LDSim Subbasin

Published by
Dr. Kevin McGarrigal
Last updated on
March 6, 2025

About

/subbasinResults.zip

  • zone.tif = geotiff raster depicting zones (unique combinations of Subbasins and biophysical class (BPC); used as the landscape partition for quantifying Subbasin-level results
  • /zone.shp = shapefile (multipolygons) format of above and for the purpose defined above
  • /departure_zone.shp = shapefile (multipolygons) depicting zones (as defined above) and for the purpose defined above; including fields with values for each of the departure metrics
  • Various *.csv join files (see Yuba_SubbasinResults_readme & dataDictionary)
  • Readme - /Yuba_SubbasinResults_readme.txt
  • Data dictionary -/ Yuba_SubbasinResults_dataDictionary.txt

The dataset available for download below corresponds to the findings presented in the publication, " which details the methodology, analysis, and key insights.

For a deeper dive, access the full publication HERE, or read a summary on Vibrant Planet's blog.

Selected Data Tiles: 

Download

LDSim Subbasin

LDSim's Subbasin data layer analyzes vegetation patterns and ecological departures at larger scales (~15,000 acres) to guide broad-scale restoration projects.

26.6
GB

Direct Download (Full File) - HTTPS Link

Use this link to download the entire file directly to your local storage through the browser. This method is ideal for quick and easy access but requires sufficient local storage and bandwidth for the full download.

What’s inside

Direct Access

Get hands-on access to this dataset using interactive notebooks. Choose between the Google Colab notebook for quick exploration in your browser or access the hosted Jupyter Notebooks via Binder or GitHub for more advanced workflows.

Direct access to the Google Collab notebook

Open and explore instantly

Click the button to the left to launch an interactive notebook directly in your browser. This pre-configured Colab notebook provides a quick and easy way to explore, visualize, and analyze the data—no setup required.

GitHub hosted Jupyter Notebooks

Flexible access for advanced workflows

Access the full collection of Jupyter Notebooks hosted on GitHub. These notebooks can be used on your local machine or via cloud platforms like Binder or Google Colaboratory, providing flexibility for more advanced customizations.