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GeoTemporal Analysis and Earth System SciencePresenter: Dr. J. Ronald Eastman, Professor of Geography, Clark University, and Director of Clark Labs Space-Time Modeling and Analysis Workshop, Redlands GIS Week, February 22-23, 2010, Redlands, CA It has become increasingly apparent that the earth system has entered a highly dynamic and transitional phase. With a goal of monitoring and understanding these changes, a wide variety of earth observing systems have been put in place providing a wealth of environmental image time series. However, the development of tools to analyze these data has not kept pace. Earth Trends Modeler delivers a new technology suite, quite different from that traditionally found within GIS software, that more fully addresses the needs of earth system scientists and the character of geotemporal data. GIS is layer oriented and is primarily synthetic in character. When working with image time series data, analysis is the main goal. Geotemporal analysis is multidimensional, with surprising implications for analytical operations. Since Earth System Science is particularly focused on interactions in coupled systems, it is not uncommon to analyze data with five dimensions or more. With geotemporal data, noise is substantial and is at times larger than the signal. Further, while the objects of GIS, such as elevation and boundary information are fixed in space, the objects of geotemporal data, such as teleconnections, move and evolve. These concepts are illustrated through an exploration of a new suite of software tools known as the Earth Trends Modeler.
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