Abstract-Restoration planning, evaluation, and implementation are of paramount importance in many areas where the magnitude of the abiotic and biotic disturbance agents has altered the resources and conditions of forest landscapes. However, the effect of restoration practices is difficult to measure, and in many areas the restoration goals are yet less clear. Landscape modeling provides useful ...

Quantifying landscape pattern and its change are essential for the monitoring and assessment of environmental consequences of urban area. This paper aims to analyze spatiotemporal patterns of urban landscape changes in Kathmandu Valley, Nepal by combining remote sensing, GIS and landscape metrics. Multi-temporal satellite images from high resolution (CORONA, SPIN and IKONOS) to moderate resolut...

The interrelationships of the fundamental biological processes natural selection, mutation, and stochastic drift are quantified by the entropy rate of Moran processes with mutation, measuring the long-run variation of a Markov process. The entropy rate is shown to behave intuitively with respect to evolutionary parameters such as monotonicity with respect to mutation probability (for the neutra...

We present a fractal technique for addressing geometric analogy problems from the Raven's Standard Progressive Matrices test of general intelligence. In this method, an image is represented fractally, capturing its inherent selfsimilarity. We apply these fractal representations to problems from the Raven's test, and show how these representations afford a new method for solving complex geometri...

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We investigate the influence of fractal structure on material properties. We calculate the statistical correlation functions of fractal media defined by level-cut Gaussian random fields. This allows the modeling of both surface fractal and mass fractal materials. Variational bounds on the conductivity, diffusivity and elastic moduli of the materials are evaluated. We find that a fractally rough...

Extrapolating landscape regression models for use in assessing vector-borne disease risk and other applications requires thoughtful evaluation of fundamental model choice issues. To examine implications of such choices, an analysis was conducted to explore the extent to which disparate landscape models agree in their epidemiological and entomological risk predictions when extrapolated to new re...