Uncertainty Characterization

As mentioned toward the end of Chapter 11, uncertainty is inherent in spatial information and analysis. Uncertainty should thus be characterized properly. Although the information theory discussed in Chapter 11 provides a special language of reasoning in the face of uncertainty, this chapter address...

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Bibliographic Details
Published in	Scale in Spatial Information and Analysis pp. 279 - 312
Main Authors	Zhang, Jingxiong, Atkinson, Peter, Goodchild, Michael F.
Format	Book Chapter
Language	English
Published	United States CRC Press 2014 Taylor & Francis Group
Subjects	ENVIRONMENTAL ENGINEERING & TECHNOLOGY Geographical information systems (GIS) & remote sensing Human geography Normal Score Transform Environmental Systems Research Institute Ground Reference Maps Kriging Variance LAI Map Uncertainty Characterization Indicator Simulation Area Class Maps DEM Dataset Positional Accuracy MAFs Alternative Hypothesis HA Esu Reference Data Error Propagation Grid Node Location Xi Accuracy Assessment Geostatistical Simulation Fine Resolution Imagery PCC Stochastic Simulation Sis MODIS Product Indicator Kriging
Online Access	Get full text
ISBN	9781439829370 1439829373
DOI	10.1201/b16751-16

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Summary:	As mentioned toward the end of Chapter 11, uncertainty is inherent in spatial information and analysis. Uncertainty should thus be characterized properly. Although the information theory discussed in Chapter 11 provides a special language of reasoning in the face of uncertainty, this chapter addresses the topic of uncertainty characterization, in particular with respect to its relation to scale issues, the theme of this book.
ISBN:	9781439829370 1439829373
DOI:	10.1201/b16751-16