The design and analysis of spatial data structures
✍ Scribed by Hanan Samet
- Book ID
- 127424487
- Publisher
- Addison-Wesley
- Year
- 1990
- Tongue
- English
- Weight
- 5 MB
- Series
- Addison-Wesley series in computer science
- Edition
- 1
- Category
- Library
- City
- Reading, Mass
- ISBN-13
- 9780201502558
No coin nor oath required. For personal study only.
✦ Synopsis
Spatial data consist of points, lines, rectangles, regions, surfaces, and volumes. The representation of such data is becoming increasingly important in applications in computer graphics, computer vision, database management systems, computer-aided design, solid modeling, robotics, geographic information systems (GIS), image processing, computational geometry, pattern recognition, and other areas. Once an application has been specified, it is common for the spatial data types to be more precise. For example, consider a geographic information system (GIS). In such a case, line data are differentiated on the basis of whether the lines are isolated (e.g., earthquake faults), elements of tree-like structures (e.g., rivers and their tributaries), or elements of networks (e.g., rail and highway systems). Similarly region data are often in the form of polygons that are isolated (e.g., lakes), adjacent (e.g., nations), or nested (e.g., contours). Clearly the variations are large.
✦ Subjects
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📜 SIMILAR VOLUMES
The term "data model' is used to describe the conceptual view of how data which purports to model reality is arranged in a computer system. A 'data structure' is the logical view, and a 'file structure' is the actual physical arrangement of the data. Spatial data, as used in geographic intormation s