The document discusses automating the production of 1:50,000 scale maps using FME. It presents the problems of synchronizing map updates with territorial changes and inefficient production methods. The proposed solution involves reading geospatial data from a PostGIS database, merging feature attributes, writing a symbolized geoPDF, and rasterizing the geoPDF combined with a shading raster. This automated process using FME allows maps to be updated quickly as the territory changes while maintaining quality standards and minimizing production times.

1. Automatic Map production 1:50,000 scale.
Symbology and raster creation for web
services view and download services

2. Presenter
The
Peak
of
Data
Integration
20
23
Santiago Prieto del Caño
Engineer
National Geographic Institute of Spain
(IGN)

3. The
Peak
of
Data
Integration
20
23
Agenda
In this presentation, it will be shown how, through FME, the automatic
production of maps becomes easier.
I will review 3 reasons why automation in map production is essential
today:
● Satisfying citizens' demand for information
● Speed in the implementation of information updates of the territory.
● Fast response time to changes in the territory for mapping
production.

4. The
Peak
of
Data
Integration
20
23
Introduction

5. The
Peak
of
Data
Integration
20
23
1:50,000 SCALE MAP
A NEW ERA OF
AUTOMATION
WITH FME

6. The
Peak
of
Data
Integration
20
23
Offer More
The automation of mapping production will help us to:
• Reproduce in the cartography the changes that occur in the territory.
• Multi-scale process (1:50,000 and 1:25,000 scale)
• Speed in production. A geoPDF + raster every 8 minutes. A geoPDF file for downloads
(with UTM grid), another for services (with UTM grid), a raster map for downloads
(with UTM grid) and another for services (without UTM grid).

7. The
Peak
of
Data
Integration
20
23
Change in MTN50 production. Traditional
production VS today’s production
MTN50
X1079
sheets
2017 2020 2021
1857 2023

8. The
Peak
of
Data
Integration
20
23
Map: The current output
Caption: Map
rasterization result.
Result of the transformation of
vector data into a raster map in
COG (Cloud Optimised GEOTIFF)
format.

9. The
Peak
of
Data
Integration
20
23
Problem description
Here, we present the problem we will be solving
today
● How to synchronise changes in the territory
with the production of maps?
● How our maps could be made more efficiently?
● That you’ll show them how to solve

10. The
Peak
of
Data
Integration
20
23
Problem solution. Steps.

11. The
Peak
of
Data
Integration
20
23
This will solve the problem. Deployment
schema
BTN
TopographicBD
Cartographic
Rules
application
BD
carto
Cartographic DB
Symbolisation and
rasterisation
Diffusion outputs,
(Downloads and Services)
Rasterisation Shading
GeoPDF COG
Downloads
outputs
Service
Outputs
Symbolisation

12. The
Peak
of
Data
Integration
20
23
This will solve the problem. First step.
Reading PostGIS Database.

13. The
Peak
of
Data
Integration
20
23
This will solve the problem. Second step.
Feature attributes merging.

14. The
Peak
of
Data
Integration
20
23
This will solve the problem. Second step.
Feature attributes merging.

15. The
Peak
of
Data
Integration
20
23
This will solve the problem. Third step.
Writing symbolised geoPDF.

16. The
Peak
of
Data
Integration
20
23
This will solve the problem. Third step. Writing
symbolised geoPDF. FME-Mapublisher
automation settings.
Automation settings for exporting geoPDF
Setting for exporting geoPDF. From this
geoPDF, we will be able to make ráster map

17. The
Peak
of
Data
Integration
20
23
This will solve the problem. Writing
symbolized geoPDF. Mapublisher Template.
Mapublisher Map Theme Mapublisher Stylesheet Theme

18. The
Peak
of
Data
Integration
20
23
This will solve the problem. Fourth step.
Rasterised geoPDF. Transformer where the shading
raster is mixed with raster map
Shading raster
Map raster

19. The
Peak
of
Data
Integration
20
23
Shading raster and map raster mixing result

20. The
Peak
of
Data
Integration
20
23
Conclusion

21. The
Peak
of
Data
Integration
20
23
Summary
● Territory changes
synchronized with mapping.
● Maintenance of quality
standards.
● Minimise production times

22. The
Peak
of
Data
Integration
20
23
What can we achieve with this
knowledge?

23. The
Peak
of
Data
Integration
20
23
Call to Action
1. Quick update.
2. Simple and optimised process without
human intervention.
3. Same appearance as the traditional map.

24. ThankYou!
sprieto@mitma.es