Deploy RRASSLER over sample data | Assessing the sample data | Sample data from BLE | Sample RAS2FIM data | Step 1: Select a location | A) Internal to the package | B) As a developer using a rockerd docker setup | C) A Local path | D) Or set a cloud account and path up like so: | Step 2: Ingest sample data | Extra: How to RRASSLE other sample data | Next steps

Add overwrite protection

Making an "RRASSLE'd Catalog" | Ingest logic | The "minimal" catalog entry form | Next steps

Model Catalog | "post-processing" | 1A) If you need to pick up after a previous run make sure you set your catalog location appropriately: | A) Internal to the package | B) As a developer using a rockerd docker setup | C) A Local path | D) Or set a cloud account and path up like so: | 1) Remerge the generated catalog index | What did that make? | Extend database for ras2fim deployments

Full Data Model

Grid | Example 1: Basic Use | Define aggreation units | Exploring the data | Example 2: Definining Classes | Build a weight grid and execute intersection | Explore the data | Compare with exactextractr

Methods | So, what is a weight grid? | Option 1: Intersectr: | Option 2: Zonal | Use Cases | Grid | Example 01: Many small aggregation units | Example 02: Few, large aggregation units

Option 1: Intersectr: | Option 2: exactextract: | Option 3: zonal: | Grid | Example 1: HUC01 | Example 02: Florida Counties

Introduction | Prep Network | Algorithm Walk Through: | Step 1: Explode Linestring into edges: | Step 2: Define Edge Mid and End Point | Step 3: Define Cross Section at end Point | Define a normal edge | Define the cross sections | Cut a Full Flowline | Flow Network | Transects to 3D channel | Reach Addressing | Channel Classifiction | Channel bottom alignment and bank smoothing

The AHG relationships | Traditonal Fitting Technique | Example: | Full Fits | Continuity check | System Error

Installation | Example | Define Network | Cut cross sections | Define Cross section points | Classify Cross section points | Explore! | Time to get r nrow(transects) transects and r nrow(classified_pts) classified points ...

Hydraulic Estimation | Example data | Compute Roughness | Compute r, d, R and p | r | p, q, k | d, R | Implications | Generate Cross sections

Increasing AHG skill: | Curve Fitting Approaches | OLS | NLS | NSGA-II | Combination Approach | Packaged Functionality

Data Filtering Functions | 1. Median Absolute Deviation (mad) | 2. Temporal | 3. Q = vA Assumption | 4. NLS prediciton | Chaining Commands | Example(s) | Significance

Solver | Defining bounds | Parameterizing the model | Population & Generation | Cross over and Mutation Probability | Winner | Influence of Seed | Flexibility