Cover image for Fractal Geography.
Fractal Geography.
Title:
Fractal Geography.
Author:
Dauphiné, André.
ISBN:
9781118603161
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (216 pages)
Series:
Iste
Contents:
Cover -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- Chapter 1. A Fractal World -- 1.1. Fractals pervade into geography -- 1.1.1. From geosciences to physical geography -- 1.1.2. Urban geography: a big beneficiary -- 1.2. Forms of fractal processes -- 1.2.1. Some fractal forms that make use of the principle of allometry -- 1.2.2. Time series and processes are also fractal -- 1.2.3. Rank-size rules are generally fractal structures -- 1.3. First reflections on the link between power laws and fractals -- 1.3.1. Brief introduction into power laws -- 1.3.2. Some power laws recognized before the fractal era -- 1.4. Conclusion -- Chapter 2. Auto-similar and Self-affine Fractals -- 2.1. The rarity of auto-similar terrestrial forms -- 2.2. Yet more classes of self-affine fractal forms and processes -- 2.2.1. Brownian, fractional Brownian and multi-fractional Brownian motion -- 2.2.2. Lévy models -- 2.2.3. Four examples of generalizations for simulating realistic forms -- 2.3. Conclusion -- Chapter 3. From the Fractal Dimension to Multifractal Spectrums -- 3.1. Two extensions of the fractal dimension: lacunarity and codimension -- 3.1.1. Some territorial textures differentiated by their lacunarity -- 3.1.2. Codimension as a relative fractal dimension -- 3.2. Some corrections to the power laws: semifractals, parabolic fractals and log-periodic distributions -- 3.2.1. Semifractals and double or truncated Pareto distributions -- 3.2.2. The parabolic fractal model -- 3.2.3. Log-periodic distributions -- 3.3. A routine technique in medical imaging: fractal scanning -- 3.4. Multifractals used to describe all the irregularities of a set defined by measurement -- 3.4.1. Definition and characteristics of a multifractal -- 3.4.2. Two functions to interpret: generalized dimension spectrum and singularity spectrum.

3.4.3. An approach that is classical in geosciences but exceptional in social sciences -- 3.4.4. Three potential generalizations -- 3.5. Conclusion -- Chapter 4. Calculation and Interpretation of Fractal Dimensions -- 4.1. Test data representing three categories of fractals: black and white maps, grayscale Landsat images and pluviometric chronicle series -- 4.2. A first incontrovertible stage: determination of the fractal class of the geographical phenomenon studied -- 4.2.1. Successive tests using Fourier or wavelet decompositions -- 4.2.2. Decadal rainfall in Barcelona and Beirut are fractional Gaussian noise -- 4.3. Some algorithms for the calculation of the fractal dimensions of auto-similar objects -- 4.3.1. Box counting, information and area measurement dimensions for auto-similar objects -- 4.3.2. A geographically inconclusive application from perception -- 4.4. The fractal dimensions of objects and self-affine processes -- 4.4.1. A multitude of algorithms -- 4.4.2. High irregularity of decadal rainfall for Barcelona and Beirut -- 4.5. Conclusion -- Chapter 5. The Fractal Dimensions of Rank-size Distributions -- 5.1. Three test series: rainfall heights, urban hierarchies and attendance figures for major French museums -- 5.2. The equivalence of the Zipf, Pareto and Power laws -- 5.3. Three strategies for adjusting the rank-size distribution curve -- 5.3.1. A visual approach using graphs -- 5.3.2. Adjusting the only linear part of the curve -- 5.3.3. Choosing the best adjustment, and therefore the most pertinent law -- 5.3.4. Which rank-size distribution should be used for Italian towns, the main French agglomerations and all French communes? -- 5.4. Conclusion -- Chapter 6. Calculation and Interpretation of Multifractal Spectrums.

6.1. Three data sets for testing multifractality: a chronicle series, a rank-size distribution and satellite images -- 6.2. Distinguishing multifractal and monofractal phenomena -- 6.2.1. An initial imperfect visual test -- 6.2.2. A second statistical test: generalized correlation dimensions -- 6.3. Various algorithms for calculation of the singularity spectrum -- 6.3.1. Generalized box-counting and variogram methods -- 6.3.2. Methods derived from wavelet treatment -- 6.3.3. Interpretation of singularity spectrums -- 6.4. Possible generalizations of the multifractal approach -- 6.5. Conclusion -- Chapter 7. Geographical Explanation of Fractal Forms and Dynamics -- 7.1. Turbulence generates fractal perturbations and multifractal pluviometric fields -- 7.2. The fractality of natural hazards and catastrophic impacts -- 7.3. Other explanations from fields of physical geography -- 7.4. A new geography of populations -- 7.5. Harmonization of town growth distributions -- 7.6. Development and urban hierarchies -- 7.7. Understanding the formation of communication and social networks -- 7.8. Conclusion -- Chapter 8. Using Complexity Theory to Explain a Fractal World -- 8.1. A bottomless pit debate -- 8.2. General mechanisms for explaining power laws -- 8.3. Four theories on fractal universality -- 8.3.1. Critical self-organization theory -- 8.3.2. Béjan's constructal theory -- 8.3.3. Nottale's scale relativity theory -- 8.3.4. A general theory of morphogenesis -- 8.3.5. Chaos and fractal analysis theory -- 8.4. Conclusion -- Chapter 9. Land-use Planning and Managing a Fractal Environment -- 9.1. Fractals, extreme values and risk -- 9.1.1. Under-estimated hazards in preliminary risk assessments -- 9.1.2. Fractal networks, fighting epidemics and Internet breakdowns -- 9.2. Fractals, segmentation and identification of objects in image processing.

9.2.1. New image processing tools -- 9.2.2. Some little-used fractal approaches using a GIS -- 9.3. Fractals, optimization and land management -- 9.4. Fractal beauty and landscaping -- 9.5. Conclusion -- Conclusion -- C.1. Some tools and methods for quantifying and qualifying multiscale coarseness and irregularity -- C.2. A recap on geographical irregularities and disparities -- C.3. A paradigm that gives rise to new land-use management practices -- Appendices -- A.1. Preliminary thoughts on fractal analysis software -- A.2. Instructions for the following programs -- A.3. Software programs for the visual approach of a satellite or cartographicseries or image -- A.4. Software programs for calculating fractal dimensions for a chronicle orfrequency series -- A.5. Software programs for calculating the fractal dimensions of a satellite image or map -- A.6. Software programs for calculating multifractal spectrums of a series and an image -- Bibliography -- Index.
Abstract:
Our daily universe is rough and infinitely diverse. The fractal approach clarifies and orders these disparities. It helps us to envisage new explanations of geographical phenomena, which are, however, considered as definitely understood. Written for use by geographers and researchers from similar disciplines, such as ecologists, economists, historians and sociologists, this book presents the algorithms best adapted to the phenomena encountered, and proposes case studies illustrating their applications in concrete situations. An appendix is also provided that develops programs written in Mathematica. Contents 1. A Fractal World. 2. Auto-similar and Self-affine Fractals. 3. From the Fractal Dimension to Multifractal Spectrums. 4. Calculation and Interpretation of Fractal Dimensions. 5. The Fractal Dimensions of Rank-size Distributions. 6. Calculation and Interpretation of Multifractal Spectrums. 7. Geographical Explanation of Fractal Forms and Dynamics. 8. Using Complexity Theory to Explain a Fractal World. 9. Land-use Planning and Managing a Fractal Environment.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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