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Header of the course A Toolkit of Ecological and Environmental Data Analysis - 2nd Edition


Organising committee








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A Toolkit of Ecological and Environmental Data Analysis
Data analysis is not only about statistical testing of hypotheses, but also (and more interestingly) about visualization of large and complex data sets. In spite of their complicated names, most of the modern data analysis methods are easy to understand and produce graphical results. They are designed to help address questions such as geographical distribution of communities, interactions between communities and their physical environment, ecological change through time in response to sudden or gradual environmental change (pollution, climate), and patterns of diversity. We will give a practical introduction to multivariate community analysis, spatial and time series analysis as applied to ecological, environmental and geological data. We will use the free software Past, but the same methods are found in other software. The previous course A Friendly Introduction to Ecological Statistics is sufficient background.

Participants are encouraged to bring their own data sets!


Dr. Øyvind Hammer instructor at Transmitting Science
Dr. Øyvind Hammer
(University of Oslo, Norway).

Organising committee:

Dr. Soledad De Esteban-Trivigno organiser committee at Transmitting Science
Dr. Soledad De Esteban-Trivigno

(Transmitting Science, Spain).
Dr. Jesús Marugán-Lobón organiser committee at Transmitting Science
Jesús Marugán-Lobón

(Universidad Autónoma de Madrid, Spain).



Basic knowledge of statistics or participation in the previous course A Friendly Introduction to Ecological Statistics.

All participants must bring their own personal laptop (Windows).




1st Day.

- Comparing communities: Distance measures.

- Looking for groups: Cluster analysis. UPGMA, Neighbour Joining.

  • Practice with software.

- Plotting community data: Ordination. Principal Coordinates Analysis, NMDS, Correspondence Analysis, CCA.

  • Practice with software.

2nd Day.

- Testing community data: ANOSIM, PerMANOVA, Mantel test.

  • Practice with software.

- Diversity measures and testing, rarefaction.

  • Practice with software.

3rd Day.

- The study of geographical distributions (spatial data): Spatial autocorrelation, semivariograms, gridding, point pattern analysis, directional analysis.

  • Practice with software.

- Change through time (time series): Trend, autocorrelation, spectral analysis, wavelets, filtering

  • Practice with software.


For further information contact: courses@transmittingscience.org.


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We accept donations, which would be entirely devoted to support students without financial resources so that theymay offset the cost of participating in our courses and workshops.