DocumentCode :
1842288
Title :
Geometric and thematic integration of spatial data into maps
Author :
McKenney, Mark
Author_Institution :
Dept. of Comput. Sci., Texas State Univ., San Marcos, TX, USA
fYear :
2010
fDate :
4-6 Aug. 2010
Firstpage :
201
Lastpage :
206
Abstract :
The map construction problem (MCP) is defined as a spatial data integration problem relating to the integration of region data into map data. Although a purely geometric integration of regions into a map is known and is efficient, algorithms preserving thematic data of regions are much more difficult. A naive approach to the MCP runs in O((nm lg nm)2 + k) time for m regions composed with n line segments on average with k line segment intersections. A new O((n+k)(lg n+m+lg m2)) algorithm is presented to solve the MCP. The algorithm has been implemented and experiments show that it is significantly faster than the naive approach.
Keywords :
cartography; computational complexity; geographic information systems; spatial data structures; computational complexity; geometric integration; line segment intersections; map construction problem; map data; region data; spatial data integration problem; thematic integration; Complexity theory; Data visualization; Image segmentation; Region 1; Region 2; Region 3; Spatial databases; Geographic information systems; algorithms; data management; spatial data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2010 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-8097-5
Type :
conf
DOI :
10.1109/IRI.2010.5558941
Filename :
5558941
Link To Document :
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