Introduction to PostGIS

Level:

Beginner

Duration:

1 days

Dates & Duration

The course can be booked as a stand-alone course or as an extension of any of our PostgreSQL courses.

 

This training can also be held at your location, or as online training specifically tailored for your company. In that case, the course agenda can also be adapted to best suit your needs.

Learn more about our customized training >>

 

See the available dates for this course!
If there is no date and time available for a certain training session you are interested in, please contact us.

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This course is held online and takes 2 days with 4 hours each.

Summary

This course provides an introduction to PostGIS and its most important features and capabilities. From spatial data types to spatial joins, the training will cover all topics concerning quickstart spatial data management and analysis within PostgreSQL. Along with gaining theoretical knowledge, participants will work with real-world datasets to deepen and reinforce their practical skills.

 

Basic experience with PostgreSQL is required.

Available Languages

This course can be held in English or German.

Theoretical part

Introduction

  • Setup and maintenance of PostGIS
  • Tooling (Import, Export, ETL)
  • Storage and management of spatial data

Spatial data types and indices

  • Spatial data types
    • Geometry
    • Geography
  • Spatial index
    • GIST
    • SP-GIST
    • BRIN

Spatial functions

  • Core functions
    • Output
    • Construction
    • Accessor and setter
    • Measurement functions
    • Composition functions
    • Decomposition functions
    • Simplification functions
  • Topological functions
    • Bounding boxes
    • Equality
    • Relations
    • Spatial joins
  • Special Functions for processing and analysis
    • Spatial aggregation
    • Clipping, splitting, tesselation
    • Segmentation
    • Translation, scaling and rotation

Practical part

Introducing the dataset & Exercises

  • Import/Export spatial data
  • Validating and fixing spatial data
  • Analyzing spatial data
  • Visualizing spatial data