bwimage

bwimage analyzes black-and-white images in R to quantify spatial patterns of natural structures for ecological and biological research.

Key Features:

• R implementation: Implemented as an R package providing functions for analysis of binary (black-and-white) images.
• Pattern analysis functions: Implements established functions documented in the literature to describe intricate spatial patterns in images.
• Aggregation index: Introduces an aggregation index metric to quantify spatial clustering and density within binary images.
• Vegetation and canopy metrics: Calculates canopy openness and descriptors of vertical vegetation structure from binary images.
• Nest architecture analysis: Provides measures applicable to analysis of bird nest structures from black-and-white images.
• Image acquisition guidance: Emphasizes and provides guidance on producing high-quality digital images for accurate binary image analysis.

Scientific Applications:

• Ecological research: Enables quantification of canopy openness and vertical vegetation structure for studies of forest dynamics and plant ecology.
• Ornithology: Supports analysis of bird nest architecture to study nesting behavior and habitat preferences.
• Pattern quantification in natural structures: Facilitates description and comparison of spatial patterns in various natural objects using binary image metrics.

Methodology:

Implements established pattern-analysis functions in R applied to binary (black-and-white) images and computes metrics including the aggregation index.