Gis and Generalisation: Methodology and Practice (Gisdata, No 1)

Inhaltsangabe

This book overviews the core and currently unresolved issues surrounding the achievement of this goal, and presents various alternatives - both speculative views and practical examples - in the area of automated generalization, vis-a-vis problems such as object simplification and placement. At the same time it distinguishes between modelling with generalization and graphical representation, and adopts a model-building perspective. It also describes artificial intelligence techniques for implementing automated generalization routines, and addresses issues of data quality and production. It is organized into six parts: an introduction; generic issues; object-oriented methods and knowledge-based modelling; knowledge acquisition and representation; data quality; and operation and implementation. The book represents a unique scientific collaboration between academia, government, and industry, and its state-of-the-art review of the problems and prospective solutions surrounding generalization will undoubtedly influence the design of future commercial GIS.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.