Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.
Automatic Generalisation - general overview
Transcript of Automatic Generalisation - general overview
Introduction of context and generalisation
Causes for innovation
Pre-conditions, constraints benefits and consequences of the Dutch approach
Kadaster's legal obligation:
topographic map series and datasets in scale range 10K to 1000K
Topicality of data
More than 400 models
nested in 3 main models
Standard software: no software development
Generalised data is intended for visualisation, not for analysis.
Traditional generalisation concepts do not form strict constraints
Active participation of customers
Prominent terrain features
Less important features
Actuality of data
Current state of software
"Create the best possible imitation of our interactively generalised map"
1. Geometric generalisation
Entire workflow within 3 weeks
Core process within 1 week
480 sub units (partitions)
36 sub units can be processed simultaneously
Actuality of data
Improvement of base data
Base map data
Acquisition at 1:10,000
Aerial photography and terrain exploration.
Object Oriented database
Topicality less than two years
Evolution of Cartography
Start in modern sense
5 years, 25 people
Pilot started in 2011
Fully automatic generalisation
Start of production 2013
Thank you for your attention!