Abstract
Spatial data are similar to longitudinal data that evolve over time (Chapters 4, 5, and 7) in that there will generally be dependence among the responses. However, they are more complex because dependence can be on neighbours in all directions and not just through ordered unidimensional history. Thus, we shall not be able to develop a multivariate model that decomposes in a simple way, as in Equation (5.1). Generally, approximations have to be made.
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© 1997 Springer-Verlag New York, Inc.
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(1997). Spatial Data. In: Applying Generalized Linear Models. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22730-6_8
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DOI: https://doi.org/10.1007/978-0-387-22730-6_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98218-2
Online ISBN: 978-0-387-22730-6
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