Virtual Globes: Serving Science and Society

被引:25
|
作者
Blaschke, Thomas [1 ,2 ]
Donert, Karl [3 ]
Gossette, Frank [4 ]
Kienberger, Stefan [1 ]
Marani, Martin [5 ]
Qureshi, Salman [2 ,6 ]
Tiede, Dirk [1 ]
机构
[1] Univ Salzburg, Ctr Geoinformat, Hellbrunnerstr 34, A-5020 Salzburg, Austria
[2] Univ Salzburg, Dept Geog & Geol, Hellbrunnerstr 34, A-5020 Salzburg, Austria
[3] European Assoc Geographers, Liverpool L25 4RN, Merseyside, England
[4] Calif State Univ Long Beach, Dept Geog, Long Beach, CA 90840 USA
[5] Univ Nairobi, Dept Geog & Environm Studies, Nairobi 00100, Kenya
[6] Humboldt Univ, Dept Geog, D-12489 Berlin, Germany
关键词
virtual globes; digital earth; GIS; geographic information; geographic information science; GIScience; google earth; neogeography;
D O I
10.3390/info3030372
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Virtual Globes reached the mass market in 2005. They created multi-million dollar businesses in a very short time by providing novel ways to explore data geographically. We use the term "Virtual Globes" as the common denominator for technologies offering capabilities to annotate, edit and publish geographic information to a world-wide audience and to visualize information provided by the public and private sectors, as well as by citizens who volunteer new data. Unfortunately, but not surprising for a new trend or paradigm, overlapping terms such as "Virtual Globes", "Digital Earth", "Geospatial Web", "Geoportal" or software specific terms are used heterogeneously. We analyze the terminologies and trends in scientific publications and ask whether these developments serve science and society. While usage can be answered quantitatively, the authors reason from the literature studied that these developments serve to educate the masses and may help to democratize geographic information by extending the producer base. We believe that we can contribute to a better distinction between software centered terms and the generic concept as such. The power of the visual, coupled with the potential of spatial analysis and modeling for public and private purposes raises new issues of reliability, standards, privacy and best practice. This is increasingly addressed in scientific literature but the required body of knowledge is still in its infancy.
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页码:372 / 390
页数:19
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