American Journal of Mathematical Analysis
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American Journal of Mathematical Analysis. 2014, 2(1), 1-3
DOI: 10.12691/ajma-2-1-1
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Spatial Pattern Analysis of two Landscape in North-Western Parts of Orissa, India

Uttam Ghosh1, and Dilip Kumar Khan2

1Department of Mathematics, Nabadwip Vidyasagar College, Nadia, West Bengal

2Department of Environmental Science, University of Kalyani, Nadia, West Bengal

Pub. Date: January 10, 2014

Cite this paper:
Uttam Ghosh and Dilip Kumar Khan. Spatial Pattern Analysis of two Landscape in North-Western Parts of Orissa, India. American Journal of Mathematical Analysis. 2014; 2(1):1-3. doi: 10.12691/ajma-2-1-1


Landscapes are heterogeneous spatial unit. The spatial heterogeneity is determined with the help of mathematical indices. Information index indicate order and disorder in landscape pattern formation. Fractal pattern of landscape indicate spatial heterogeneity. Propagation of disturbances across spatial pattern could also be described by percolation values. A comparison of three indices helps us to visualize the pattern formation across landscapes with probable causes. Two typical landscapes of north-western parts of Orissa, India is taken as sample study. The obtained entropy values, fractal dimensions and percolation pattern indicate complexity in the pattern development due to intense anthropogenic activities rather than natural one.

spatial heterogeneity fractal pattern percolation pattern anthropogenic activities

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