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Blockveranstaltung: 08-27-GS-1 Introduction to R data analysis and visualization for geography and geosciences - Details

Blockveranstaltung: 08-27-GS-1 Introduction to R data analysis and visualization for geography and geosciences - Details

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General information

Course name Blockveranstaltung: 08-27-GS-1 Introduction to R data analysis and visualization for geography and geosciences
Subtitle
Course number 08-27-GS-1
Semester SoSe 2025
Current number of participants 10
expected number of participants 15
Home institute Geographie
Courses type Blockveranstaltung in category Teaching
First date Tuesday, 08.04.2025 10:00 - 12:00, Room: GW2 B2760 (CIP-FB 8)
Type/Form
Participants Zielgruppe: Bachelor students who have little or no experience with a programming language such as R.
Pre-requisites It is useful to have your own laptop with Windows, MacOS or Linux, at least 3 GB of storage space on the hard drive, a 64-bit processor and at least 4 GB (better 8 GB) of RAM. Alternatively, a computer in the CIP room can be used. Limited to 15 participants.
Performance record Studien- und Prüfungsleistungen,
Prüfungsformen:
Exercises
Final assignment.
Englischsprachige Veranstaltung Ja
ECTS points 3

Module assignments

Comment/Description

The lectures provide an introduction to the R programming language. The focus is on data processing and visualization with the following content:

1. Understand R language and navigate the RStudio software
2. R basics: manipulate different data structures: vectors, matrices, dataframes, lists; install code packages and use functions; manage the working directory and its environment
3. Data management: read in, edit, filter, merge and analyse data sets
4. Data visualization with most common graphs (scatterplot, boxplot, bar graph, time series plot); customize graph text and aesthetics.
5. Basic analyses: regression and ordination methods
6. Introduction to packages: ggplot, vegan, rioja.

All content is accompanied by practical exercises (during the course and as homework).

Lernziele/Kompetenzen:
The lectures aim is to teach students basic concepts, skills, and tools for working with the R software so that they can develop a basic understanding for working with R and basic analyses for upcoming student tasks. The lectures are designed for those interested in working with scientific data in R

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.