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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.
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
Environmental Interpolation using Spatial Kernel Density Estimation
Inhomogeneous higher-order summary statistics for point processes on linear networks