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The disciplines of landscape ecology and quantitative dynamic stratigraphy have developed independently, but in parallel directions. Both disciplines are concerned with the description, origins, evolution, and consequences of spatial heterogeneity. Both have benefited from rapid developments in remote sensing, geographic information systems, and high-speed computer modeling. Researchers in both fields have recognized the significance of scale-dependent and scale-independent processes and thus the uses of fractal geometry; consequently, numerical methods used for describing spatial heterogeneity in ecological landscapes should be readily applied to the analysis of both model and real-world stratigraphic systems. This paper discusses how landscape statistics, such as diversity, contagion, and lacunarity, can be fruitfully applied to the description of stratigraphic sequences and have the potential for improving model data comparisons.

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