LEADER 04249nam 22006135 450 001 9910299552803321 005 20250609110656.0 010 $a3-319-00203-1 024 7 $a10.1007/978-3-319-00203-3 035 $a(CKB)3710000000089101 035 $a(EBL)1782093 035 $a(SSID)ssj0001186773 035 $a(PQKBManifestationID)11700635 035 $a(PQKBTitleCode)TC0001186773 035 $a(PQKBWorkID)11220285 035 $a(PQKB)11726970 035 $a(MiAaPQ)EBC1782093 035 $a(DE-He213)978-3-319-00203-3 035 $a(PPN)176747850 035 $a(MiAaPQ)EBC4418808 035 $a(EXLCZ)993710000000089101 100 $a20140227d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAbstracting Geographic Information in a Data Rich World $eMethodologies and Applications of Map Generalisation /$fedited by Dirk Burghardt, Cécile Duchêne, William Mackaness 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (412 p.) 225 1 $aPublications of the International Cartographic Association (ICA),$x2195-1705 300 $aDescription based upon print version of record. 311 08$a1-322-13359-X 311 08$a3-319-00202-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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. 330 $aResearch in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ?on-demand mapping?, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content. 410 0$aPublications of the International Cartographic Association (ICA),$x2195-1705 606 $aGeographic information systems 606 $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000 615 0$aGeographic information systems. 615 14$aGeographical Information Systems/Cartography. 676 $a526 702 $aBurghardt$b Dirk$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDuchêne$b Cécile$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMackaness$b William$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299552803321 996 $aAbstracting Geographic Information in a Data Rich World$92531279 997 $aUNINA