SpatialModelingTutorials was developed to demonstrate function modeling, batch processing, and raster_tools functionality, along with various other coding and modelling strategies.
This collection of Notebooks is meant to demonstrate spatial modeling techniques that use parallel processing and the newly developed Raster Tools package. Most notebooks are designed to run within Google's Colab. However, they can also be used locally if Raster Tools is properly installed link.
To open a notebook within Colab, open a notebook and click on the “Open in Colab” link (top left). Once in Colab you can step through each notebook cell.
- Surface Module – A short notebook that demonstrates surface module functionality.
- General Module – A short notebook that demonstrates general module functionality.
- Distance Module – A short notebook that demonstrates distance module functionality.
- Sample Design – A short notebook that demonstrates how to make various spatially spread samples.
- Clipping Module – A short notebook that demonstrates clipping module functionality.
- Creation Module – A short notebook that demonstrates creation module functionality.
- Zonal Module – A short notebook that demonstrates zonal module functionality.
- ANF_ML – A short course notebook that demonstrates various vector, machine learning, and visualization techniques using the Raster_Tools package.
- PODs_Integration – A notebook demonstrating 21st Century Planning Techniques for Creating Fire-Resilient Forests in the American West.
- Python_Automation_ANFS – A short course notebook that demonstrates python automation strategies and basic vector processing using Raster_Tools.
- TCSI_Demo - A short demonstration of how to use ipywidgets to set values and call the delivered cost model to produce potential cost surfaces.
- Download Lidar Data - A short notebook demonstrating how to download lidar point cloud data and derived outputs from the 3Dep program.
- Process Lidar Data - A short notebook demonstrating how to process lidar point cloud data collected from the 3Dep program.
- Sample Design Lidar K-means - A short notebook demonstrating how to setup a sample design that is well spread using surfaces derived from Lidar.
- Estimating BAA With Lidar Metrics - A short notebook demonstrating how to create a random forest regression model that predicts basal area per acre from lidar based raster surfaces.