On tests of spatial pattern based on simulation envelopes

In the analysis of spatial point patterns, an important role is played by statistical tests based on simulation envelopes, such as the envelope of simulations of Ripley's K function. Recent ecological literature has correctly pointed out a common error in the interpretation of simulation envelo...

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Main Authors: Baddeley, Adrian, Diggle, P., Hardegen, A., Lawrence, T., Milne, R., Nair, G.
Format: Journal Article
Published: ECOLOGICAL SOC AMER 2014
Online Access:http://hdl.handle.net/20.500.11937/5019
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author Baddeley, Adrian
Diggle, P.
Hardegen, A.
Lawrence, T.
Milne, R.
Nair, G.
author_facet Baddeley, Adrian
Diggle, P.
Hardegen, A.
Lawrence, T.
Milne, R.
Nair, G.
author_sort Baddeley, Adrian
building Curtin Institutional Repository
collection Online Access
description In the analysis of spatial point patterns, an important role is played by statistical tests based on simulation envelopes, such as the envelope of simulations of Ripley's K function. Recent ecological literature has correctly pointed out a common error in the interpretation of simulation envelopes. However, this has led to a widespread belief that the tests themselves are invalid. On the contrary, envelope-based statistical tests are correct statistical procedures, under appropriate conditions. In this paper, we explain the principles of Monte Carlo tests and their correct interpretation, canvas the benefits of graphical procedures, measure the statistical performance of several popular tests, and make practical recommendations. There are several caveats including the under-recognized problem that Monte Carlo tests of goodness of fit are probably conservative if the model parameters have to be estimated from data. Finally, we discuss whether graphs of simulation envelopes can be used to infer the scale of spatial interaction.
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institution Curtin University Malaysia
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publishDate 2014
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spelling curtin-20.500.11937-50192017-09-13T14:43:28Z On tests of spatial pattern based on simulation envelopes Baddeley, Adrian Diggle, P. Hardegen, A. Lawrence, T. Milne, R. Nair, G. In the analysis of spatial point patterns, an important role is played by statistical tests based on simulation envelopes, such as the envelope of simulations of Ripley's K function. Recent ecological literature has correctly pointed out a common error in the interpretation of simulation envelopes. However, this has led to a widespread belief that the tests themselves are invalid. On the contrary, envelope-based statistical tests are correct statistical procedures, under appropriate conditions. In this paper, we explain the principles of Monte Carlo tests and their correct interpretation, canvas the benefits of graphical procedures, measure the statistical performance of several popular tests, and make practical recommendations. There are several caveats including the under-recognized problem that Monte Carlo tests of goodness of fit are probably conservative if the model parameters have to be estimated from data. Finally, we discuss whether graphs of simulation envelopes can be used to infer the scale of spatial interaction. 2014 Journal Article http://hdl.handle.net/20.500.11937/5019 10.1890/13-2042.1 ECOLOGICAL SOC AMER restricted
spellingShingle Baddeley, Adrian
Diggle, P.
Hardegen, A.
Lawrence, T.
Milne, R.
Nair, G.
On tests of spatial pattern based on simulation envelopes
title On tests of spatial pattern based on simulation envelopes
title_full On tests of spatial pattern based on simulation envelopes
title_fullStr On tests of spatial pattern based on simulation envelopes
title_full_unstemmed On tests of spatial pattern based on simulation envelopes
title_short On tests of spatial pattern based on simulation envelopes
title_sort on tests of spatial pattern based on simulation envelopes
url http://hdl.handle.net/20.500.11937/5019