2021
DOI: 10.52939/ijg.v17i2.1757
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A Machine-Learning Approach to Generalisation of GIS Data

Abstract: The automation of map generalisation in this study involves an expert system approach that consists of four main components including knowledge acquisition, an inference engine, knowledge representation and a user interface. The acquired knowledge was then utilised to build a knowledge-based solution: a ‘Generalisation Expert System’ (GES) developed in Java, Python and C programming environments for the delivery of generalised geographical features. Its capabilities are demonstrated in a case study through gen… Show more

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Cited by 6 publications
(3 citation statements)
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“…The use of geographic information systems (GIS) has been applied to HCWM. Forghani et al [59] applied GIS and Expert Systems to select hospital waste disposal sites in Mashhad, Iran. Their findings indicated two suitable disposal sites and the current disposal site was deemed inappropriate.…”
Section: Modelling Applications In Hcwmmentioning
confidence: 99%
“…The use of geographic information systems (GIS) has been applied to HCWM. Forghani et al [59] applied GIS and Expert Systems to select hospital waste disposal sites in Mashhad, Iran. Their findings indicated two suitable disposal sites and the current disposal site was deemed inappropriate.…”
Section: Modelling Applications In Hcwmmentioning
confidence: 99%
“…[20] developed a Generalisation Expert System (GES) in recent studies that have detailed four key parts: (a) knowledge representation; (b) inference engine; (c) knowledge representation; and (d) user interface for semi-automated road network generalization [28], [29]; and [20] GES capabilities have been demonstrated in a case study involving the simplification of 1:250,000 national topographic (several lines and polyline database) data to a 1:500,000 scale over Canberra, Australia. The GES has a simple Graphical User Interface (GUI) that can assist users without requiring a high level of technical skill and knowledge of spatial data management.…”
Section: Literature Reviewmentioning
confidence: 99%
“…During the 1930s and 1940s, researchers such as [20], [21], and [61] were the first to introduce the basic principles of using light detection and ranging (LiDAR) floodlights to measure air density and specificity. The meteorologists used the upper atmosphere.…”
Section: Lidar Technology and Its Applicationsmentioning
confidence: 99%