InVEST Calibration Assistant
============================

.. tags:: Workflow, calibration, AWY, SWY, NDR, SDR

|
| **Source Code:** https://github.com/N4W-Facility/Invest_Plugin_Calibration.git
| **Current Version:** 1.0.0
| **Last Updated:** 2026-06-17T20:29:20Z
| **License**: MIT
| **Authors:** Jonathan Nogales Pimentel (jonathan.nogales@tnc.org); Carlos A. Rogéliz Prada (carlos.rogeliz@tnc.org); Miguel Angel Cañon (miguel.canon@tnc.org)
|
| `Documentation <https://github.com/N4W-Facility/Invest_Plugin_Calibration/blob/main/README.md>`_ :octicon:`link-external` | `Issue Tracker <https://github.com/N4W-Facility/Invest_Plugin_Calibration/issues>`_ :octicon:`link-external`

.. admonition:: Install this plugin in the InVEST Workbench

    Copy the link below and paste it into the InVEST Workbench "Manage Plugins"
    modal, under "Git URL." In the "Branch, tag, or commit" box, enter:
    **1.0.0**

    .. code::

        https://github.com/N4W-Facility/Invest_Plugin_Calibration.git


About
-----

Automated calibration of InVEST hydrological models (AWY, SWY, SDR, NDR). Given observed field measurements and parameter search ranges, the plugin iteratively runs the selected model, evaluates goodness-of-fit, and finds the best-fitting parameters — all from within the InVEST Workbench UI.


Dependencies
------------

This plugin will pull these dependencies from PyPI::

    taskgraph
    spotpy>=1.6.2
    pandas>=2.0.0
    numpy>=1.24.0
    rasterstats>=0.19.0
    matplotlib>=3.7.0
    openpyxl>=3.1.0
    simpledbf>=0.2.6

And these dependencies will be pulled from conda-forge::

    python>=3.11
    gdal>=3.11
    geotiff>=1.7.3
    pygeoprocessing
    natcap.invest>=3.15.0
    geopandas>=0.14.0
    pyogrio>=0.7.0
    rasterio>=1.3.0