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010   $a3-319-25166-X
024 7 $a10.1007/978-3-319-25166-0
035   $a(CKB)3710000000541771
035   $a(EBL)4199805
035   $a(SSID)ssj0001597046
035   $a(PQKBManifestationID)16297824
035   $a(PQKBTitleCode)TC0001597046
035   $a(PQKBWorkID)14885784
035   $a(PQKB)10177215
035   $a(DE-He213)978-3-319-25166-0
035   $a(MiAaPQ)EBC4199805
035   $a(PPN)190881550
035   $a(EXLCZ)993710000000541771
100   $a20151217d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMap Construction Algorithms /$fby Mahmuda Ahmed, Sophia Karagiorgou, Dieter Pfoser, Carola Wenk
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (128 p.)
300   $aDescription based upon print version of record.
311   $a3-319-25164-3 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aMap Construction Algorithms -- Trace Bundle Map Construction Algorithm -- Fréchet Distance-Based Map Construction Algorithm -- Density-Based Map Construction Pipeline -- Datasets -- Quality Measures for Map Comparison -- Evaluation -- New Directions -- Resources.
330   $aThe 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.  .
606   $aData mining
606   $aGeometry
606   $aGeographical information systems
606   $aRegional planning
606   $aUrban planning
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aGeometry$3https://scigraph.springernature.com/ontologies/product-market-codes/M21006
606   $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000
606   $aLandscape/Regional and Urban Planning$3https://scigraph.springernature.com/ontologies/product-market-codes/J15000
615  0$aData mining.
615  0$aGeometry.
615  0$aGeographical information systems.
615  0$aRegional planning.
615  0$aUrban planning.
615 14$aData Mining and Knowledge Discovery.
615 24$aGeometry.
615 24$aGeographical Information Systems/Cartography.
615 24$aLandscape/Regional and Urban Planning.
676   $a004
700   $aAhmed$b Mahmuda$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064294
702   $aKaragiorgou$b Sophia$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aPfoser$b Dieter$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aWenk$b Carola$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299257203321
996   $aMap Construction Algorithms$92537323
997   $aUNINA