Dr Lindesay Scott-Hayward:
Senior Research Fellow (seconded to Office of the Principal)

Dr Lindesay Scott-Hayward
The Observatory
Buchanan Gardens
University of St Andrews
St Andrews
KY16 9LZ
Fife
UK

tel: 01334 461824
fax: 01334 461800
room: 128
email: lass@st-andrews.ac.uk

Related Content:

Departmental website

Centre for Research into Ecological & Environmental Modelling
Sea Mammal Research Unit
School of Mathematics & Statistics
National Centre for Statistical Ecology
Scottish Oceans Institute

edit lass details

Details about my research, teaching and industry involvement can be found here:

http://lindesay80.wix.com/lasscotthayward

Research: Use of spatially adaptive smoothing (SALSA methods) and geodesic distance (CReSS method) for modelling species distributions. Of particular interest is analysis of environmental impact assessment survey data.

PhD: Predicting the distribution of marine organisms in spatially complex regions.

Research Interests:

• Developing methods for environmental impact assessment
  • Spatially adaptive smoothing
  • Correlated data
  • Areas of complex topography (two dimensional smoothing using geodesic distances)
• Splines
• Radial basis functions

Workshop Teaching:

• Introduction to Statistical Modlling
• Spatial modelling methods for correlated data (splines, GAMs, GEEs)
• Using the MRSea R-package
• Distance Sampling

Project Manager:

• Managing an EPSRC funded project: Ecological Survey Spatial Modelling (ESSMod)
• Modelling spatial distribution and change from wildlife survey data (ESSMod).
• Key words: Distance Sampling, SECR, INLA

Reports and Software:

• Marine renewables strategic environmental assessment: Statistical Modelling of bird and cetacean distributions in off-shore renewables development areas (2013; contract for Marine Scotland (SB9 (CR/2012/05))
  • Guidance document
  • MRSea R-package
  • MRSea User Guide and reference manual

• Paxton, C.G.M., Scott-Hayward, L.A.S. & Rexstad, E. 2014. Statistical approaches to aid the identification of Marine Protected Areas for minke whale, Risso’s dolphin, white-beaked dolphin and basking shark. Scottish Natural Heritage Commissioned Report No. 594.

Talks:

• Uncertainty in an Ecological Setting: Regresion based models. (Understanding Uncertainty in Ecological Modelling, January 2015, LSE)
• Methods Comparison Exerciese: statistical modelling in renewables developments areas (ISEC Talk 2014) (International Statistical Ecology Conference)
• EIMR Talk 2014 and extended abstract (Environmental Interactions of Marine Renewable Energy Technologies)
• ECS Talk 2013 (European Cetacean Society)

Recent Publications: