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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.