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Linear quadtrees from vector representations of polygons
1Visiting Scientist, CSIRO Division of Computing Research; Department of Geography, State University of New York, Buffalo, NY 14260.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
A novel algorithm generates linear quadtrees from polygon vector data, efficiently inferring region colors. This method extends to multicolored quadtrees, enhancing geographic information systems.
Area of Science:
- Computer Science
- Geographic Information Systems
Background:
- Polygon representation is crucial for spatial data.
- Efficient quadtree generation methods are needed for complex datasets.
Purpose of the Study:
- To develop a new algorithm for generating linear quadtrees directly from polygon vector data.
- To extend the algorithm for multicolored quadtrees applicable to GIS.
Main Methods:
- Algorithm utilizes properties of linear quadtrees and linear keys.
- Infers colors of regions not intersected by the polygon boundary.
- Extends binary quadtree generation to multicolored quadtrees.
Main Results:
- Successful generation of various linear quadtree forms from vector polygons.
- Efficient inference of region colors.
- Demonstrated extension to multicolored linear quadtrees.
Conclusions:
- The presented algorithm offers an efficient method for linear quadtree generation from vector data.
- The extension to multicolored quadtrees has potential applications in geographic information systems.
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