A Generalized Non-Regression Technique for Evaluating the Fractal Dimension of Raster GIS Layers Consisting of Non-Square Cells

Authors

Carlo Ricotta, University of Rome
Eric R. Olsen, Sedona GeoServices Inc.
R. Douglas Ramsey, Utah State UniversityFollow
David S. Winn, Utah State University

Document Type

Article

Journal/Book Title/Conference

Coenoses

Volume

12

Issue

1

Publisher

Springer

Publication Date

1-1-1997

First Page

23

Last Page

26

Abstract

Natural landscapes often reveal extremely complex patterns that can only be very roughly characterized by methods of Euclidean geometry. In contrast, fractals can be applied to a variety of landscape ecology problems because they conveniently describe many of the irregular, fragmented patterns found in nature. This paper focuses on a fractal-based measure of landscape complexity for grid-based GIS layers. A non-regression technique for measuring the distribution of diversity within a raster database consisting of square cells is generalized to incorporate any regular shaped grid cell (e.g. regular polygon, rectangle) that forms a continuous, fully tessellated grid.

Recommended Citation

Ricotta, Carlo; Olsen, Eric R.; Ramsey, R. Douglas; and Winn, David S., "A Generalized Non-Regression Technique for Evaluating the Fractal Dimension of Raster GIS Layers Consisting of Non-Square Cells" (1997). Wildland Resources Faculty Publications. Paper 3207.
https://digitalcommons.usu.edu/wild_facpub/3207