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Matharuddin B. Yusuf: Generalization of Map Details Within Computer Assisted Cartography

This document discusses computer-assisted generalization in cartography. It begins with a review of generalization principles and concepts, noting that manual generalization takes a holistic approach while computer algorithms require separate processes for simplification, classification, symbolization, and other tasks. Most research on automated generalization has focused on linear simplification. The document then proceeds to discuss the problems involved in automating the generalization process.

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Mojtaba Taha
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88 views9 pages

Matharuddin B. Yusuf: Generalization of Map Details Within Computer Assisted Cartography

This document discusses computer-assisted generalization in cartography. It begins with a review of generalization principles and concepts, noting that manual generalization takes a holistic approach while computer algorithms require separate processes for simplification, classification, symbolization, and other tasks. Most research on automated generalization has focused on linear simplification. The document then proceeds to discuss the problems involved in automating the generalization process.

Uploaded by

Mojtaba Taha
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We take content rights seriously. If you suspect this is your content, claim it here.
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GENERALIZATION OF MAP DETAILS WITHIN

COMPUTER ASSISTED CARTOGRAPHY

by

Matharuddin b. Yusuf
Jabatan Fotogrametrl dan Kartografi,
Fakulti Ukur, Unlversiti
Teknologi Malaysia,

Abstract

Throughout the century many cartographers have addressed the issue of


subjectivity in generalization, the metamorphasis from manual to digital techniques
in cartography has resulted in the development of computer algorithms designed to
replicate many tasks previously performed by humans. In manual generalization
cartographers have taken an intrisically hollistic approach where, when
simpilifying manuscript line, many decisions a r e applied al once: the important
characteristics are selected, these important characteristics might be exaggerated,
and the unwanted detail is elimited all in one swoop of a pen. In contrast to manual
generalization the computer approach requires separate algorithm to complete each
component in t h e process: simplification, classification, simbolization, smoothing,
diplacement and enhancement. Most of the research effort on automated
generalization has been directed towards areas of linear simplification.

This paper begins with a review of the principles and concepts of Generalization and
proceeds with the problems inloved in automating the generalization process.

1.0 Principles And Concept of Generalisation


1.1 General
The producing a map at a smaller scale than the existing map or in
construction a map from raw data, the cartographer traditionally employs
subjective judgement to perform the necessary generalisation This subjectivity is an
individual characteristic of generalisation will also vary among various map
products. {See Steward, 1974).
Generalisation belongs to the most important decisive concepts of
cartography. It is a fundamental ingredient in the preparation of maps because of the
necessity of retaining legibility as the scale is reduced. In most cases the method
adopted has been empirical and subjective but there is the increasing interest in
objective and theoritical approaches especially since introduction of automation
(computer) in cartography. Most advances have been acheved in the estimation of the
number or length of features to be retained but the choice of which individual
features which would make up the number is harder to define.

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