Landscape Stratification

Functions for the spatial stratification of landscapes

som_gap()

Self-Organizing Map and Selection of k

som_pam()

Rasterization of Self-Organizing Map and Partitioning Around Medoids

strata()

Create Stratification Units

Landscape Correspondence Metrics

Continuous metrics to evaluate the correspondence between landscape configurations, as represented by classification/stratification units, and the geographic space.

select_functions()

Select Constrained Univariate Distribution Functions

predict_functions()

Predict Distribution Functions Across Geographic Space

signature()

Calculate the Spatial Signature of Classification Units

similarity()

Calculate the Landscape Similarity to Stratification Units

Stratified Sampling

Stratified (non-probability) sampling to select representative observations and sampling locations across geographic space.

observation()

Select the Representative Response Observation for Stratification Units

locations()

Select Representative Sampling Locations for Stratification Units

Predictive Modeling

Predictive modeling of response phenomena across geographic space based on stratification units and landscape correspondence

engine()

Predictive Modeling Engine

Miscellaneous

Other functions

dummies()

Create Dummy Layers from Categorical Raster Layers

plot3D()

Interactive Maps of 3D surfaces

figure()

Reproduce Figures from Fuentes et al. (n.d.)