On wavelet-based energy densities for spatial point processes
2013
D’Ercole, R. | Mateu, J.
A spatial point process can be considered a random measure and therefore represented as a countable sum of Delta Dirac measures concentrated at some points of the process. Applying a two-dimensional continuous wavelet transform of a point process, we analyse structural properties of the point process by defining new indicators based on partial energy densities. We obtain close forms for these indicators and use them to detect anisotropy in spatial point patterns.
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书目信息
出版者
Springer-Verlag
其它主题
Wavelet
语言
英语
类型
Journal Article; Text
2024-02-28
MODS