By Michael F. Goodchild, Sucharita Gopal
ISBN-10: 0850668476
ISBN-13: 9780850668476
The ebook addresses the matter of accuracy of spatial databases, and includes of papers drawn from quite a lot of actual and human platforms, taking methods which fluctuate from statistical to descriptive. jointly they current either a complete assessment of latest wisdom, suggestions and adventure, and an research of severe learn wishes during this sector of spatial facts dealing with.
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Extra resources for The Accuracy Of Spatial Databases
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Have edges. Their model would operate only inside one regime. Their goal is to produce random categorical coverages in order to understand the operations of a GIS, and for this purpose it may be useful. A framework for measuring error in a categorical coverage Before a complete stochastic model can be developed, the first step is to define the error to be modelled. The various disciplines discussed above have used widely varying concepts of error, but it may be possible to borrow concepts from all of the approaches mentioned.
Why Turk, 1979 could not fit a quasi-independence model with the expected residual structure). Empirical results measure the total error from all processes, and there is no guaranteed mechanism to deconvolve them. Each of the individual components above will be easier to model in isolation, then the error components can be combined. Analytical measures for overlaid maps While this discussion has centered on error, the error model is not simply an end in itself. The fundamental purpose of an error model is to support analysis.
These models developed more slowly than methods for continuous data, but recently both forms of data have been unified in a general linear model. The general linear model (Bishop, Fienberg and Holland, 1975; Bibby, 1977) can be interpreted in a number of forms, although it is solved identically. For categorical data, the linear models can be ªlog-linearº (linear in the logarithms of the frequencies), logistic regression or logit/probit (linear in logarithms of odds ratios). This proposal will refer to the loglinear formulation, although the others might have potential utility.
The Accuracy Of Spatial Databases by Michael F. Goodchild, Sucharita Gopal
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