Introduction | Setup | Grid Selection | gSSURGO | gNATSGO | Raster Soil Survey | STATSGO | Thematic Mapping | Caveats / Limitations | Web Coverage Service Requests Using Bounding Boxes | Manual Creation of Bounding Boxes | Map Unit Key Grids | SSURGO Polygons from SDA | Grid Resolution Specification | Raster Soil Survey Data | Hawaii SSURGO | Puerto Rico SSURGO | Map Unit Aggregate Values | Interpretations for Soil Suitability / Limitation | Component-level Properties | Several Horizon-level Soil Properties | Sand, Silt, and Clay at a Soil Survey Area Boundary

Introduction | Processing Point Data | Processing Continuously Varying Raster Data | Creating a Raster Stack from Sample Data | Running Rosetta on Raster Data | Scaling to Large Datasets | Parallel Processing with Multiple Cores | Key Parameters for Scaling | Batch Processing Workflows | Advanced Options | Controlling Parameter Estimation Scale | Bootstrap Ensemble | Summary

Animated Plots | Tabular data

Introduction to Soil Data Access (SDA) | What is SDA? | SSURGO and STATSGO2 Data | When to Use SDA vs. Local SSURGO | Package Requirements | Basic SDA_query() Function | Core Syntax | Handling Errors | Understanding SDA SQL | Basic Table Joins | Understanding LEFT JOIN vs INNER JOIN | When Data are Complete: INNER JOIN | When Data May Be Missing: LEFT JOIN | Summary: When to Use Each Join Type | Aggregation Functions | Data Filters | Filtering SSURGO vs. STATSGO2 | Filtering Horizon Data | Filtering Strategy | Soil Materials | Rock Fragment Data | Basic Rock Fragment Query | Aggregating Rock Fragments by Horizon | Rock Fragment Properties via get_SDA_property() | SDA Query Limits and Strategies | SDA Query Limitations | Strategies for Large Queries | SQL Dialect Handling | T-SQL Syntax Specifics | NULL Handling | Type Casting | String Operations | Query Chunking for Large Datasets | Why "Chunking"? | Using makeChunks() | Example Chunked Property Query | Recommended Chunk Sizes | Spatial Queries | Converting sf Objects to WKT | High-level Functions | Spatial Queries: The Two-Step Pattern | SDA Spatial Helper Functions | Spatial and Tabular Property Integration | get_SDA_property(): Component and Horizon Properties | Available Properties | Method: Dominant Component (Category) | Method: Dominant Component (Numeric) | Method: Weighted Average | Method: Min/Max | Method: Dominant Condition | Method: None | Inspecting Generated Queries | get_SDA_interpretation(): Soil Interpretations | Available Interpretations | Method: Dominant Component | Understanding Output Columns | get_SDA_hydric(): Hydric Soil Classifications | Method: MAPUNIT (Default) | Method: DOMINANT COMPONENT | Method: DOMINANT CONDITION | Method: NONE | get_SDA_muaggatt(): Map Unit Aggregate Attributes | Filtering Results | get_SDA_pmgroupname(): Parent Material Groups | Simplify Parameter | get_SDA_coecoclass(): Component Ecological Classes | Method: NONE (Default) | Method: ALL | get_SDA_cosurfmorph(): Component Surface Morphometry | Available Tables | Example: 3D Geomorphic Classification | Example: Hillslope Position by Area | Example: Surface Shape | Example: Microrelief | fetchSDA(): Get Soil Profile Collection | Basic Usage | Handling Duplicates | fetchLDM(): Get Laboratory Data | Querying by Taxon Name | Advanced Usage: Specific Tables | Integration Examples: Combining Multiple Functions | Example 1: Multi-Method Property Comparison | Example 2: Properties and Interpretations for Land Use Planning | Example 3: Hydric Status and Interpretations | Example 4: Aggregating Across Multiple Areas | Example 5: Component-Level Analysis | Summary and Best Practices | Key Takeaways | Recommended Workflow | SDA Resources | Appendix: Common SDA Tables and Columns | Core Tables | Common Columns

Determine Target Region | Access Images by ID | Download SRTM Topographic Diversity product | Create a local Hillshade from DEM | Working with Image Collections | Composite LiDAR DEM | Downloading individual images in a collection

Overview | Remote vs. Local Access | Download SSURGO Data | Create a Local SSURGO Database | Load and Explore the Database | View Table Structure | Basic Queries | Join Tables | Load Spatial Data | Visualizing Soil Properties | Load Tabular Data | Example 1: Dominant Component Percentage (comppct_r) | Example 2: Hydrologic Group (hydgrp) and Drainage Class (drainagecl) | Thematic Maps | Query and Aggregation Functions | Alternative Tools

Summary | Primary Data Sources | soilDB Functions | Functions with Questionable Future | Related Web Applications | Relevant Tutorials | SoilWeb Curated Data Sources | SC and OSD Derivatives | SSURGO Derivatives | MLRA | Geomorphic Summaries | Siblings | Other | Parent Material Summaries | Series and Taxa Extent | Web Coverage Services | Climate Data and Derivatives | Frost-Free Period | Frost-Free Days | Design Freeze Index | Growing Degree Days (C) | Effective Precipitation | Fraction of Precipitation as Rain | DEM Derivatives | Geomorphons

Working with Tiles | The Parallel Ecosystem | Two Layers of Parallelism | Scaling Up: From a Laptop to a Cluster | Scenario 1: Sequential Processing (No Parallelism) | Scenario 2: Local Multicore Processing | Scenario 3: Distributed Cluster Processing | The geomorphons() Call Stays the Same | Demo with salton | Important Notes | Beyond Parallelism: The Flexibility of LAPPLY.FUN

Overview | Getting Started: Creating a Virtual Environment | Using reticulate to Create a Venv | Detecting Available Python Versions | Installing GDAL via rgeowheels | Basic Installation (Auto-Detect Python Version) | Suppressing the Auto-Detect Message | Explicit Version Specification | Check Available Versions | Complete Workflow Example: CI/CD Integration with Reticulate | Troubleshooting | "Could not find wheels for..." Error | Python Binary Not Found | Setting Custom Python Path | CI/CD Integration Examples | GitHub Actions Workflow | Performance Benefits | Summary

Overview | Prerequisites | Load SSURGO Spatial Data | Using Soil Data Access | Option 1: Use SDA_spatialQuery() to get mukey polygons for an AOI | Option 2: Use fetchSDA_spatial() | fetchSDA_spatial() geometry sources | SDA_spatialQuery() vs. fetchSDA_spatial() | Local Data Sources | Query SDA for Dominant Ecological Site Info | Extract Unique Map Unit Keys | Use get_SDA_coecoclass() | Using method="dominant component" | Using method="dominant condition" | Join Tabular and Spatial Data | Visualize the Result | Export Spatial File | References | SSURGO Data and Tools | soilDB functions | Spatial Analysis in R

Background | What is a GeoPackage? | Create a Geopackage | Insert Vector Layers | Insert Attribute Table | Read a GeoPackage | Inspect Contents of GeoPackage | Lazy Data Access | Method 1: gpkg_table_pragma() | Method 2: gpkg_vect() and gpkg_query() | Method 3: gpkg_rast() | Method 4: gpkg_table() | Managing Connections

Introduction | Setup | How whitebox works | Interfacing with R spatial packages | Working with Raster Data | WhiteboxTools R setup | Installing WhiteboxTools | Package Settings with wbt_init() | exe_path argument | wd argument | verbose argument | Long-term Package Option Settings | Running tools | Example: Compare input v.s. output with terra | Run wbt_breach_depressions() (BreachDepressions tool) | Visualize results with terra | Example: Identifying Tributaries | wbt_breach_depressions() -- Breach DEM Depressions | wbt_d8_pointer() -- Calculate Flow Direction | wbt_d8_flow_accumulation() -- Flow Accumulation | Additional Flow Direction and Accumulation Tools | wbt_extract_streams() -- Extract Stream Network | wbt_tributary_identifier() -- Identify Tributaries | Compare results | Appendix: wbt_* utility functions | wbt_help() | wbt_license() | wbt_version() | wbt_list_tools() | wbt_tool_help() | wbt_toolbox() | wbt_tool_parameters() | wbt_view_code()

Setup | Run simulations | Results | Temperature Regimes | Moisture Regimes | Moisture Regime Subdivision 1 | Moisture Regime Subdivision 2 | Taxonomic Quantities | PRISM Data for Custom Extent | Other Data Sources

Run the BASIC simulation model | Run single model from file or R object | Access references to Java objects containing results | Moisture and temperature regime statistics | Moisture calendar | Temperature calendar | Support for Newhall XML format for input and output | XML File Output | Graphical User Interface for individual runs via newhall-1.6.1.jar | Detaching the Package

wbt() | Getting Started | Result Objects | wbt_result class | wbt_result on error | Vignette Topics | Input and Output with R spatial objects | Compare raster and terra as R raster object frontends | wbt_source(): rasters in memory, and vector data | Running Sequences of Tools | Using pipes | Coordinate Reference Systems (CRS) | Setting the CRS

What version of WhiteboxTools are these data sets generated from? | WhiteboxTools Tool Names and R Function Names | WhiteboxTools Tool and Parameter Names | Example: Finding Tools by Parameter Type | Appendix: Tables of Function Names by Toolbox

parse_family() | ST_family_classes

taxon_to_taxon_code() | taxon_code_to_taxon() | taxon_to_level() | getTaxonAtLevel() | getParentTaxa() | decompose_taxon_code() | preceding_taxon_codes() and relative_taxon_code_position()