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url: https://henryspatialanalysis.github.io/mbg/
template:
bootstrap: 5
bootswatch: simplex
theme: arrow-light
math-rendering: katex
bslib:
base_font: {google: "Figtree"}
heading_font: {google: "Figtree"}
bg: '#ffffff'
fg: '#171717'
primary: '#F36E21'
secondary: '#058040'
includes:
in_header:
- '<link rel="icon" type="image/png" href="favicon-96x96.png">'
navbar:
title: mbg
structure:
left: [home, intro, vignettes]
right: [search, reference, github]
components:
home:
text: Home
href: index.html
intro:
text: Getting started
href: articles/mbg.html
vignettes:
text: More tutorials
menu:
- text: Running spatial ML models
href: articles/spatial-ml-models.html
- text: All MBG model runner options
href: articles/all-model-options.html
- text: Model validation and comparison
href: articles/model-comparison.html
reference:
- title: MBG Model Runner
desc: Model runner class
contents: has_concept("model_runner")
- title: MBG core inputs
desc: Functions to build the ID raster and load model covariates
contents: has_concept("core_inputs")
- title: MBG model fitting and prediction
desc: Individual functions for model fitting and prediction. These can also be executed
through the `MbgModelRunner` class.
contents:
- has_concept("model_fit")
- has_concept("prediction")
- title: Model validation
desc: Functions for generating predictive validity metrics. These can also be executed
through the `MbgModelRunner` class.
contents: has_concept("validation")
- title: Pixel-to-polygon aggregation
desc: Functions to aggregate rasters and pixel-level predictive draw matrices to
polygon boundaries. These can also be executed through the `MbgModelRunner` class.
contents: has_concept("aggregation")
- title: Other
desc: Miscellaneous helper functions
contents: lacks_concepts(c("model_runner", "core_inputs", "model_fit", "prediction",
"validation", "aggregation", "internal"))