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Activity Number:
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236
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Type:
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Invited
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Date/Time:
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Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Environmental and Ecological Statistics
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| Abstract - #300141 |
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Title:
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Cellular Automation of Surface Understanding with Echelon Analysis and Its Applications to Geospatial Change Detection
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Author(s):
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Koji Kurihara*+ and Wayne Myers
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Affiliation(s):
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Okayama University and Pennsylvania State University
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Address:
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3-1-1 Tsushima-naka , Okayama, , 700-8530, Japan
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Keywords:
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spatial analysis ; surface data ; echelons ; change detection ; topology
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Abstract:
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Objective determination of spatial structure is key to regional assessment for ecological and environmental condition based on remote sensing and Geographic Information Systems (GIS). Geospatial cellular data are synoptic observations covering an entire spatial region, like cancer rates corresponding to each county in a state. Conventional geographic information systems are powerful analytical platforms, but they do not provide directly for describing spatial structure of cellular data. Echelon analysis extends the utility of geographic information systems for cellular surface analysis by systematically and objectively determining topological structure and change. Regional features such as hotspots and trends are shown in an echelon dendrogram, as well as in maps and tables. Echelons complement kriging and related spatial statistics by providing a unified framework for handling quantitative and estimated surface variables in cellular formats. In this paper, we explore echelon analysis for different types of environmental information and indicators of change. We illustrate software capabilities for identifying regional features in both visualization and automation modes.
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