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Fuzzy logic to address gradual patterns in species distribution and diversity (FLDD01)

11th May 2020 - 14th May 2020

£275.00 - £530.00

Course Overview:

Live beings are constantly in motion and occur with varying frequency across space. Hence, categorical occurrence maps are always incomplete and oversimplified representations of species’ actual distributions. Analyses that build on such categorical data, such as most diversity, overlap and (dis)similarity indices, overlook important gradations in species occurrence. Fuzzy logic is a valuable tool to formally address the locational uncertainty and gradual variations that characterize biodiversity patterns. This course will show how fuzzy logic can be incorporated in ecological analyses to improve the portrayal, understanding and prediction of species distribution patterns, with implications on (macro)ecological interaction, global change, biodiversity and biotic regionalization studies. We will work with a set of species distribution modelling methods that derive presence probability values (e.g. logistic regression, generalized additive models, tree-based classification and regression methods), which can be mathematically converted to fuzzy membership values. We will then see how these values allow more direct comparisons across species, regions and time periods. Finally, we will see how diversity and (dis)similarity indices, which normally require binary presence-absence data, can be generalized to work with fuzzy (degree of) occurrence data for both species and regions.

Intended Audience

The course is aimed at anyone (academic, government or industry) with an interest in analysing occurrence and diversity patterns of species and/or lineages.

Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB Google Map

Availability – 20 places

Duration – 5 days

Contact hours – Approx. 35 hours

ECT’s – Equal to 3 ECT’s

Language – English

Packages

We offer COURSE ONLY and ACCOMMODATION PACKAGES;
COURSE ONLY – Includes lunch and refreshments and welcome meal Monday evening.
ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, refreshments and welcome dinner Monday evening. Self-catering facilities are available in the accommodation.Accommodation is multiple occupancy (max 4 people) single sex en-suite rooms. Arrival Sunday 10th May (between 17:00-21:00) and departure Thursday 14th May (accommodation must be vacated by 09:15).

To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.

Other payment options are available please email oliverhooker@prstatistics.com

PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PR statistics) will be credited. However, PR statistics will not be held responsible/liable for any travel fees, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PR statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable.

 

Dr. Marcia Barbossa

 

 

Teaching Format
Course Programme
Testimonial

Details

Start:
11th May 2020
End:
14th May 2020
Cost:
£275.00 - £530.00

Venue

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

Tickets

20 available
FLDD01 'COURSE ONLY'£530.00‘COURSE ONLY’ £530.00 (INC VAT@20%)
20 available
FLDD01 ACCOMMODATION PACKAGE’£275.00FDD01 'ACCOMMODATION PACKAGE’ £275.00 (INC VAT@20%)