MARC Record from harvard_bibliographic_metadata

LEADER: 03480nam a22004455a 4500
001 013950579-2
005 20140411192156.0
008 140227s2014 gw | s ||0| 0|eng d
020 $a9783319002033
020 $a9783319002033
020 $a9783319002026
024 7 $a10.1007/978-3-319-00203-3$2doi
035 $a(Springer)9783319002033
040 $aSpringer
050 4 $aGA1-1776
072 7 $aRGW$2bicssc
072 7 $aSCI030000$2bisacsh
072 7 $aTEC036000$2bisacsh
082 04 $a910.285$223
100 1 $aBurghardt, Dirk,$eeditor.
245 10 $aAbstracting Geographic Information in a Data Rich World :$bMethodologies and Applications of Map Generalisation /$cedited by Dirk Burghardt, Cécile Duchêne, William Mackaness.
264 1 $aCham :$bSpringer International Publishing :$bImprint: Springer,$c2014.
300 $aXV, 407 p. 180 illus., 128 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aLecture Notes in Geoinformation and Cartography,$x1863-2246
505 0 $aChanging contexts and new challenges -- Modelling user requirements -- Modelling geographic relationships in automated environments -- Data structures and continuous generalisation -- Integrating Multi source data and user generated content -- Generalisation operators -- Process modelling, web services and geoprocessing -- Object and field generalisation -- Evaluation and usability of map generalisation outputs -- Generalisation in the context of schematic maps / maps on mobile devices -- Generalisation in practice.
520 $aResearch in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content.
650 10 $aGeography.
650 0 $aGeographic information systems.
650 0 $aGeography.
650 24 $aGeographical Information Systems/Cartography.
700 1 $aMackaness, William,$eeditor.
700 1 $aDuchêne, Cécile,$eeditor.
776 08 $iPrinted edition:$z9783319002026
830 0 $aLecture Notes in Geoinformation and Cartography.
988 $a20140304
906 $0VEN