Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10138
Title: Beyond pairs: Generalizing the geo-dipole for quantifying spatial patterns in geographic fields
Authors: Zhu, Rui 
Kyriakidis, Phaedon 
Janowicz, Krzysztof 
Keywords: Geo-multipole;Geographic field analysis;Multiple-point (geo)statistics;Spatial interaction;Spatial pattern
Category: Civil Engineering
Field: Engineering and Technology
Issue Date: 1-Jan-2017
Publisher: Kluwer Academic Publishers
Source: 20th AGILE International Conference on Geographic Information Science, 2017, Wageningen, Netherlands
metadata.dc.doi: 10.1007/978-3-319-56759-4_19
Abstract: With their increasing availability and quantity, remote sensing images have become an invaluable data source for geographic research and beyond. The detection and analysis of spatial patterns from such images and other kinds of geographic fields, constitute a core aspect of Geographic Information Science. Per-cell analysis, where one cell’s characteristics are considered (geo-atom), and interactionbased analysis, where pairwise spatial relationships are considered (geo-dipole), have been widely applied to discover patterns. However, both can only characterize simple spatial patterns, such as global (overall) statistics, e.g., attribute average, variance, or pairwise auto-correlation. Such statistics alone cannot capture the full complexity of urban or natural structures embedded in geographic fields. For example, empirical (sample) correlation functions established from visually different patterns may have similar shapes, sills, and ranges. Higher-order analyses are therefore required to address this shortcoming. This work investigates the necessity and feasibility of extending the geo-dipole to a new construct, the geo-multipole, in which attribute values at multiple (more than two) locations are simultaneously considered for uncovering spatial patterns that cannot be extracted otherwise. We present experiments to illustrate the advantage of the geo-multipole over the geodipole in terms of quantifying spatial patterns in geographic fields. In addition, we highlight cases where two-point measures of spatial association alone are not sufficient to describe complex spatial patterns; for such cases, the geo-multipole and multiple-point (geo)statistics provide a richer analytical framework.
URI: http://ktisis.cut.ac.cy/handle/10488/10138
ISBN: 9783319472881
Rights: © Springer International Publishing AG 2017.
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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