Spatial Point Patterns: Methodology and Applications with R
By Adrian Baddeley, E. Rubak, Rolf Turner. 2015
337 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6ef35a8754e09926e1b355b6531957e69a09a253
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Citations in the corpus
- Kinematics in Young Star Clusters and Associations with Gaia DR2 (2018, methodology): “For this analysis, we use the conventional 1/error2 weights and the weighted.median function from the CRAN package spatstat (Baddeley et al. 2015) within the R statistical software environment (R Core Team 2018).”
- Interrogation of the Microenvironmental Landscape in Brain Tumors Reveals Disease-Specific Alterations of Immune Cells (2020, methodology): “Nearest neighbor distance measurements and neighborhood analysis of IF data Nearest neighbor distances from MG and MDM to vessels in IDH wt glioma samples were calculated using the spatstat R package (Baddeley et al., 2015).”
- A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions (2018, methodology): “Likelihood crossvalidation (Baddeley et al., 2015, § 6.5; Loader, 1999, § 5.3) ignores all interaction and assumes that is an inhomogeneous Poisson process.”