Summary
Ecological research is becoming increasingly
quantitative, yet students often opt out of courses in mathematics and
statistics, unwittingly limiting their ability to carry out research in the
future. This course provides a practical introduction to quantitative ecology
for students and practitioners who have realised that they need this
opportunity. The course’s practical value is enhanced by extensive use of
biological examples and the computer language R for graphics, programming and
data analysis.
Sessions
aRound. Installation and management of R packages. Review
of packages.
Input and output of data.
useR. R session. Elements of the language.
gRaphics. Plotting functions and parameters.
autoR. Basic R programming and automatize tasks.
wRite. Preparing statistical reports using R.
Rspatial. Analysis of vector and raster cartography.
aRtistics. Experimental design. Hypothesis contrast,
ANOVA. Basic multivariate statistics. Review of packages and methods.
multivaR. Diversity and multivariate analysis: ordination
and gradient analyses, ENFA (Ecological Niche Factor Analysis), habitat
suitability maps.
lineaR. Construction, optimization and evaluation of
linear models.
Representation and spatial interpretation.
modelaRt. Construction, optimization and evaluation of
non-linear models. Representation and spatial interpretation.
Prerequisites
This course requires some prior experience in statistics
and elemental mathematics. Knowing object-oriented programming is not needed.
We will provide students with a selection of data sets
with which to work, however participants are encouraged to bring their own
data.
ECTS Credits
Course corresponds to ECTS credits.
Grant results
Sara Valente
Nadja Velez
Joana Boavida
Inês Sousa
Inscriptions
Students*: 250 euros
Other participants: 350 euros
(*CCMAR Research Fellows are also included in this fee - 250€)
Important Dates
Start sessions: April, 8th
End sessions: April, 19th
Time
2:00pm - 6:00pm
Room
Sala 2.57 (Edf. 7) - Campus Gambelas - UAlg
07.03.2013