FME Beginner Course

In this lesson you will read data from a GeoPackage, connect multiple processing steps, and write the results to a CSV. You will extract and reproject coordinate information, then calculate lengths using different projections to prepare the data for later spatial analysis.

Readers

• Rivers - from Geopackage

Transformers

• Coordinate System Extractor

• Length Calculator

• Reprojector

Writers

• Reprojected Rivers CSV

  
  

In this lesson you will use the arithmetic editor and conditional values to create new attributes from your existing data. You will learn how to build flexible logic that supports more detailed analysis later in the course.

Readers

• Reprojected Rivers CSV

Transformers

• Attribute Manager

• Attribute Creator

• Sorter

Writers

• Populated Places Classified CSV

• River Length Difference CSV

  
  

In this lesson you will learn how to use the FME Data Inspector to view, explore and validate your data at any stage of a workflow. The Data Inspector is a visual tool that lets you inspect features, attributes and geometry to understand exactly what is happening in your transformation process.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

Transformers

• Inspector

Writers

• No writer required.

  
  

In this lesson you will learn how to filter data to control what flows through your workspace. You will use tests and conditional logic similar to if, elif and else to separate, organise and refine features based on their attributes.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

Transformers

• Tester

• Test Filter

Writers

• No writer required

  
  

In this lesson you will explore spatial relationships between multiple datasets. You will use spatial filtering and relational testing to understand how features interact and to pass attributes between them based on those relationships.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

Transformers

• Test Filter

• Spatial Filter

• Spatial Relator

• List Concatenator

  
  

Writers

• No writer required

  
  

In this lesson you will learn how to work with lists in FME. You will build lists, use list based transformers, and manage structured data so you can handle more complex relationships and multi value attributes within your workflows.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

Transformers

• Attribute Remover

• Spatial Realtor

• Test Filter

• List Concatenator

• List Searcher

• List Sorter

• List Element Counter

• List Exploder

Writers

• No writer required

  
  

In this lesson you will use Neighbour Finder to understand spatial relationships between two datasets that do not intersect. You will compare its results with buffer based tests and spatial relationship checks to see how each approach behaves and when to use them.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

• Airports - from Geopackage

Transformers

• Attribute Remover

• Attribute Manager

• Spatial Relator

• Reprojector

• Bufferer

• Test Filter

• Neighbour Finder

• List Element Counter

Writers

• No writer required

  
  

In this lesson you will use the Feature Merger to combine a non-geospatial dataset with a geospatial one. You will match records, bring attributes across and learn how to integrate external information into your spatial workflow.

Readers

• Countries - from Geopackage

• Populated Places CSV - from Lesson 1 outputs

Transformers

• Attribute Remover

• Attribute Renamer

• Attributre Manager

• Attribute Rounder

• Test Filter

• Feature Merger

• Sorter

Writers

• Populated Places Calculated Population Percentage CSV

  
  

In this lesson you will learn how to modify geometry by converting polygons into points and lines, and by extracting key locations such as the start, middle and end points of line features.

Readers

• Rivers - from Geopackage

• Countries - from Geopackage

Transformers

• Centre Point Replacer

• Deaggregator

• Geometry Coercer

• Test Filter

• Vertex Remover

• Snipper

Writers

• No writer required

  
  

In this lesson you will map your workspace attributes to match an external dataset and expose the values needed for later processing. You will use SchemaMapper to handle name changes and attribute alignment efficiently, without the need for manual renaming.

Readers

• Countries - from Geopackage

Transformers

• Schema Mapper

• Attribute Remover

• Attribute Exposer

• Attribute Manager

Writers

• Countries With New Schema CSV

  
  

In this final project you will apply everything learned in the course to complete a full spatial analysis workflow. Your tasks are:

Main Task

• Determine how many populated places with a population of at least 1 million are located within 10 km of a river.

Bonus Tasks

• Identify how many of those populated places have more than one river within 10 km.

• Calculate how many rivers are within 10 km of Paris, France.

Hints

• Rename the name field in both the populated places and river datasets.

• Reproject all data into a suitable projected CRS, for example EPSG 3857.

• Creating a list of nearby rivers and concatenating it will simplify the bonus tasks.