|Author:||Barbara P. Buttenfield,Robert B. McMaster|
|Title:||Map Generalization: Making Rules for Knowledge Representation|
|Format:||lrf doc mobi lit|
|ePUB size:||1596 kb|
|FB2 size:||1712 kb|
|DJVU size:||1567 kb|
|Category:||Astronomy and Space Science|
|Publisher:||Addison-Wesley Longman Ltd (December 1, 1991)|
Personal Name: Buttenfield, Barbara Pfeil. Personal Name: McMaster, Robert Brainerd. Rubrics: Cartography Congresses. On this site it is impossible to download the book, read the book online or get the contents of a book. The administration of the site is not responsible for the content of the site. The data of catalog based on open source database. All rights are reserved by their owners.
PDF On Jan 1, 1991, Barbara P. Buttenfield and others published Map Generalization: Making Rules for Knowledge Representation. This enables the generalization process to include the knowledge and understanding of a linear network. This paper further discusses the actual generalization options and algorithms for populating this data structure with high quality vario-scale cartographic content.
Start by marking Map Generalization: Making Rules For Knowledge Representation as Want to Read: Want to Read savin. ant to Read. Read by Barbara P. Buttenfield.
The book addresses the problems of map generalization. ISBN13:9780582080621. Release Date:January 1991.
Map generalization: Making rules for knowledge representation. BP Buttenfield, RB McMaster. Longman Scientific & Technical, 1991. EB Hekler, P Klasnja, JE Froehlich, MP Buman. Proceedings of the SIGCHI Conference on Human Factors in Computing System. 2013. SI Fabrikant, BP Buttenfield. Geospatial data mining and knowledge discovery. M Yuan, B Buttenfield, M Gahegan, H Miller. Framing guidelines for multi-scale map design using databases at multiple resolutions. CA Brewer, BP Buttenfield. Cartography and Geographic Information Science 34 (1), 3-15, 2007.
generalization, based on knowledge representation and knowledge reason, not only imitate the process of manual map generalization, but also utilize the computer formalization description. Rule knowledge representation of cartographic generalization has advantages in formalization that computers can be made to analyze generalization rules and execute generalization behaviors. While the analysis and representation of deep model and shallow model reveal the knowledge connotation of map generalization, and offer a theoretical basic of map generalization expert system. Barbara B. Buttenfield and Robert B. McMaster. Map Generalization: Making Rules for Knowledge.
Map Generalization: Making Rules for Knowledge Representation, Longman: London, 1991. A Hierarchical Coordinate System for Geoprocessing and Cartography, Lecture Notes in Earth Science, 79: Springer-Verlag: Berlin, 1998. Causes and Consequences of Map Generalization, Taylor & Francis: London, 1998. Generalization in Digital Cartography, Association of American Geographers: Washington, . Lagrange, and R. Weibel. GIS and Generalization: Methodology and Practice, Taylor & Francis: London, 1995. Special Content Issue on Map Generalization, Cartography and Geographic Information Systems, Vol. 26(1): 1999.
Barbara, Buttenfield P ; McMaster, Robert B ; Mc Master, Robert . Map Generalization: Making Rules for Knowledge Representation. London : Longman's Inc, 1991. T1 - Map Generalization: Making Rules for Knowledge Representation.
McMaster, Robert . and K. Stuart Shea. Generalization in Digital Cartography. Resource Publications in Geography. Eds. Ellen K. Cromley and Robert G. Cromley. Washington, DC: Association of American Geographers, 1992. Buttenfield, Barbara P. A Rule for Describing Line Feature Geometry. In: Map Generalization: Making Rules for Knowledge Representation. London: Longman, Ltd, 1991. Cromley, Robert G. Hierarchical Methods of Line Simplification. Cartography and Geographic Information Systems 1. (1991): 125-131.
Buttenfield, B. P. and McMaster R. Ed. Map Generalization: Making Rules for Knowledge Representation, Longman Scientific and Technical, London, 1991. Joa~ o, . Causes and Consequences of Map Generalization. CRC Press, Boca Raton, 1998. SCOPE OF THIS BOOK In Section . essential operations for geometric transformations of spatial representation are systematically classified. One or more algorithms are required for each of these operations. This book is an attempt to provide a comprehensive coverage of these algorithms. Only the low-level algorithms (or operators) for such transformations will be presented. High-level algorithms, that is, those based on neural networks and compound algorithms, are not included