Community Ecology
Volume/Issue:
Volume 7: Issue 2
Digital representation of spatial variation of multivariate landscape data
Authors:
A. AltobelliUniversity of Trieste Department of Biology Via Weiss 2 I-34127 Trieste Italy

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E. BressanUniversity of Trieste Department of Biology Via Weiss 2 I-34127 Trieste Italy

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E. FeoliUniversity of Trieste Department of Biology Via Weiss 2 I-34127 Trieste Italy

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P. GanisUniversity of Trieste Department of Biology Via Weiss 2 I-34127 Trieste Italy

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F. MartiniUniversity of Trieste Department of Biology Via Giorgieri 10 I-34127 Trieste Italy

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Pages:
181–188
Online Publication Date:
23 Jan 2007
Publication Date:
01 Dec 2006
Article Category:
Research Article
DOI:
https://doi.org/10.1556/comec.7.2006.2.5
Keywords:
Classification; Flora; GIS; Multivariate data; Landscape; Similarity; Spatial patterns
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We propose a method that has general relevance to the digital representation of spatial variation of multivariate landscape data. It is based on the average similarity that operational geographic units (OGU) have with the adjacent ones according to characters relevant understanding landscape patterns and dynamics. The method is flexible and easily executable within the technological framework of geographic information systems (GIS) that today is available even free of charge or at very low cost. An example shows how the method, applied to spatial data of a floristic project for the urban area of Trieste (NE-Italy), can identify floristically homogeneous patches and can quantify the heterogeneity of the transition zones between such patches.

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Cover Community Ecology
Community Ecology An Interdisciplinary Journal Reporting Progress in Community and Population Studies
Print ISSN:
1585-8553
Online ISSN:
1588-2756

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Community Ecology
Language English
Size A4
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Foundation		 2000
Volumes
per Year		 1
Issues
per Year		 3
Founder Akadémiai Kiadó
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Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
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Springer Nature Switzerland AG
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ISSN 1585-8553 (Print)
ISSN 1588-2756 (Online)

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