Entropy Analysis of Multiple Scale Causality and Qualitative Causal Shifts in Spatial Systems

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

Abstract:

Spatial systems are typically characterized by multiple controlling factors and processes operating at different spatial and temporal scales (multiple scale causality [MSC]). An entropy decomposition-based approach to MSC is presented here in two contexts. First, given maps or distributions of an observed phenomenon at two or more scales, the contribution at more local or global (relative to the primary scale of observation) controls to the observed entropy can be estimated. Second, a theoretical treatment of the entropy decomposition equations shows that as the range of scale is increased by broadening or narrowing resolutions or by incorporating more controls, the influence of larger or smaller-scale influences not only changes, but may change qualitatively, e.g., in terms of having positive (entropy-increasing) or negative (information-increasing) effects. Such qualitative causal shifts have implications for efforts to use any single causal explanation across the molecular to planetary spatial and instantaneous to geological range of scales relevant to physical geography. The entropy decomposition method is illustrated with an application to soil landscapes in the Ouachita Mountains, Arkansas.

Keywords: entropy; multiple scale causality; qualitative causal shift; scale; scale linkage

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.0033-0124.2005.00461.x

Affiliations: University of Kentucky

Publication date: February 1, 2005

Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more