Natural landscapes often reveal extremely complex patterns that can be only very roughly characterized by methods of Euclidean geometry. Conversely, fractals can be applied to a variety of landscape ecology problems because they conveniently describe many of the irregular, fragmented patterns found in nature. A strategy for computing local landscape complexity on classified raster GIS layers with a fractal non-regression technique is presented. This strategy is based on the use of Merchant's adaptive geographic window which is designed to operate on a neighborhood of patches instead of a fixed rectangular neighborhood of pixels (the conventional approach in image analysis). Preliminary results show that, owing to its enhanced flexibility, the geographic window seems to be a more appropriate tool for calculating local landscape complexity of classified raster GIS layers than the traditional rectangular geometric window.

Geographic windows in the fractal analysis of local landscape complexity / Ricotta, Carlo; G. C., Avena; E. R., Olsen. - 22:1-2(1998), pp. 143-147.

Geographic windows in the fractal analysis of local landscape complexity

RICOTTA, Carlo;
1998

Abstract

Natural landscapes often reveal extremely complex patterns that can be only very roughly characterized by methods of Euclidean geometry. Conversely, fractals can be applied to a variety of landscape ecology problems because they conveniently describe many of the irregular, fragmented patterns found in nature. A strategy for computing local landscape complexity on classified raster GIS layers with a fractal non-regression technique is presented. This strategy is based on the use of Merchant's adaptive geographic window which is designed to operate on a neighborhood of patches instead of a fixed rectangular neighborhood of pixels (the conventional approach in image analysis). Preliminary results show that, owing to its enhanced flexibility, the geographic window seems to be a more appropriate tool for calculating local landscape complexity of classified raster GIS layers than the traditional rectangular geometric window.
1998
Scale, Pattern, Fractals and Diversity,
9789638326188
convolution operations; geographic information systems (gis); landscape complexity; fractals
02 Pubblicazione su volume::02a Capitolo o Articolo
Geographic windows in the fractal analysis of local landscape complexity / Ricotta, Carlo; G. C., Avena; E. R., Olsen. - 22:1-2(1998), pp. 143-147.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/164119
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