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A Gentle Introduction to b3gbi: Data Cubes to Biodiversity Indicators6 days ago
Introduction | Package Installation | Step 1: Data Ingestion with process_cube() | Key process_cube() Arguments | Example: Import Data and Filter by Time | Step 2: Indicator Calculation | Available Indicators | Core Arguments for Wrapper Functions | Example: Observed Species Richness Map | Example: Total Occurrences Time Series | Step 3: Visualization with plot() | Plotting the Map | Plotting the Time Series
Uncertainty in Biodiversity Indicators6 days ago
Introduction 🛡️ | The Two-Step Workflow | Example: Total Occurrences with Uncertainty | Bootstrapping Levels | 1. Cube-Level Bootstrapping (bootstrap_level = "cube") | 2. Indicator-Level Bootstrapping (bootstrap_level = "indicator") | Automatic Indicator Configuration | Advanced Configuration | Types of Confidence Intervals | Customizing the Bootstrap Process | Overriding Indicator Defaults | Supported Indicators | Special Case: Hill Diversity Indicators | Exclusions | Data Exploration with dubicube 🔍 | Summary
A Gentle Introduction to b3gbi: Data Cubes to Biodiversity Indicators1 months ago
Introduction | Package Installation | Step 1: Data Ingestion with process_cube() | Key process_cube() Arguments | Example: Import Data and Filter by Time | Step 2: Indicator Calculation | Available Indicators | Core Arguments for Wrapper Functions | Example: Observed Species Richness Map | Example: Total Occurrences Time Series | Step 3: Visualization with plot() | Plotting the Map | Plotting the Time Series
Uncertainty in Biodiversity Indicators1 months ago
Introduction 🛡️ | The Two-Step Workflow | Example: Total Occurrences with Uncertainty | Bootstrapping Levels | 1. Cube-Level Bootstrapping (bootstrap_level = "cube") | 2. Indicator-Level Bootstrapping (bootstrap_level = "indicator") | Automatic Indicator Configuration | Advanced Configuration | Types of Confidence Intervals | Customizing the Bootstrap Process | Overriding Indicator Defaults | Supported Indicators | Special Case: Hill Diversity Indicators | Exclusions | Data Exploration with dubicube 🔍 | Summary