Cartography - Maps Connecting the World

27th International Cartographic Conference 2015 - ICC2015
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ISBN-13:
9783319177373
Veröffentl:
2015
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
10.07.2015
Seiten:
404
Autor:
Claudia Robbi Sluter
Gewicht:
770 g
Format:
241x160x28 mm
Serie:
Publications of the International Cartographic Association (ICA)
Sprache:
Englisch
Beschreibung:

This book is an important volume in the series on the state-of-art research in Cartography and GI Science. It is a collection of selected peer-reviewed papers organized into contemporary topics of research, presented at the 27th International Cartographic Conference (ICC) in Rio de Janeiro. This is the 3rd edition of selected ICA conference papers published by Springer Lectures in Geoinformation and Cartography. The conference topic is ¿maps connecting the world,¿ and Brazilian cartographers and geo-information scientists are honored to welcome their peers from all over the world to the event, which will present some of the most important recent advances in cartography research and GI science. The most relevant papers will be selected for the Springer book and these will be organized into five sections according to topic area to provide a valuable cartography and GI science reference work
State-of-art research in cartography and GI Science
Effect of Cultural Differences and Referent Characteristics on the Design of Pictographic Map Symbols.- Multilingual narrative planetary maps for children.- Multi Standard-Parallel Azimuthal Projections.- Research on User Preferences for Functionality of Web Maps.- Human-computer Interaction in Real 3D and Pseudo-3D Cartographic Visualization: A Comparative Study.- Investigation of map orientation by the use of low cost virtual reality equipment.- Inclusive Cartographic Design: Overcoming Ocular-Centric Cartographies.- Generalization Problems of Orienteering Maps.- A Review of SDI Literature: Searching for Signs of Inverse Infrastructures.- Adapting the United States National Hydrography Dataset to Linked Open Data.

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