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Dr. Guido Kraemer

Academic Staff

Umweltdatenwissenschaften und Fernerkundung
Institutsgebäude
Talstraße 35, Room 2-17
04103 Leipzig

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Abstract

PostDoc at the RSC4Earth group, University of Leipzig. His research interest include the interactions between society and the biosphere and describing systems by summarizing indicators.

- Interactions between society and biosphere

- Machine Learning

- Data Cubes

- Indicators

Personal Website: https://www.guido-kraemer.com

Professional career

  • since 11/2019
    PostDoc: Uni Leipzig, RSC4Earth

Education

  • 03/2008 - 12/2012
    BSc/Ing: Tropical Rainforest Ecology, UNAP Iquitos.
  • 09/2013 - 06/2015
    MSc: Ecology, Evolution, and Systematics, Jena University
  • 09/2015 - 01/2021
    PhD: Low-Dimensional Representations of Earth System. Valencia University/Max Planck Institute for Biogeochemistry, Jena
  • since 09/2021
    Teaching Certification HDS

I develop indicators that summarize systems in few dimensions using dimensionality reduction. These indicators describe the overall behaviour of the system and the behaviour of the the objects contained in it in few dimensions that can be analysed more easily.


These indicators are very good at extracting general patterns from complex databases and that it can be applied to databases of very varying characteristics. We also find that indicators arevery good at extracting different kinds of changes occurring in the system,such as extreme events, permanent changes or trends. Therefore it is avery useful tool for general monitoring and exploratory data analysis. The approach is very flexible and can be applied to complex datasets, such aslarge data, nonlinear data, as well as data with many missing values.

Courses:

  • Multivariate Statistics
  • Introduction to R
  • Geodata analsysis
  • Research Data Management

  • Introduction to R

    12-GGR-B-02: Basics for data analysis using the R programming language.

  • Multivariate Statistics

    12-GGR-M-AG12: Statistical Analysis of multivariate geodata with applications in economic and social geography.

  • Geodata analysis

    12-GGR-M-GFA1:

    • Geographic information systems using the programming language R
    • Interpretation and analysis of geographic question
    • Visualization of scientific data