The Law of Scale Independence

Geography and geosciences deal with phenomena that span spatial scales from the molecular to the planetary, and temporal scales from instantaneous to billions of years. A strong reductionist tradition in geosciences and spatial sciences tempts us to seek to apply similar representations and process-...

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Main Author: Jonathan D. Phillips
Format: Article
Language:English
Published: Taylor & Francis Group 2022-01-01
Series:Annals of GIS
Subjects:
Online Access:http://dx.doi.org/10.1080/19475683.2022.2026466
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author Jonathan D. Phillips
author_facet Jonathan D. Phillips
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description Geography and geosciences deal with phenomena that span spatial scales from the molecular to the planetary, and temporal scales from instantaneous to billions of years. A strong reductionist tradition in geosciences and spatial sciences tempts us to seek to apply similar representations and process-based explanations across these vast-scale ranges, usually from a bottom-up perspective. However, the law of scale independence (LSI) states that for any phenomenon that exists across a sufficiently large range of scales, there exists a scale separation distance at which the scales are independent with respect to system dynamics and explanation. The LSI is evaluated here from five independent perspectives: geographic intuition, dynamical systems theory, Kolmogorov entropy, hierarchy theory, and algebraic graph theory. All of these support the LSI. Results indicate that rather than attempting to identify the largest or smallest relevant scales and work down or up from there, the LSI dictates a strategy of focusing directly on the most important or interesting scales. An example is given from a hierarchical state factor model of ecosystem responses to climate change.
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spelling doaj.art-a85ccd4b57584e6999f0c40077f7ede02022-12-21T19:30:07ZengTaylor & Francis GroupAnnals of GIS1947-56831947-56912022-01-01281152910.1080/19475683.2022.20264662026466The Law of Scale IndependenceJonathan D. Phillips0University of KentuckyGeography and geosciences deal with phenomena that span spatial scales from the molecular to the planetary, and temporal scales from instantaneous to billions of years. A strong reductionist tradition in geosciences and spatial sciences tempts us to seek to apply similar representations and process-based explanations across these vast-scale ranges, usually from a bottom-up perspective. However, the law of scale independence (LSI) states that for any phenomenon that exists across a sufficiently large range of scales, there exists a scale separation distance at which the scales are independent with respect to system dynamics and explanation. The LSI is evaluated here from five independent perspectives: geographic intuition, dynamical systems theory, Kolmogorov entropy, hierarchy theory, and algebraic graph theory. All of these support the LSI. Results indicate that rather than attempting to identify the largest or smallest relevant scales and work down or up from there, the LSI dictates a strategy of focusing directly on the most important or interesting scales. An example is given from a hierarchical state factor model of ecosystem responses to climate change.http://dx.doi.org/10.1080/19475683.2022.2026466law of scale independencescale linkagescale hierarchygeographical systemsstate factor model
spellingShingle Jonathan D. Phillips
The Law of Scale Independence
Annals of GIS
law of scale independence
scale linkage
scale hierarchy
geographical systems
state factor model
title The Law of Scale Independence
title_full The Law of Scale Independence
title_fullStr The Law of Scale Independence
title_full_unstemmed The Law of Scale Independence
title_short The Law of Scale Independence
title_sort law of scale independence
topic law of scale independence
scale linkage
scale hierarchy
geographical systems
state factor model
url http://dx.doi.org/10.1080/19475683.2022.2026466
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