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  <title>Unitus DSpace</title>
  <link rel="alternate" href="http://http://dspace.unitus.it:80" />
  <subtitle>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://http://dspace.unitus.it:80</id>
  <updated>2013-05-19T18:42:08Z</updated>
  <dc:date>2013-05-19T18:42:08Z</dc:date>
  <entry>
    <title>LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2134" />
    <author>
      <name>Ricotta, Carlo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <author>
      <name>Innamorati, Stefano</name>
    </author>
    <id>http://hdl.handle.net/2067/2134</id>
    <updated>2011-06-14T00:30:54Z</updated>
    <published>2002-12-31T23:00:00Z</published>
    <summary type="text">Title: LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows
Authors: Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco; Chirici, Gherardo; Innamorati, Stefano
Abstract: Landscape ecology starts from the assumption that diversity and spatial arrangement of ecosystem mosaics have ecological&#xD;
implications and tries to understand the interactions between diversity and structure of large spatially heterogeneous areas and their&#xD;
ecological functions. These assumptions imply effective use of earth observation techniques and geographic information systems,&#xD;
enabling a global view of the landscape mosaics. In this paper, a software, LaDy (Landscape Diversity Software), for computing&#xD;
Re´nyi’s local landscape diversity profile on raster land cover maps is presented. LaDy is based on the use of Merchant’s adaptive&#xD;
geographic window, which is designed to operate on a neighborhood of patches instead of a fixed rectangular neighborhood of&#xD;
pixels (the conventional approach in image analysis).
Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com</summary>
    <dc:date>2002-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>On parametric fragmentation measures</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2131" />
    <author>
      <name>Ricotta, Carlo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <author>
      <name>Chirici, Gherardo</name>
    </author>
    <id>http://hdl.handle.net/2067/2131</id>
    <updated>2011-06-14T00:30:55Z</updated>
    <published>2005-12-31T23:00:00Z</published>
    <summary type="text">Title: On parametric fragmentation measures
Authors: Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco; Chirici, Gherardo
Abstract: In the landscape ecological literature, a number&#xD;
of measures have been proposed for quantifying landscape&#xD;
fragmentation based on distinct objectives and&#xD;
motivations. However, none seems to be generally preferred.&#xD;
The main reason for this disagreement is that,&#xD;
from a statistical viewpoint, by mapping fragmentation&#xD;
into a single scalar, information is necessarily lost and&#xD;
no ideal function is able to uniquely characterize all&#xD;
aspects of landscape fragmentation. A more complete&#xD;
summarization of fragmentation is possible if, instead of&#xD;
one single index, a parametric index family is applied&#xD;
whose members have varying sensitivities to the presence&#xD;
of large and small landscape patches. While traditional&#xD;
indices supply point descriptions of fragmentation,&#xD;
according to a parametric fragmentation family Ha,&#xD;
there is a continuum of possible fragmentation measures&#xD;
that differ in their sensitivity to the presence of large and&#xD;
small patches as a function of the scaling parameter a.&#xD;
Therefore, changing a allows for vector description of&#xD;
fragmentation. The purpose of this paper is to introduce&#xD;
a parametric generalization of Shannon’s entropy to&#xD;
summarize landscape fragmentation. A small set of&#xD;
artificial landscapes is used to clarify our proposal
Description: L'articolo è disponibile sul sito dell'editore www.springerlink.com</summary>
    <dc:date>2005-12-31T23:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Beware of contagion!</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/2121" />
    <author>
      <name>Ricotta, Carlo</name>
    </author>
    <author>
      <name>Corona, Piermaria</name>
    </author>
    <author>
      <name>Marchetti, Marco</name>
    </author>
    <id>http://hdl.handle.net/2067/2121</id>
    <updated>2011-06-10T00:30:15Z</updated>
    <published>2002-12-31T23:00:00Z</published>
    <summary type="text">Title: Beware of contagion!
Authors: Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco
Abstract: Landscape ecology starts from the assumption that diversity and spatial arrangement of ecosystem mosaics has ecological&#xD;
implications and tries to understand the interactions between diversity and structure of large spatially heterogeneous areas&#xD;
and its ecological functions. This approach implies effective use of earth observation techniques and geographic information&#xD;
systems, enabling a global view of the landscape mosaics. Consequently, a large number of indices has been used to quantify&#xD;
the structure of categorical maps as a surrogate of actual landscapes and correlate them to ecological processes. In particular,&#xD;
the entropy-based contagion index has been extensively used to summarize the amount of clumping or fragmentation of&#xD;
patches on raster categorical maps. However, despite its widespread application, the contagion index is very dependent on&#xD;
pixel resolution. This effect may render it inadequate as a meaningful measure of landscape structure. To overcome this major&#xD;
shortcoming, in this short note we propose to quantify pixel adjacency with a bivariate summary statistics that is not adversely&#xD;
influenced by pixel resolution.
Description: L'articolo è disponibile sul sito dell'editore www.elsevier.com</summary>
    <dc:date>2002-12-31T23:00:00Z</dc:date>
  </entry>
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