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| 1 | Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?显示文摘The geospatial sciences face grand information technology(IT)challenges in the twenty-first century:data intensity,computing intensity,concurrent access intensity and spatiotemporal intensity.These challenges require the readiness of a computing infrastructure that can:(1)better support discovery,access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries;(2)provide real-time IT resources to enable real-time applications,such as emergency response;(3)deal with access spikes;and(4)provide more reliable and scalable service for massive numbers of concurrent users to advance public knowledge.The emergence of cloud computing provides a potential solution with an elastic,on-demand computing platform to integrateobservation systems,parameter extracting algorithms,phenomena simulations,analytical visualization and decision support,and to provide social impact and user feedbackthe essential elements of the geospatial sciences.We discuss the utilization of cloud computing to support the intensities of geospatial sciences by reporting from our investigations on how cloud computing could enable the geospatial sciences and how spatiotemporal principles,the kernel of the geospatial sciences,could be utilized to ensure the benefits of cloud computing.Four research examples are presented to analyze how to:(1)search,access and utilize geospatial data;(2)configure computing infrastructure to enable the computability of intensive simulation models;(3)disseminate and utilize research results for massive numbers of concurrent users;and(4)adopt spatiotemporal principles to support spatiotemporal intensive applications.The paper concludes with a discussion of opportunities and challenges for spatial cloud computing(SCC). | Chaowei Yang Michael Goodchild Qunying Huang Doug Nebert Robert Raskin Yan Xu Myra Bambacus Daniel Fay | 2011 | International Journal of Digital Earth2011，4，4： | 55 |
| 2 | Digital Earth 2020:towards the vision for the next decade显示文摘This position paper is the outcome of a brainstorming workshop organised by the International Society for Digital Earth(ISDE)in Beijing in March 2011.It argues that the vision of Digital Earth(DE)put forward by Vice-President Al Gore 13 years ago needs to be re-evaluated in the light of the many developments in the fields of information technology,data infrastructures and earth observation that have taken place since.The paper identifies the main policy,scientific and societal drivers for the development of DE and illustrates the multi-faceted nature of a new vision of DE grounding it with a few examples of potential applications.Because no single organisation can on its own develop all the aspects of DE,it is essential to develop a series of collaborations at the global level to turn the vision outlined in this paper into reality. | Max Craglia Kees de Bie Davina Jackson Martino Pesaresi Gabor Remetey-Fulopp Changlin Wang Alessandro Annoni Ling Bian Fred Campbell Manfred Ehlers John van Genderen Michael Goodchild Huadong Guo Anthony Lewis Richard Simpson Andrew Skidmore Peter Woodgate | 2012 | International Journal of Digital Earth2012，5，1： | 8 |
| 3 | 野外空间采样的渐进式策略显示文摘介绍了有关地统计学(geostatistics)的基本理论,论述了顾及样本点位之间空间依赖性的空间采样方案的设计。基于总体上极大限度地降低克里金方差的思想,阐述了一个快速确立采样点位的序贯算法和块段克里金方法。由于野外作业的计算环境所限,数值方法和启发式搜索相结合的策略才是开发实用系统的明智选择。以假想数据为例,验证了所提算法的有效性。 | 张景雄 Michael F Goodchild | 2008 | 武汉大学学报(信息科学版)2008，33，5： | 7 |
| 4 | Citizens as sensors: the world of volunteered geography显示文摘 | Michael F. Goodchild | 2007 | GeoJournal2007，，4： | 6 |
| 5 | Scale in GIS: An overview显示文摘 | Michael F. Goodchild | 2010 | Geomorphology2010，，1： | 2 |
| 6 | Assuring the quality of volunteered geographic information显示文摘 | Michael F. Goodchild Linna Li | 2012 | Spatial Statistics2012，，： | 1 |
| 7 | Development and test of an error model for categorical data显示文摘 | Michael F. Goodchild Sun Guoqing Yang Shiren | 1992 | International Journal of Geographical Information Science1992，，2： | 1 |
| 8 | Geographic information systems and science: today and tomorrow显示文摘 | Michael F. Goodchild | 2009 | Procedia Earth and Planetary Science2009，，1： | 1 |
| 9 | Commentary: whither VGI?显示文摘 | Michael F. Goodchild | 2008 | GeoJournal (-)2008，，3： | 1 |
| 10 | NeoGeography and the nature of geographic expertise显示文摘 | Michael Goodchild | 2009 | Journal of Location Based Services2009，，2： | 1 |
| 11 | Citizens as sensors: the world of volunteered geography显示文摘 | Michael F. Goodchild | 2007 | GeoJournal2007，，4： | 1 |
| 12 | Future directions for geographic information science显示文摘 | Goodchild Michael F | 1995 | Geographic Information Science1995，1，1： | 1 |
| 13 | Integrating spatial data analysis and GIS: A new implementation using the component object model(COM)显示文摘 | Nngerer Matthew Goodchild Michael | 2002 | International Journal of Geographical Information Science2002，16，1： | 1 |
| 14 | Geospatial Cyberinfrastructure: Past, presentand future 显示文摘 | Chaowei Yang Robert Raskin Michael Goodchild | 2010 | Computers Environment and UrbanSystems2010，34，： | 1 |
| 15 | Dynamic GIS Case Studies:Wildfi and Volunteer re Evacuation ed Geographic Information 显示文摘 | Edward Pultar Martin Raubal Thomas J Cova Michael F Goodchild | 2009 | Transactions in GIS2009，13，1： | 1 |
| 16 | The Fractal Nature of Geographic Phenomena显示文摘 | Michael F. Goodchild David M. Mark | 1987 | Annals of the Association of American Geographers1987，，2： | 1 |
| 17 | Geographical information science显示文摘 | Michael F. Goodchild | 1992 | International Journal of Geographical Information Science1992，，1： | 1 |
| 18 | Semanticsimilarity measurement based on knowledge mining:An artifi-cial neural net approach显示文摘 | Lia Wenwen Robert Raskin Michael F Goodchild | 2012 | International Journal of Geo-graphical Information Science?2012，26，8： | 1 |
| 19 | Spatially integrated social science显示文摘 | MICHAEL F GOODCHILD E | 2000 | International Regional Science Review2000，23，2： | 1 |
| 20 | Scale in GIS: An overview显示文摘 | Michael F. Goodchild | 2010 | Geomorphology2010，，1： | 1 |
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