What is Google Classroom?

Google Classroom represents an organized framework to store documents, videos, forms, reports, charts, etc. for the purpose of teaching various concepts. Check out these links and YouTube channel to get quick idea of what is possible. 

Building Virtual Classes Workshop

If you ever wanted to know how to build a virtual class check out this Google Class and YouTube Channel (free). A 1/2 day workshop on virtual lectures, assignments, and developing statistics and dashboards about your class.

How To Build Digital Lessons

Check out this starter to creating a digital lesson. Creating a digital lesson is one of the first steps to creating a digital class.

RMRS Raster Utility & Function Modeling

Check out the RMRS Raster Utility project and the concepts behind function modeling. In this introductory video we will introduce the RMRS Raster Utility project and discuss some basic ideas behind our modeling approach.

RMRS Raster Utility Tools

In this short set of videos you will learn how to use multiple spatial, statistical, and machine learning  tools within the RMRS Raster Utility Toolbar. Check out the RMRS Raster Utility Channel on YouTube.

Delivered Cost Model Workshop

In this 1/2 day short course you learn about the RMRS Raster Utility toolbar, batch processing, and a novel delivered cost model. For those interested in simply watching the lectures, check out Economics and Social Well-being YouTube Channel. If you want to to learn more take the free Google Class. 

Batch Processing: Estimating Culvert Worth

In this tutorial you will learn about batch processing and how you can use batch processing to estimate the worth of culverts given topographic positioning.

Spatial Modeling: Gopher Tortoise Habitat

In this tutorial you will use various spatial datasets, the RMRS Raster Utility, and batch processing to identify gopher tortoise habitat.

RMRS Raster Utility: Predictive Modeling

In this tutorial you will use various spatial datasets and the RMRS Raster Utility to create a sample design, predictor variables, predictive models, and learn how to evaluate those models.

RMRS Raster Utility: Classification

In this tutorial you will use various spatial datasets and the RMRS Raster Utility to work through and evaluate a classification project. 

RMRS Raster Utility: Estimating BAA

In this tutorial you will use various point, raster datasets, remotely sensed data, and the RMRS Raster Utility to estimate Basal Area Per Acre (BAA) at the pixel level. 

RMRS Raster Utility: Prioritizing RCW Habitat

In this tutorial you will use various spatial datasets, the RMRS Raster Utility, and batch processing to identify red-cockaded woodpecker (RCW) habitat in the southeastern US. 

Automating Your Workflow: Creating Shape Metrics

Building Python Libraries

Python Modules: Trail Camera

Automating Your Workflow: Trail Camera

Rumple Index: Using Dask and Numba

21st Century Planning Notebook

Machine Learning & Spatial 

Delivered Cost Model

Python Automation Short Course

Getting REST Data 

Getting STAC data

Fort Stewart Sample Design

Getting Started With R in Google's Colab

Ensemble Generalized Additive Models (EGAM)