Introduction to remote sensing and GIS for ecological applications
(IRMS01)
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/
When - 27 November 2017 - 1 December 2017
Where - Margam Discovery Centre, Magram Park, Port Talbot , SA13 2UA
United Kingdom
Who - This course will be delivered by Prof. Duccio Rocchini and Dr.
Luca Delucchi
Course Overview:
This course is highly relevant to people studying any spatial aspect of
marine mammals. The use of remote sensing data is increasing and with it
the sophistication in its applications making it a valuable resource for
marine mammal researchers. The course will deal with different aspects
related to the use of remote sensing and GIS in spatial ecology by using
the Free and Open Source Software GRASS GIS coupled with R. By the end
of this 5-day practical course, attendees will have the capacity to deal
with ecological patterns and processes by using GIS and remote sensing
algorithms. The increasing availability of open ecological and
geographical data through networks such as the Global Biodiversity
Information Facility (GBIF, http://www.gbif.org) or the Data Observation
Network for Earth (DataONE) federated data archive
(http://www.dataone.org) makes it increasingly possible to test
cutting-edge ecological theories. In using a shared open-source code for
testing these ecological theories, researchers can be sure that their
results are reliable and also that the code they have used is robust.
Attendees will be able to process spatial and ecological data by free
and open source algorithms. The course will be mainly practical, but
grounded on robust theory. All the analyses will be performed in GRASS
GIS and the code will be shared with attendees.
Day 1:
Introduction to GIS and Remote Sensing concepts. a theoretical
introduction to the main GIS and RS concepts.
Day 2:
GRASS GIS: Introduction to the GRASS GIS software; Open source
coding; main GIS analysis possibilities.
Day 3:
Spatial Ecology and application of RS algorithms to solve
ecological issues.
Day 4:
Use the GRASS GIS temporal framework to analyse big data.
Day 5:
Throughput scripting in bash and python.
Email oliverhoo...@prinformatics.com or visit www.prinformatics.com for
more details.
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--
Oliver Hooker PhD.
PR statistics
2017 publications -
Ecosystem size predicts eco-morphological variability in post-glacial
diversification. Ecology and Evolution. In press.
The physiological costs of prey switching reinforce foraging
specialization. Journal of animal ecology.
prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/
6 Hope Park Crescent
Edinburgh
EH8 9NA
+44 (0) 7966500340
--
Oliver Hooker PhD.
PR statistics
2017 publications -
Ecosystem size predicts eco-morphological variability in post-glacial
diversification. Ecology and Evolution. In press.
The physiological costs of prey switching reinforce foraging
specialization. Journal of animal ecology.
prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/
6 Hope Park Crescent
Edinburgh
EH8 9NA
+44 (0) 7966500340
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