The Role of Uncertainty in Spatial Statistical Modeling of Geophysical Processes (Invited)
Abstract
Spatial statistics (e.g., Cressie, 1993; Banerjee, Carlin, and Gelfand, 2004) offers a rigorous formalism for modeling geophysical processes statistically, and making inferences about them. Uncertainties, in the form of mathematical assumptions about the probability distributions of various sources of error, are key components of these models. In this talk, we discuss the power of the spatial statistics paradigm in geoscience data analysis, and the requirements it imposes on uncertainty estimates reported in remote sensing datasets.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2009
- Bibcode:
- 2009AGUFMIN33E..01B
- Keywords:
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- 1986 INFORMATICS / Statistical methods: Inferential;
- 1990 INFORMATICS / Uncertainty;
- 3252 MATHEMATICAL GEOPHYSICS / Spatial analysis;
- 3275 MATHEMATICAL GEOPHYSICS / Uncertainty quantification