Methods for Optimizing Scales of Effect
multiScaleR model selection
multiScaleR model selection
CI Function
CI Function
Identify the originating package of an S3 or S4 model object and load ...
Extract the Namespace from a Model Call
Fast Fourier Transformation
Example raster
Distance at Cumulative Kernel Proportion
Scale Distance
Kernel Scale Preparation
Kernel scaling function
Create scaled rasters
Simulated raster
Multiscale optimization
multiScaleR
Plot kernel densities
Plot Marginal Effects from a Fitted Model
Plot method for multiScaleR objects
Print method for multiScaleR_data
Print method for multiScaleR
Print method for summary_multiScaleR
Scale and Center Raster Layers Using Model Parameters
Scale Function
Scale Function
Simulate data for optimizing scales of effect with unmarked
Simulate data for optimizing scales of effect
Function to simulate raster surfaces
Summarize multiScaleR objects
A tool for optimizing scales of effect when modeling ecological processes in space. Specifically, the scale parameter of a distance-weighted kernel distribution is identified for all environmental layers included in the model. Includes functions to assist in model selection, model evaluation, efficient transformation of raster surfaces using fast Fourier transformation, and projecting models. For more details see Peterman (2025) <doi:10.21203/rs.3.rs-7246115/v1>.
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