This text is the inaugural book in Taylor and Francis's GISDATA series, and is derived from the specialist workshop convened under the auspices of the European Science Foundation's GISDATA Scientific Programme. Generalisation is an integrating tool for the analysis and presentation of spatial data. Effective spatial data analysis requires multiple views of the world at various scales with different thematic layers of representation. Generalisation is a key mechanism in this process, as it filters out information which is required for particular scales or layers; hence it is critical to implement full and comprehensive generalisation capabilities in a GIS, something with which few current GIS are equipped.; This book overviews the core and as-yet unresolved issues surrounding the achievement of this goal, and presents various alternatives - both speculative views and practical examples - in the areas of automated generalisation, vis-a-vis problems such as object simplification and placement. At the same time it distinguishes between modelling with generalisation and graphical representation, and adopts a model-building perspective. It also describes artificial intelligence techniques for implementing automated generalised routines, and addresses issues of data quality and production.; The text is organized into six parts: an introduction; generic issue; object-orientated methods and knowledge-based modelling; knowledge acquisition and representation; data quality; and operation and implementation.
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Muller; Jean-Claude University of Ruhr, Bochum, Germany,Lagrange; J-P Institut Geographic National Sainte Mande, France,Lagrange; J-P Institut Geographic National, Sainte Mande,Weibel; R Universitat Zurich,
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First Sentence:
This chapter intends to provoke discussions and reactions on a number of items relevant to GIS data visualization at multiple levels of scale (the ratio between the size of an object on the map and its real size on the ground) and resolution (the smallest object which can be represented on the map). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
batch generalization, societal mapping, generalization software, reactive data structures, topologic objects, paper map series, digital cartographic models, manual generalization, amplified intelligence, cartographic generalization, incremental generalization, automated generalization, formalizing cartographic knowledge, map generalization, symbol catalogue, representational rules, generalization operators, topological data structure, generalization tools, map generalisation, map manipulations, partitioning hierarchy, line generalization, model generalization, generalization alternatives Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Technical Report, Ordnance Survey, International Symposium, John Wiley, Department of Geography, Specialist Meeting, University of Hannover, Spatial Data Handling, Swiss Society of Cartography, University of Zurich, Annual Convention, International Cartographic Conference, Association of American Geographers, Canadian Cartographer, Conference of the International Cartographic Association, Great Stour, Institute of Cartography, Intergraph Corporation, References Armstrong, United States Geological Survey, Amtliches Topographisch-Kartographisches Informationssystem, Australian Survey, Forest Service, National Mapping Division New!
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This chapter intends to provoke discussions and reactions on a number of items relevant to GIS data visualization at multiple levels of scale (the ratio between the size of an object on the map and its real size on the ground) and resolution (the smallest object which can be represented on the map). Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
batch generalization, societal mapping, generalization software, reactive data structures, topologic objects, paper map series, digital cartographic models, manual generalization, amplified intelligence, cartographic generalization, incremental generalization, automated generalization, formalizing cartographic knowledge, map generalization, symbol catalogue, representational rules, generalization operators, topological data structure, generalization tools, map generalisation, map manipulations, partitioning hierarchy, line generalization, model generalization, generalization alternatives Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Technical Report, Ordnance Survey, International Symposium, John Wiley, Department of Geography, Specialist Meeting, University of Hannover, Spatial Data Handling, Swiss Society of Cartography, University of Zurich, Annual Convention, International Cartographic Conference, Association of American Geographers, Canadian Cartographer, Conference of the International Cartographic Association, Great Stour, Institute of Cartography, Intergraph Corporation, References Armstrong, United States Geological Survey, Amtliches Topographisch-Kartographisches Informationssystem, Australian Survey, Forest Service, National Mapping Division New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 39
books:
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1
book
cites this book:
- Map Generalization: Making Rules for Knowledge Representation by Barbara P. Buttenfield on 18 pages
- Generalization in Digital Cartography by Robert McMaster on 4 pages
- Geographical information systems: Principles and applications by David J. Maguire on page 68, page 192, and page 193
- The Accuracy Of Spatial Databases by Michael F. Goodchild on page 16, page 192, and page 193
- Elements of Cartography by Arthur H. Robinson on page 119, page 131, and page 218
See all 39 books this book cites
- The AGI Source Book For GIS by David R. Green in Front Matter
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