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Efficient Computation of Spatial Entropy Measures
Linda Altieri1, Daniela Cocchi1, Giulia Roli1
1Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy.
Entropy (Basel, Switzerland)
|December 23, 2023
Summary
Spatial entropy indices measure data heterogeneity. The SpatEntropy R package simplifies their use, aiding analysis of complex spatial data like endangered species habitats, revealing relationships with environmental factors.
Area of Science:
- Ecology
- Spatial Statistics
- Conservation Biology
Background:
- Spatial entropy indices quantify data heterogeneity but face implementation and interpretation challenges.
- Existing methods for spatial entropy lack accessible computational tools and clear guidelines.
- The R package SpatEntropy aims to bridge this gap for researchers.
Purpose of the Study:
- To introduce the enhanced SpatEntropy R package for spatial entropy analysis.
- To provide practical guidelines for implementing and interpreting spatial entropy measures.
- To demonstrate the package's utility in analyzing complex spatial ecological data.
Main Methods:
- Utilized three primary spatial entropy approaches: area partitions, inter-observation distances, and decomposable spatial entropy.
- Applied the SpatEntropy R package to analyze spatial distribution of gorilla nesting sites in Cameroon.
- Incorporated environmental covariates and analyzed both point and pixel datasets to assess spatial heterogeneity.
Main Results:
- Demonstrated the SpatEntropy package's efficiency, providing results in minutes with minimal user effort.
- Revealed that gorilla nesting diversity is linked to environmental covariates, not inter-nest distances.
- Highlighted the scale-dependent nature of spatial entropy measures using real-world ecological data.
Conclusions:
- The SpatEntropy package effectively supports researchers in complex spatial data analysis.
- Spatial entropy indices are valuable tools for assessing diversity in ecological and conservation studies.
- The package facilitates the interpretation of spatial heterogeneity, linking it to environmental drivers.
Keywords:
Batty’s entropyLeibovici’s entropyO’Neill’s entropybiodiversitydistance-based entropygorilla nesting sitesmultinomial datapoint dataMore Related Videos
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