Multitype point process analysis of spines on the dendrite network of a neuron

© 2014 Royal Statistical Society. We develop methods for analysing the spatial pattern of events, classified into several types, that occur on a network of lines. The motivation is the study of small protrusions called 'spines' which occur on the dendrite network of a neuron. The spatially...

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Main Authors: Baddeley, Adrian, Jammalamadaka, A., Nair, G.
Format: Journal Article
Published: WILEY-BLACKWELL 2014
Online Access:http://hdl.handle.net/20.500.11937/35067
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author Baddeley, Adrian
Jammalamadaka, A.
Nair, G.
author_facet Baddeley, Adrian
Jammalamadaka, A.
Nair, G.
author_sort Baddeley, Adrian
building Curtin Institutional Repository
collection Online Access
description © 2014 Royal Statistical Society. We develop methods for analysing the spatial pattern of events, classified into several types, that occur on a network of lines. The motivation is the study of small protrusions called 'spines' which occur on the dendrite network of a neuron. The spatially varying density of spines is modelled by using relative distributions and regression trees. Spatial correlations are investigated by using counterparts of the K-function and pair correlation function, where the main problem is to compensate for the network geometry. This application illustrates the need for careful analysis of spatial variation in the intensity of points, before assessing any evidence of clustering.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T08:39:43Z
publishDate 2014
publisher WILEY-BLACKWELL
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spelling curtin-20.500.11937-350672017-09-13T15:33:15Z Multitype point process analysis of spines on the dendrite network of a neuron Baddeley, Adrian Jammalamadaka, A. Nair, G. © 2014 Royal Statistical Society. We develop methods for analysing the spatial pattern of events, classified into several types, that occur on a network of lines. The motivation is the study of small protrusions called 'spines' which occur on the dendrite network of a neuron. The spatially varying density of spines is modelled by using relative distributions and regression trees. Spatial correlations are investigated by using counterparts of the K-function and pair correlation function, where the main problem is to compensate for the network geometry. This application illustrates the need for careful analysis of spatial variation in the intensity of points, before assessing any evidence of clustering. 2014 Journal Article http://hdl.handle.net/20.500.11937/35067 10.1111/rssc.12054 WILEY-BLACKWELL restricted
spellingShingle Baddeley, Adrian
Jammalamadaka, A.
Nair, G.
Multitype point process analysis of spines on the dendrite network of a neuron
title Multitype point process analysis of spines on the dendrite network of a neuron
title_full Multitype point process analysis of spines on the dendrite network of a neuron
title_fullStr Multitype point process analysis of spines on the dendrite network of a neuron
title_full_unstemmed Multitype point process analysis of spines on the dendrite network of a neuron
title_short Multitype point process analysis of spines on the dendrite network of a neuron
title_sort multitype point process analysis of spines on the dendrite network of a neuron
url http://hdl.handle.net/20.500.11937/35067