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Statistical Cartography - 2024

Statistical Cartography 
Course LeaderMirosław MIGACZ
Target GroupStatisticians working in the field of Earth observation, geographic information systems and statistics, who would like to gain knowledge and practical skills on using cartographic representation methods to visualize statitiscal data.
Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
  • Basic computer skills, basic skills in working with tabular data (e.g. MS Excel).
  • Basic skills in working with GIS (e.g. QGIS Desktop software) are required for exercises.
  • Provide an introduction to cartographic design principles for statistical map design.
  • Introduce basic and advanced cartographic representation methods with practical examples on statistical data.
  • Provide guidelines for creating maps for online publication and for printout.
  • Geographic information systems (GIS) for statistics
  • Basics of statistical map design
  • Overview of tools for statistical mapping
  • Integrating statistical data with geospatial information for mapping purposes
  • Geographies for representing statistics
  • Basic cartographic representation methods and their uses
  • Basic principles for representing statistical data on maps
  • Data classification methods
  • Advanced cartographic representation methods and their uses
  • Online maps vs maps for publications: good practices for preparing map printouts
Expected OutcomeParticipants will gain understanding of cartographic design principles for statistical map design. Participants will gain knowledge on cartographic representation methods and principles for using them with the correct type of data and parameters. Participants will gain hands-on experience with online and/or desktop (e.g. QGIS) tools for creating statistical maps.
Training Methods
  • Presentations and lectures (incl. live demonstrations)
  • Exchange of views/experiences on national practices
  • Exercises
Required ReadingNone
Suggested Reading
Required PreparationPrepare tables with statistical data from your domain or of your choosing to use for thematic mapping during the course.


Mirosław Migacz (independent expert)

Amelia Wardzinska-Sharif (independent expert)



Practical Information    
WhenDurationWhereOrganiserAPPLICATION VIA National Contact Point
10 - 12 April 20243 daysCologne, Germany


Public Sector GmbH

Deadline: 12.02.2024


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