Scientific Graphics

04-GEO-SOS1

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

Designing scientific graphics that provide all necessary information without being too packed, focusing on the essential message and being able to actually create such graphics will be covered In this class. All necessary tools and and approaches to create adequate figures and maps will be covered.

 

Content

figure from the book “Remote Sensing and GIS for Ecologists” by Wegmann, Leutner and Dech, created with tikz

General guidelines of scientific graphics and maps will be covered based on e.g. Tufte and followed by practical implementation of graphic ideas, as well as critical evaluation of the results. Only open source program will be used such as R or tikz/pgf and students will have the opportunity to work specifically on certain scientific graphics or maps using e.g. ggplot2 and explore the potential and limits of good scientific graphs. Good map designs will be discussed as well and common mistakes will be pointed out. After this course you will be capable to create your own graphics for a specific scientific purpose e.g. your M.Sc. thesis.

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, such as R or tikz/pgf

Techniques

Different visualization techniques will be introduced and practically applied.
w

Content

The goal of scientific graphics with regard to the audience will be discussed.

General Course News and Updates

EAGLE students coding with sweets

EAGLE students coding with sweets

Today our EAGLE students applied data munging, pipes, plotting and statistics using colour distribution of sweets. They specifically used the dplyr, ggplot, kableExtra and others to compute derivatives, rearrange the data, plot it and run statistics on colour...

read more
Spatial Python block course

Spatial Python block course

Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed...

read more