Next Article in Journal
A Geospatial Cyberinfrastructure for Urban Economic Analysis and Spatial Decision-Making
Next Article in Special Issue
GeoMemories—A Platform for Visualizing Historical, Environmental and Geospatial Changes in the Italian Landscape
Previous Article in Journal
A Collaborative Geospatial Shoreline Inventory Tool to Guide Coastal Development and Habitat Conservation
Previous Article in Special Issue
Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches
ISPRS Int. J. Geo-Inf. 2013, 2(2), 405-412; doi:10.3390/ijgi2020405
Communication

Measuring Scale-Dependent Landscape Structure with Rao’s Quadratic Diversity

1
 and
2,*
Received: 5 March 2013 / Revised: 3 May 2013 / Accepted: 6 May 2013 / Published: 14 May 2013
(This article belongs to the Special Issue Geospatial Monitoring and Modelling of Environmental Change)
View Full-Text   |   Download PDF [465 KB, uploaded 14 May 2013]   |   Browse Figures

Abstract

In this paper, we apply a special application of the Rao quadratic diversity for multiscale analysis of land use changes in a mixed agricultural-forest landscape in Central Italy. The proposed approach is similar to a block-size analysis of compositional diversity for which a given landscape is overlaid with a series of square grids composed of increasingly larger boxes. The combination of land cover classes in each box is recorded, and the Rao quadratic diversity is computed for the frequency distribution of the land cover classes at each box-size. Plotting compositional diversity versus box-size provides information on the scale-dependent pattern of the landscape. Since the proposed methodology is not severely influenced by the co-registration accuracy of the underlying data sets, it may prove to be reasonably adequate for analyzing historical data sets of varying resolution and quality, like aerial photographs or categorical maps.
Keywords: compositional diversity; Isernia; land cover change; landscape complexity; scaling functions; spatial process compositional diversity; Isernia; land cover change; landscape complexity; scaling functions; spatial process
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Ricotta, C.; Carranza, M.L. Measuring Scale-Dependent Landscape Structure with Rao’s Quadratic Diversity. ISPRS Int. J. Geo-Inf. 2013, 2, 405-412.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert