Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes
From MaRDI portal
Publication:5445932
DOI10.1007/0-387-31144-0_16OpenAlexW1785182014MaRDI QIDQ5445932
Frederic Paik Schoenberg, Alejandro Veen
Publication date: 6 March 2008
Published in: Case Studies in Spatial Point Process Modeling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/0-387-31144-0_16
inhomogeneitygoodness-of-fit of spatial point process modelsspatial distribution of earthquakesweighted Ripley's \(K\)-function
Related Items (12)
A second-order test to detect spatio-temporal anisotropic effects in point patterns ⋮ Multivariate geometric anisotropic Cox processes ⋮ Self-exciting hurdle models for terrorist activity ⋮ Hidden Markov models for the activity profile of terrorist groups ⋮ Local inhomogeneous second-order characteristics for spatio-temporal point processes occurring on linear networks ⋮ Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes ⋮ Thinning spatial point processes into Poisson processes ⋮ Voronoi residual analysis of spatial point process models with applications to California earthquake forecasts ⋮ Assessment of point process models for earthquake forecasting ⋮ Assessing Goodness-of-Fit in Marked-Point Process Models of Neural Population Coding via Time and Rate Rescaling ⋮ Residual analysis methods for space-time point processes with applications to earthquake forecast models in California ⋮ Local spatial log-Gaussian Cox processes for seismic data
This page was built for publication: Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes
