國立虎尾科技大學 |

Map construction algorithms

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Map construction algorithms/ by Mahmuda Ahmed ... [et al.].
other author:	Ahmed, Mahmuda.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiii, 120 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Digital mapping - Data processing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-25166-0
ISBN:	9783319251660

Map construction algorithms
Map construction algorithms[electronic resource] /by Mahmuda Ahmed ... [et al.]. - Cham :Springer International Publishing :2015. - xiii, 120 p. :ill. (some col.), digital ;24 cm.

Map Construction Algorithms -- Trace Bundle Map Construction Algorithm -- Frechet Distance-Based Map Construction Algorithm -- Density-Based Map Construction Pipeline -- Datasets -- Quality Measures for Map Comparison -- Evaluation -- New Directions -- Resources.

The book provides an overview of the state-of-the-art of map construction algorithms, which use tracking data in the form of trajectories to generate vector maps. The most common trajectory type is GPS-based trajectories. It introduces three emerging algorithmic categories, outlines their general algorithmic ideas, and discusses three representative algorithms in greater detail. To quantify map construction algorithms, the authors include specific datasets and evaluation measures. The datasets, source code of map construction algorithms and evaluation measures are publicly available on http://www.mapconstruction.org. The web site serves as a repository for map construction data and algorithms and researchers can contribute by uploading their own code and benchmark data. Map Construction Algorithms is an excellent resource for professionals working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will also find this book a useful tool.

ISBN: 9783319251660

Standard No.: 10.1007/978-3-319-25166-0doiSubjects--Topical Terms:

1070312
Digital mapping
--Data processing.

LC Class. No.: GA139

Dewey Class. No.: 526.0285

Map construction algorithms
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245 0 0 $a Map construction algorithms $h [electronic resource] / $c by Mahmuda Ahmed ... [et al.].
260 $a Cham : $c 2015. $b Springer International Publishing : $b Imprint: Springer,
300 $a xiii, 120 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Map Construction Algorithms -- Trace Bundle Map Construction Algorithm -- Frechet Distance-Based Map Construction Algorithm -- Density-Based Map Construction Pipeline -- Datasets -- Quality Measures for Map Comparison -- Evaluation -- New Directions -- Resources.
520 $a The book provides an overview of the state-of-the-art of map construction algorithms, which use tracking data in the form of trajectories to generate vector maps. The most common trajectory type is GPS-based trajectories. It introduces three emerging algorithmic categories, outlines their general algorithmic ideas, and discusses three representative algorithms in greater detail. To quantify map construction algorithms, the authors include specific datasets and evaluation measures. The datasets, source code of map construction algorithms and evaluation measures are publicly available on http://www.mapconstruction.org. The web site serves as a repository for map construction data and algorithms and researchers can contribute by uploading their own code and benchmark data. Map Construction Algorithms is an excellent resource for professionals working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will also find this book a useful tool.
650 0 $a Digital mapping $x Data processing. $3 1070312
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Geometry. $3 579899
650 2 4 $a Geographical Information Systems/Cartography. $3 670563
650 2 4 $a Landscape/Regional and Urban Planning. $3 668548
700 1 $a Ahmed, Mahmuda. $3 1070311
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25166-0
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