Package index • patternscaper

Package overview

patternscaper-package patternscaper: patternscaper: Classify Spatial Landscape Patterns Using Neural Networks

Landscape creation

Functions for generating artificial landscapes with different spatial patterns

create_landscape(): Create a Single Landscape
create_landscapes(): Create Multiple Landscapes

Pattern parameters

One constructor per pattern, holding that pattern’s parameters. Pass the result to create_landscape(params = …) or create_landscapes(params_list = …).

pattern_random(): Parameters for the Random Pattern
pattern_bare(): Parameters for the Bare Pattern
pattern_dense(): Parameters for the Dense Pattern
pattern_sharp(): Parameters for the Sharp Pattern
pattern_diffuse(): Parameters for the Diffuse Pattern
pattern_fingers(): Parameters for the Fingers Pattern
pattern_clustered(): Parameters for the Clustered Pattern
pattern_bands(): Parameters for the Bands Pattern
pattern_spots(): Parameters for the Spots Pattern
pattern_gaps(): Parameters for the Gaps Pattern
pattern_labyrinth(): Parameters for the Labyrinth Pattern

Landscape objects

Functions for creating and manipulating landscape objects

landscape(): Create a Landscape Object
plot(<landscape>): Plot a Landscape Object
print(<landscape>): Print a Landscape Object
set_landscape_name(): Set a Landscape Name
set_landscape_pattern(): Set a Landscape Pattern

Landscape metrics

Calculate and evaluate landscape metrics

calculate_metrics(): Calculate Landscape Metrics
evaluate_metrics(): Evaluate Landscape Metrics
print(<metrics_evaluation>): Print a metrics evaluation

Neural network training

Train neural network classifiers

train_metric_model(): Train a Multi-Layer Neural Network for Landscape Pattern Classification
train_pixel_model(): Train a Convolutional Neural Network for Landscape Pattern Classification
set_random_seed(): Set Random Seeds for Neural Network Training

Neural network application

Apply trained classifiers to new landscapes

apply_metric_model(): Apply Neural Network for Landscape Pattern Classification Based on their Landscape Metrics
apply_pixel_model(): Apply a Keras CNN Model for Landscape Pattern Classification

Model persistence

Save and reload trained classifiers

save_pixel_model(): Save a Trained Pixel Model
load_pixel_model(): Load a Trained Pixel Model

Visualization

Plot landscapes, metrics, and classification results

plot_landscapes(): Plot One or More Landscapes
plot_classified_landscapes(): Plot Neural Network Classification Landscapes
plot_metrics(): Plot Landscape Metrics