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add first part of recipe
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dgergel committed Dec 10, 2020
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12 changes: 12 additions & 0 deletions docs/api.rst
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Expand Up @@ -48,3 +48,15 @@ Groupers
DAY_GROUPER
MONTH_GROUPER
PaddedDOYGrouper

Spatial Models
=================

Xarray Wrappers
~~~~~~~~~~~~~~~

.. autosummary::
:toctree: generated/

SpatialDisaggregator

9 changes: 9 additions & 0 deletions docs/roadmap.rst
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Expand Up @@ -59,6 +59,8 @@ Components
1. `pointwise_models`: a collection of linear models that are intended to be
applied point-by-point. These may be sklearn Pipelines or custom sklearn-like
models (e.g. BCSDTemperature).
2. `spatial_models`: a collection of spatial models where the models have spatial
dependence.
2. `global_models`: (not implemented) concept space for deep learning-based
models.
3. `metrics`: (not implemented) concept space for a benchmarking suite
Expand All @@ -82,6 +84,13 @@ Pointwise models

Other methods, like LOCA, MACA, BCCA, etc, should also be possible.

Spatial models
~~~~~~~~~~~~~~~~

This category of methods includes models that have spatial dependence.
This far only the BCSD method (see Thrasher et al., 2012) for spatial disaggregation has
been implemented (for temperature and precipitation).

Global models
~~~~~~~~~~~~~

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