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

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 mode...

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Bibliographic Details
Published in:Journal of the Royal Statistical Society 2014-11, Vol.63 (5), p.673-694
Main Authors: Baddeley, Adrian, Jammalamadaka, Aruna, Nair, Gopalan
Format: Article
Language:English
Subjects:
Cluster analysis
Correlation
Distribution
Geometry
Inhomogeneous K-function
K-function
Linear network
Motivation
Networks
Neurons
Pair correlation function
Point process
Regression trees
Spatial point patterns
Statistical methods
Studies
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Summary: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.
ISSN:0035-9254
1467-9876
DOI:10.1111/rssc.12054