Ancient Maya settlement patterns exhibit fractal geometry both within communities and across regions. Fractals are self-similar sets of fractional dimension. In this paper, we show how Maya settlement patterns are logically and statistically self-similar. We demonstrate how to measure the fractal dimensions (or Hausdorff–Besicovitch dimensions) of several data sets. We describe nonlinear dynamical processes, such as chaotic and self-organized critical systems, that generate fractal patterns. As an illustration, we show that the fractal dimensions calculated for some Maya settlement patterns are similar to those produced by warfare, supporting recent claims that warfare is a significant factor in Maya settlement patterning
To use fractal models for ecological and geologic data, the statistical properties of fractals need ...
Coastal settlements in urban areas show certain degrees of spatial complexity. Understanding the evo...
Fractal geometry and chaos theory are deeply rooted in significant problems in the history of mathem...
Since the late 1970s, Complexity Scientists have shown that many natural systems possess similar geo...
Objects in nature are often very irregular, so that, within the constraints of Euclidean geometry, o...
Fractal is a set, which geometric pattern is self-similar at different scales. It has a fractal dime...
The notion of fractal, introduced in the 1970s by Benoît Mandelbrot to designate sets possessing par...
The central place models are fundamentally important in theoretical geography and city planning theo...
Fractal analysis has entered a new era. The applications to different areas of knowledge have been s...
Fractal geometry is a branch of mathematics that deals with, on a basic level, repeating geometric p...
The shapes of rain cells as they are recorded by meteorological radar can appear chaotic, especially...
Fractal Cities is a pioneering study of the development and use of fractal geometry for understandin...
Fractals fascinates both academics and art lovers. They are a form of chaos. A key feature that dist...
Using box-counting and spatial regression, this paper analyzes the morphological characteristics of ...
Lengths of all caves in a region have been observed previously to be distributed hyperbolically, lik...
To use fractal models for ecological and geologic data, the statistical properties of fractals need ...
Coastal settlements in urban areas show certain degrees of spatial complexity. Understanding the evo...
Fractal geometry and chaos theory are deeply rooted in significant problems in the history of mathem...
Since the late 1970s, Complexity Scientists have shown that many natural systems possess similar geo...
Objects in nature are often very irregular, so that, within the constraints of Euclidean geometry, o...
Fractal is a set, which geometric pattern is self-similar at different scales. It has a fractal dime...
The notion of fractal, introduced in the 1970s by Benoît Mandelbrot to designate sets possessing par...
The central place models are fundamentally important in theoretical geography and city planning theo...
Fractal analysis has entered a new era. The applications to different areas of knowledge have been s...
Fractal geometry is a branch of mathematics that deals with, on a basic level, repeating geometric p...
The shapes of rain cells as they are recorded by meteorological radar can appear chaotic, especially...
Fractal Cities is a pioneering study of the development and use of fractal geometry for understandin...
Fractals fascinates both academics and art lovers. They are a form of chaos. A key feature that dist...
Using box-counting and spatial regression, this paper analyzes the morphological characteristics of ...
Lengths of all caves in a region have been observed previously to be distributed hyperbolically, lik...
To use fractal models for ecological and geologic data, the statistical properties of fractals need ...
Coastal settlements in urban areas show certain degrees of spatial complexity. Understanding the evo...
Fractal geometry and chaos theory are deeply rooted in significant problems in the history of mathem...