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A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
:package: Analyse species-habitat associations in R
sub-package of spatstat containing core functionality for data analysis and modelling
Point patterns for the GeoStats.jl framework
Replication data for point pattern analysis of airplane accidents in Florida (2014)
The R Shiny App for machine learning analysis and visualization of cellular spatial point patterns under hypercaloric diet shifts.
Environmental Interpolation using Spatial Kernel Density Estimation
Dynamic Recursive Point Pattern Matching Algorithm for CBIR
This R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: *Costanzo S., et al. - Creating the funerary landscape in eastern Sudan.
R script code developed by F. Brandolini & F. Carrer to accompany the paper: Filippo Brandolini & Francesco Carrer (2020) "Terra, Silva et Paludes. Assessing the Role of Alluvial Geomorphology for Late-Holocene Settlement Strategies (Po Plain – N Italy) Through Point Pattern Analysis
Inhomogeneous higher-order summary statistics for point processes on linear networks