Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment
Agenda

Introduction to Handling Spatial Data and Mapping in R

Date: 13 November 2019 - 14 November 2019
Location: UFZ Leipzig, Germany

R is a powerful environment for statistical computing and graphics. However, it can be also used for spatial data analysis and mapping.

Contents

The course deals with the processing and analysis of spatial data in ecological and environmental research.

In particular, the following topics are covered:

  • Projections and transformations
  • Characteristics and structure of vector and raster data
  • Data processing (subset, mosaic, mask etc.)
  • Writing own functions for spatial data
  • Simple data analysis and spatial statistics
  • Making maps

Michael Strauch is a postdoctoral researcher at the Dept. Landscape Ecology, UFZ. His research is focused on assessing ecosystem services and biodiversity in agricultural landscapes, for which he utilizes integrated process-based models and machine learning algorithms.

Didactic Aims

Learn how to import, handle and analyse spatial data (vector, raster). Ability to use R as a GIS environment.

Didactic Elements

Lecture, data analysis exercises

Target Group

  • Doctoral Researchers
  • Postdocs & Senior Scientists
  • Technical Staff

Required Prior Knowledge

Basic knowledge of R, some idea of how to use Geographical Information Systems (GIS)

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Registration and fee

Participation fees do not apply to cooperation partners, i.e. PhD candidates of SENSE partner WIMEK.
The current conditions of participation and use apply.
Please note: In order to register, a personal account has to be created first.