Learn from experts Dmitri (@DmitriAtSafe) and Jen (@mapgirll) everything you need to know about creating beautiful maps in FME. You’ll learn about the tools available to you for integrating various data sources, preparing the data, styling the output, and writing the map to the format of your choice. We’ll explain how to overcome key challenges (e.g. generalization) and show inspiring examples of beautiful maps made by FME users.

1. Car r y a F E:
The Science &
Art of Making
Beautiful Maps

2. Who we are:
Dmi B g Jen r Lu r T as F E
@DmitriAtSafe @mapgirll @SafeSoftware
®

3. Cartography,
is o t e c u s?

4. Agenda:

5. Data cleaning - us t a s m
Webinars:
How to exchange data between CAD and GIS
Microstation DGN how to integrate CAD and GIS

6. Data Enrichment Definition
Data enrichment - the process of adding information to
features based on their geometric and attributive properties
and their relationships with other features.

7. Data Enrichment Transformers
Information about features Information about surrounding features
AreaCalculator
LengthCalculator
AngularityCalculator
CircularityCalculator
BoundingBoxReplacer
… and MORE!
LeftRightSpatialCalculator
SpatialRelator, Overlayers
NeighborFinder
StreamOrderCalculator
DensityCalculator
BoundingBoxAccumulator
(Topfer Index) ...ev MO !

8. Data Enrichment Workflows

9. Data Enrichment Examples: Cir ri C l at

10. Data Enrichment Examples: Ne g rFi r

11. Data Enrichment Demo. St e Or Cal to

12. Data generalization
“Cartographic generalization, or map
generalization, is a method for deriving a
smaller-scale map from a larger scale
map or map data”
Wikipedia: Cartographic_generalization

13. Data generalization - useful transformers
Sim f
ge ri :
Generalizer,
SherbendGeneralizer
Com ar :
Dissolver,
AreaAmalgamator
Mod g o r e
to re em s:
Displacer,
MinimumAreaForcer
Red he b
of t e :
CurveFitter
Cha
Ge m y pe:
CenterLineReplacer,
CenterPointReplacer

14. Data generalization workflows

15. Data generalization. She n G er er

16. Data generalization. Dis c De

17. Data generalization. Dis c

18. Data generalization. Are ga r

19. Data visualization
“The creation and study of the
visual representation of data”
Wikipedia: Data_visualization

20. Data visualization - us t a s m
Col an S y e : FeatureColorSetter, DWGStyler,
MapInfoStyler, PDFStyler, MapBoxStyler, etc.
Lab : Labeller, LabelPointReplacer, MapTextLabeller
Ras s: VectorOnRasterOverlayer,
ImageRasterizer, RasterHillShader,
MapnikRasterizer

21. Data visualization. Stylers
.

22. Data visualization. Labels

23. MapTextLabeller. GU
Webinar: How to Automatically
Create Beautiful Cartographic Labels
Using the MapTextLabeller
Knowledge Center Article:
Introduction to
MapTextLabeller

24. MapTextLabeller - Out

25. MapnikRasterizer
Webinar:
The Secret to Mapnik Mastery
Knowledge Center Article:
Introduction to MapnikRasterizer

26. MapnikRasterizer

27. Formats/Destinations
CAD and GIS formats
PDF
MS Word, MS Powerpoint (FME
2018)
Rasters
Tile caches; Web / HTML page
(LeafletJS)
FME Server

28. Formats/Destinations:
Van er S t 6 fo t pe n

29. Cartographers using FME

30. h p ://ow we .wo p s.co /2017/06/14/og y-a t a n/

31. @owenjpowell

32. @owenjpowell

33. Holly Coxon, Sterling Geo

34. Holly Coxon, Sterling Geo

35. Hans van der Maarel, @redgeographics

36. @redgeographics

37. Joanna Hobbins, CA

38. JoannaHobbins,CA

39. Free F E Licenses for Home Use
If o s o s F E at to te f o n t , fu h ur
ed i n, or p ju t e s un – t e y ’re ib r a li s
of F E es p.
h p ://w .sa .co /f e -f e-li s /ho -us /
®
Ple ot t is us en n o b e f y od on m e c ur .

40. Q&A

41. Thank you!
Ad i na s i s?
Pos h t e Q&A For
t e The E Kno d Ce t