Ecological Data Analysis - EcoDAR2015

SCHOOL OF THE ENVIRONMENT - Department of Environment
SCHOOL OF THE ENVIRONMENT - Department of Marine Sciences
6 Jul 2015 to 11 Jul 2015
Lesvos

Topics that will be covered in the Summer School include:

Topic 1: Introduction to R Software and Programming Language with Practicals.

Topic 2: Classic Statistical Methods (e.g. Hypothesis Testing, Confidence Intervals, ANOVA, Linear Regression) with Practicals.

Topic 3: Advanced Statistical Methods (e.g. Multivariate Data Analysis, GAMs, GLMMs, Mixed Effects Models, Spatial Data Analysis, Non-Linear Models) with Practicals.

Topics 4: Case-studies in Ecology. 

  

Programme (10/3/2015)

 

 

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

9-10

R basics

(Besbeas, Matthiopoulos, Dimitrakopoulos)

Graphics in R (Besbeas)

Hypothesis Testing and Confidence Intervals (Matthiopoulos)

GAMs, More Flexible Models (Matthiopoulos)

Multivariate Data Analysis

(Fyllas)

Biodiversity Data Analysis

(Tsirtsis)

10-11

Data Objects: Vectors, Matrices, Lists

(Besbeas, Kokkoris, Fyllas)

Graphics in R (Besbeas)

Analysis of Variance (Fyllas)

Practicals - GAMs, More Flexible Models (Matthiopoulos)

Practicals –Multivariate Data Analysis

(Fyllas, Kokkoris)

Biodiversity Data Analysis

(Tsirtsis)

 

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

11-12

Data Objects: Vectors, Matrices, Lists

(Besbeas)

Linear Regression (Besbeas)

Probabilities, likelihoods and distributions (Matthiopoulos)

Mixed Effects Models (Matthiopoulos)

Practicals – Multivariate Data Analysis

(Fyllas, Kokkoris)

Summer School evaluation questionnaire

12-13

Data Input

(Besbeas)

Linear Regression (Besbeas)

General Linear Models, GLMs (Matthiopoulos)

Practicals – Mixed Effect Models (Matthiopoulos)

Non-Linear Regression (Besbeas)

 Students’ Evaluation

13-14

Statistical Functions (Besbeas)

Practicals - Linear Regression (Besbeas, Fyllas)

General Linear Models, GLMs (Matthiopoulos)

Practicals – Mixed Effect Models (Matthiopoulos – Fyllas)

Non-Linear Regression (Besbeas)

 Students’ Evaluation 

14-15

Lunch

Lunch

Practicals – GLMs (Matthiopoulos, Fyllas)

Lunch

Lunch

 

15-16

 

Statistical Functions (Besbeas)

Programming in R

(Matthiopoulos)

Lunch

Spatial Data Analysis and Modeling (Matthiopoulos)

Practicals – Non-Linear Regression (Besbeas)

 

 

Coffee break

Coffee break

Free Time

Coffee break

Coffee break

 

16-17

Data Analysis

(Besbeas)

Programming in R

(Matthiopoulos)

Free Time

Spatial Data Analysis and Modeling (Matthiopoulos)

Environmental Data Analysis on Coastal Management (Tsirtsis)

 

17-18

Data Analysis

(Besbeas)

Programming in R

(Matthiopoulos)

Free Time

Practicals - Spatial Data Analysis and Modeling (Matthiopoulos, Besbeas)

Environmental Data Analysis on Coastal Management (Tsirtsis)

 

21.00-

 

 

Formal Dinner