Document Type

Journal Article

Department/Unit

Department of Mathematics

Language

English

Abstract

A widely applicable edge correction method for estimating summary statistics of a spatial point pattern is proposed. We reconstruct point patterns in a larger region containing the sampling window by matching sampled and simulated kth nearest neighbour distance distributions of the given pattern and then apply plus sampling. Simulation studies show that this approach, called quasi-plus sampling, gives estimates with smaller root mean squared errors than estimates obtained by using other popular edge corrections. We apply the proposed approach to real data and yield an estimate of a summary statistic that is more plausible than that obtained by a popular edge correction.

Publication Date

8-15-2008

Source Publication Title

Computational Statistics and Data Analysis

Volume

12

Issue

52

Start Page

5287

End Page

5295

Publisher

Elsevier

Peer Reviewed

1

Copyright

Copyright © 2008 Elsevier B.V. All rights reserved.

Funder

This research was partially supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Numbers HKBU2048/02P and HKBU200503) and an FRG grant of the Hong Kong Baptist University.

DOI

10.1016/j.csda.2008.05.012

Link to Publisher's Edition

http://dx.doi.org/10.1016/j.csda.2008.05.012

ISSN (print)

01679473

Included in

Mathematics Commons

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