Spatial analysis and simulation of ecological communities
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Updated
May 22, 2024 - R
Spatial analysis and simulation of ecological communities
📦 Analyse species-habitat associations in R
sub-package of spatstat containing core functionality for data analysis and modelling
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.
Point patterns for the GeoStats.jl framework
Spatio-temporal point patterns on linear networks
Environmental Interpolation using Spatial Kernel Density Estimation
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
R Package providing the Adapted Pair Correlation Function
The R Shiny App for machine learning analysis and visualization of cellular spatial point patterns under hypercaloric diet shifts.
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.
Dynamic Recursive Point Pattern Matching Algorithm for CBIR
Point pattern analysis library and command line tool in Rust
Replication data for point pattern analysis of airplane accidents in Florida (2014)
Inhomogeneous higher-order summary statistics for point processes on linear networks
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