Abstract
In the last three chapters of this work, I shall attempt to throw some light on the physical content that is implicit in the probabilistic models we use to represent regionalized phenomena. The richness of a physical concept is measured by the number and variety of the phenomena between which it highlights similarities and therefore by the richness of the network of relationships and physical laws in which it is involved. It is this network that, strictly speaking, constitutes the operational definition of the concept. We shall therefore have to carry out a full-scale operational reconstruction of our probabilistic models. It is an immense task, and there is no question of being able to carry it out in its entirety. I shall content myself with examining some typical particular cases, without even claiming in any way that the procedure I shall follow (namely going through the intermediary of “probabilistic representations”) is the only possible one, or even necessarily the best.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Matheron, G. (1989). Global Models. In: Estimating and Choosing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48817-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-48817-7_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50087-2
Online ISBN: 978-3-642-48817-7
eBook Packages: Springer Book Archive