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Automatic Generalisation - general overview

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by

Vincent van Altena

on 20 March 2014

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Transcript of Automatic Generalisation - general overview

Programme
Introduction of context and generalisation
Causes for innovation
Pre-conditions, constraints benefits and consequences of the Dutch approach
Introduction
Kadaster's legal obligation:
topographic map series and datasets in scale range 10K to 1000K
Topicality of data
Automatic generalisation
1:100.000
1:500.000
1:50.000
1:25.000
1:250.000
Generalisation
More than 400 models
nested in 3 main models
Pre-conditions
Standard software: no software development
No post-processing
Generalised data is intended for visualisation, not for analysis.
Traditional generalisation concepts do not form strict constraints
Active participation of customers
Generalisation concepts
Changing details
Important infrastructure
Prominent terrain features
Less important features
Motivation
Actuality of data
Cost reduction
Current state of software
Objective
"Create the best possible imitation of our interactively generalised map"
`
1. Geometric generalisation
2. Displacement
3. Visualisation
Base data
1:10,000

0. Preparation
Maps /Data
1:50,000

Workflow overview
Some statistics:
Entire workflow within 3 weeks
Core process within 1 week
480 sub units (partitions)
36 sub units can be processed simultaneously
Consequences:
Actuality of data
Uniformity
Legal obligations
Cost reduction
Improvement of base data

but also:
Staff reduction
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
Manual craftsmanship
15 years
1850
2012
Computers introduced
Digitizer
5 years, 25 people
Pilot started in 2011
Fully automatic generalisation
Start of production 2013
1990
Thank you for your attention!
Full transcript