Transformations Through Space and Time | An Analysis of Nonlinear Structures, Bifurcation Points and Autoregressive Dependencies

Daniel A. Griffith (u. a.)

ISBN 10: 9401084726 / ISBN 13: 9789401084727

Published by Springer, 2011

About this Item

Transformations Through Space and Time | An Analysis of Nonlinear Structures, Bifurcation Points and Autoregressive Dependencies | Daniel A. Griffith (u. a.) | Taschenbuch | NATO Science Series D: | 336 S. | Englisch | 2011 | Springer | EAN 9789401084727 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105624220

Bibliographic Details

• Title: Transformations Through Space and Time | An Analysis of Nonlinear Structures, Bifurcation Points and Autoregressive Dependencies
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 9401084726
• ISBN 13: 9789401084727
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 517 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In recent years there has been a growing concern for the development of both efficient and effective ways to handle space-time problems. Such developments should be theoretically as well as empirically oriented. Regardless of which of these two arenas one enters. the impression is quickly gained that contemporary wO,rk on dynamic and evolutionary models has not proved to be as illuminating and rewarding as first anticipated. Historically speaking. the single. most important lesson this avenue of research has provided. is that linear models are woefully inadequate when dominant non-linear trends and relationships prevail. and that independent activities and actions are all but non-existent in the real-world. Meanwhile. one prominent imp 1 ication stemming from this 1 iterature is that the easiest modelling tasks are those of specifying good dynamic space-time models. Somewhat more problematic are the statistical questions of model specification. parameter estimation. and model validation. whereas even more problematic is the operationalization of evolutionary conceptual models. A timely next step in spatial analysis would seem to be a return to basics. with a pronounced focus both on specific problems (and data) and on the mechanisms that transform phenomena through space and/or time'. It appears that these transformation mechanisms must embrace both non-linear and autoregressive formalisms. Given. also. the variety of geographic forms. they must allow for bifurcation points to emerge. too.