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Volumn 30, Issue 2, 2001, Pages 287-301

An iterative displacement method for conflict resolution in map generalization

Author keywords

Automated cartography; Generalization; Object displacement

Indexed keywords

AUTOMATION; COMPUTER SIMULATION; INFORMATION ANALYSIS; ITERATIVE METHODS; MAPPING; TOPOLOGY;

EID: 0242301649     PISSN: 01784617     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00453-001-0011-0     Document Type: Article
Times cited : (38)

References (15)
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    • Ware, J.M.1    Jones, C.B.2
  • 7
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    • The Constraint Method for Solving Spatial Conflicts in Cartographic Generalization
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  • 8
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    • Ruas, A.1
  • 9
    • 0004193024 scopus 로고    scopus 로고
    • Solving Local and Global Space Conflicts in Map Generalization Using a Finite Element Method Adapted from Structural Mechanics
    • International Geographical Union
    • P. Hojholt, Solving Local and Global Space Conflicts in Map Generalization Using a Finite Element Method Adapted from Structural Mechanics, in Proceedings of the Eighth International Symposium on Spatial Data Handling, International Geographical Union, 1998, pp. 679-689.
    • (1998) Proceedings of the Eighth International Symposium on Spatial Data Handling , pp. 679-689
    • Hojholt, P.1
  • 10
    • 0242329130 scopus 로고    scopus 로고
    • Automated Displacement for Large Numbers of Map Objects
    • this issue
    • W.A. Mackaness and R. Purves, Automated Displacement for Large Numbers of Map Objects, Algorithmica (this issue).
    • Algorithmica
    • Mackaness, W.A.1    Purves, R.2
  • 11
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    • An Empirical Study of Algorithms for Point-Feature Label Placement
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  • 12
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    • Hirsch, S.A.1
  • 13
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    • Fixed-Radius Near Neighbours Search Algorithms for Points and Segments
    • T. Dickerson and R.S. Drysdale, Fixed-Radius Near Neighbours Search Algorithms for Points and Segments, Information Processing Letters, 35 (1990), 269-273.
    • (1990) Information Processing Letters , vol.35 , pp. 269-273
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  • 15
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    • Recognition of Building Clusters for Generalization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.