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bwimage: A package to describe image patterns in natural structures
Carlos Biagolini-Jr1, Regina H Macedo2
1Programa de Pós-Graduação em Ecologia, Universidade de Brasília, Brasília, DF, 70910-900, Brazil.
F1000Research
|May 13, 2020
Summary
This study introduces bwimage, an R package for analyzing black and white images. It offers tools for ecological pattern analysis, including a new aggregation index, useful for vegetation and nest structure studies.
Area of Science:
- Ecology
- Image Analysis
- Computational Biology
Background:
- R is a widely used software for biological data analysis.
- Analyzing patterns in black and white images is crucial for various ecological studies.
- Existing methods may not fully capture complex spatial patterns.
Purpose of the Study:
- Introduce bwimage, a novel R package for analyzing black and white images.
- Provide tools for quantifying ecological patterns, particularly in vegetation and structures.
- Develop and implement new parameters for enhanced pattern description.
Main Methods:
- Developed the bwimage R package implementing existing and novel functions.
- Utilized functions for calculating parameters related to vegetation structure.
- Introduced and defined a new 'aggregation index' parameter.
Main Results:
- bwimage successfully calculates parameters for canopy openness and vertical vegetation structure.
- The package effectively describes patterns in structures such as bird nests.
- Demonstrated the utility of the aggregation index for quantifying spatial patterns.
Conclusions:
- The bwimage R package offers a versatile tool for ecological image analysis.
- It enhances the quantitative description of spatial patterns in biological structures.
- Provides practical applications for field research and data interpretation.
