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Species distribution/occupancy modelling using PRESENCE and R (OCCU01) Deadline 15.06.18

25 June 2018 - 29 June 2018

This course is being provided through a collaboration of PR statistics and Proteus and will be delivered by Dr. Darryl MacKenzie

Course Overview:

The presence or absence of a species across a set of landscape units is a fundamental concept widely used in ecology (e.g., species range or distribution, epidemiology, habitat modeling, resource selection probability functions, as a monitoring metric, metapopulation studies, biodiversity and species co-occurrence). An important sampling issue, however, is that a species may not always be detected when present at a landscape unit. This will result in “false absences” causing parameter estimates to be biased if unaccounted for, possibly leading to misleading results and conclusions, even with moderate levels of imperfect detection.

This workshop will cover many of the latest methods for modeling patterns and dynamics of species occurrence in a landscape while accounting for the imperfect detection of the species.

Including:
• estimating level of occurrence at single point in time
• identifying factors that influence species occurrence
• creating species distribution maps
• modelling changes in distribution over time
• study design

Participants will be introduced to available software through worked examples, and there will be special emphasis on aspects of study design. While primarily aimed at the beginner and intermediate level, more experienced researchers will also benefit from attending.

The first four days will comprise of formal lectures and exercises, and the final morning will be an informal discussion/consulting session where participants can work on their own data, talk one-on-one with the instructor, etc.

To find out more or to book online via Proteus use the link below…
proteus.co.nz/courses

Details

Start:
25 June 2018
End:
29 June 2018

Venue

PR statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map
Phone:
07966500340
Website:
www.prstatistics.com