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Random Fields for Spatial Data Modeling pp 785–788Cite as

Epilogue

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Part of the book series: Advances in Geographic Information Science ((AGIS))

Abstract

This book focuses on spatial data that can be represented by means of scalar spatial random fields defined in continuum space. Spatial data sets, on the other hand, consist of measurements collected over countable sets of points. Such measurements are treated as a sample of the underlying continuum random field.

I had set out once to store, to codify, to annotate the past …. I had failed in it (perhaps it was hopeless?)—for no sooner had I embalmed one aspect of it in words than the intrusion of new knowledge disrupted the frame of reference, everything flew asunder, only to reassemble again in unforeseen, unpredictable patterns ….Clea, The Alexandria Quartet, by Lawrence Durrell

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Authors and Affiliations

  1. Technical University of Crete, Chania, Greece

    Dionissios T. Hristopulos

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  1. Dionissios T. Hristopulos
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Hristopulos, D.T. (2020). Epilogue. In: Random Fields for Spatial Data Modeling. Advances in Geographic Information Science. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1918-4_17

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