1988
DOI: 10.3138/4144-3u7g-mw01-1q72
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Automated Cartographic Generalization For Linear Features

Abstract: An automated method is presented for the generalization of linear features that are already in a topologically structured computer-readable form. The method consists of three stages: feature elimination; feature simplification; and interference detection and resolution. The first stage is implemented using English-like rules to specify which map features are to be eliminated at the generalized map scale. The second stage consists of the simplification of linear map features, specifically in the form of polylin… Show more

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Cited by 50 publications
(19 citation statements)
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“…Some individual operators to displace map symbols in order to retain separation distances were described for example by Nickerson (1988) for linear features and by Bundy et al (1995) for area objects. However, as indicated above, displacement operations can be expected to introduce further proximity conflicts and as a result their solution requires more complex procedures such as the optimization methods summarized below.…”
Section: Map Generalization In the Web Age 861mentioning
confidence: 99%
“…Some individual operators to displace map symbols in order to retain separation distances were described for example by Nickerson (1988) for linear features and by Bundy et al (1995) for area objects. However, as indicated above, displacement operations can be expected to introduce further proximity conflicts and as a result their solution requires more complex procedures such as the optimization methods summarized below.…”
Section: Map Generalization In the Web Age 861mentioning
confidence: 99%
“…This paper uses the buffer-based approach [6,49,50] to detect conflicts (see Figure 16). In this method, a buffer area is constructed for each building with half the minimum distance threshold as the radius.…”
Section: Conflict Detection Among Buildingsmentioning
confidence: 99%
“…In the heyday of 'expert system' technology in the late 1980s a series of studies was reported using expert rules in map generalisation and related areas (Mackaness et al 1986;Mackaness and Fisher 1987;Nickerson 1988;Doerschler and Freeman 1992;Schylberg 1993). These early activities were followed by a relatively long period of silence, which was due to the scarcity of formalised cartographic knowledge: If no expert rules exist, no expert system can be built.…”
Section: Related Work To Improve the Performance Of Generalisation Symentioning
confidence: 99%