pelagic Arctic charr (Salvelinus alpinus) in Loch Dughaill Scotland. Hydrobiologia. In press.

Morphological, ecological and behavioural differentiation of sympatric profundal and pelagic Arctic charr (Salvelinus alpinus) in Loch Dughaill Scotland

Van Leeuwen, T., Hooker, O. E., Metcalfe, N. & Adams, C. E. (2015) Differences in diet-induced flexibility in morphology and growth in a partially migratory species. Canadian Journal of Fisheries and Aquatic Sciences. [DOI 10.1139/cjfas-2015-0300]

Differences in diet-induced flexibility in morphology and growth in a partially migratory species

Hooker, O.E., Maitland, P. S., Bean, C. W. & Adams, C. E. (2015) Effectiveness of Local Biodiversity Action Plans to Identify Locally Rare and Endangered Fish in Scotland. Scottish Geographical Journal 1-11. [doi.org/10.1080/14702541.2015.1077267]

Effectiveness of Local Biodiversity Action Plans to Identify Locally Rare and Endangered Fish in Scotland

Barry, J., Newton, M., Dodd, J. A., Hooker, O. E., Boylan, P., Lucas, M. C. & Adams, C. E. (2015) Foraging specialisms influence space use and movement patterns of the European eel Anguilla Anguilla. Hydrobiologia 1-16. [DOI 10.1007/s10750-015-2466-z]

Foraging specialisms influence space use and movement patterns of the European eel Anguilla Anguilla

Upcoming Events

May 2020

Generalised Linear (GLM), Nonlinear (NLGLM) And General Additive Models (GAM) (GNAM02)

25 May 2020 - 29 May 2020
PS statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: This course provides a general introduction to nonlinear regression analysis, covering major topics including, but not limited to, general and generalized linear models, generalized additive models, spline and radial basis function regression, and Gaussian process regression. We approach the general topic of nonlinear regression by showing how the powerful and flexible statistical modelling framework of general and generalized linear models, and their multilevel counterparts, can be extended to handle nonlinear relationships between predictor and outcome variables. We begin…

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June 2020
£275.00 - £1120.00

Advanced Python for biologists (APYB04)

29 June 2020 - 3 July 2020
PR informatics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course overview: Python is a dynamic, readable language that is a popular platform for all types of bioinformatics work, from simple one-off scripts to large, complex software projects. This workshop is aimed at people who already have a basic knowledge of Python and are interested in using the language to tackle larger problems. In it, we will look in detail at the parts of the language which are particularly useful in scientific programming, and at the tools Python offers for…

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December 2020

A Quickstart Guide to Plants and Drones for Professionals

1 December 2020 - 2 December 2020
PR informatics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: The Quick-start Guide to Plants and Drones is a FREE course! The goal of this course is to bring students up to speed quickly on the commercial drone industry and specifically where plant mapping fits in. The class provides a general overview of where the drone industry has been and where it is headed next, specifically as it relates to plant-related industries, including agriculture, forestry, scientific, and more. This course assumes you are a professional (or want to…

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Phytomappers Pro,: A Master Class for Mapping Plants With Drones

1 December 2020 - 2 December 2020
PR informatics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: Phytomappers Pro was created to scale drone education for agricultural and other related verticals, such as scientific, forestry, and environmental consultancies. This course walks step-by-step through everything you'd need to know to get started mapping plants professionally, including: • The theory behind vegetation indices, such as NDVI • Best-practices for image capture • Drone and camera hardware • Mission planning software • Image processing and data outputs using Pix4D • Cloud tools • Example datasets We teach you…

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