David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Geographical Analysis 40 (4):380-400 (2008)
This study proposes a new quadrat method that can be applied to the study of point distributions in a network space. While the conventional planar quadrat method remains one of the most fundamental spatial analytical methods on a two-dimensional plane, its quadrats are usually identified by regular, square grids. However, assuming that they are observed along a network, points in a single quadrat are not necessarily close to each other in terms of their network distance. Using planar quadrats in such cases may distort the representation of the distribution pattern of points on a network. The network-based units used in this article, on the other hand, consist of subsets of the actual network, providing more accurate aggregation of the data points along the network. The performance of the network-based quadrat method is compared with that of the conventional quadrat method through a case study on a point distribution on a network. The χ2 statistic and Moran's I statistic of the two quadrat types indicate that (1) the conventional planar quadrat method tends to overestimate the overall degree of dispersion and (2) the network-based quadrat method derives a more accurate estimate on the local similarity. The article also performs sensitivity analysis on network and planar quadrats across different scales and with different spatial arrangements, in which the abovementioned statistical tendencies are also confirmed.
|Keywords||No keywords specified (fix it)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Gaston Heimeriks, Marianne Hörlesberger & Peter Van den Besselaar, Mapping Communication and Collaboration in Heterogeneous Research Networks.
J. McKenzie Alexander (2003). Random Boolean Networks and Evolutionary Game Theory. Philosophy of Science 70 (5):1289-1304.
Ruth Meyer & Bruce Edmonds, Signatures in Networks Generated From Agent-Based Social Simulation Models.
Sjoerd D. Zwart, Ibo van de Poel, Harald van Mil & Michiel Brumsen (2006). A Network Approach for Distinguishing Ethical Issues in Research and Development. Science and Engineering Ethics 12 (4):663-684.
S. Charles, R. Bravo de la Parra, J. P. Mallet, H. Persat & P. Auger (1998). Population Dynamics Modelling in an Hierarchical Arborescent River Network: An Attempt with Salmo Trutta. Acta Biotheoretica 46 (3).
I. López, M. Gámez, J. Garay, T. Standovár & Z. Varga (2010). Application of Change-Point Problem to the Detection of Plant Patches. Acta Biotheoretica 58 (1).
Arash Rahman (2012). Wealth Adjustment Using a No-Interest Credit Network in an Artificial Society. AI and Society 27 (4):535-541.
Barry Wellman (1983). Network Analysis: Some Basic Principles. Sociological Theory 1:155-200.
Added to index2009-01-28
Total downloads3 ( #273,092 of 1,096,454 )
Recent downloads (6 months)2 ( #139,663 of 1,096,454 )
How can I increase my downloads?