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We propose a wavelet-based approach to measure the Shannon entropy in the context of spatial point patterns. The method uses the fully anisotropic Morlet wavelet to estimate the energy distribution at different directions and scales. The spatial heterogeneity and complexity of spatial point patterns is then analyzed using the multiscale anisotropic  avelet entropy. The efficacy of the approach is shown through a simulation study. Finally,an application to the catalog of earthquake events in Chile is considered

2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile