From Ocean Teacher Library

Map Generalization

Contents 1 Background 2 Line Simplification 3 Line Smoothing 4 Subsections of this Article 5 Information about this article 6 Contact

Background

When features are generalised their level of detail is reduced but their overall shape and position is retained. The generalisation of digital spatial data is done for various reasons including:

• To minimise the amount of data to be processed
• To filter out errors and consolidate trends
• To produce maps at a variety of scales (from the one source)
• To remove modify features for effective cartographic communication & aesthetics

For example, a small scale map of a coastline will not show every cove that might appear on a large scale map. Smaller scale maps may also omit features completely. It is important to note that data can always be generalised to a smaller scale but cannot be created for larger scales.

Generalisation of vector data can be applied to points, lines and polygons and there are a number of different algorithms that are used in GIS to handle these processes. Two commonly used generalisation operators that can be applied to line data are line simplification and line smoothing.

Line Simplification

Line simplification algorithms remove from the line redundant or unnecessary coordinate pairs based on some geometric criterion, such as distance between points or displacement from a centreline. Line simplification can result in:

• Reduced plotting time due to the reduction in the number of x,y coordinate pairs
• Reduced storage space due to the reduction in data by up to 70% resulting in the decrease in the amount of storage space required.
• Faster vector processing due to the simplified dataset

This figure shows a line before and after it has been simplified, with arrows representing the points eliminated during the process.

Line Smoothing

Line smoothing routines relocate or shift coordinate pairs. Unlike simplification, which endeavours to reduce detail, smoothing techniques shift the position of points making up a line, in order to remove small irregularities and capture only the most significant trends of the line. This result in the improved appearance of the lines. 

This figure shows a line before and after it has been smoothed.

Subsections of this Article

No subsections available

Information about this article

Short title: Map Generalization

Description: When features are generalised their level of detail is reduced but their overall shape and position is retained

Expertise level: beginner

Author: Greg Reed

Approval status: approved

Approved by: Greg Reed

Last change: 2010-5-20

Subsection of: Geographic Information Systems (GIS)

Contact

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