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A Gentle Introduction to b3gbi: Data Cubes to Biodiversity Indicators7 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 Indicators7 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
Introduction to invasimapr4 months ago
Introduction | Network Invasibility Cube | Shared Trait-Environment Space | Invasion Fitness | Invasiveness and Invasibility | Overview of invasimapr workflow | Discussion and conclusion | References | Appendices | Expanded formula and links to model components | Trait-conditioned environmental suitability $r^{(z)}_{is}$ | Trait-space crowding $C^{(z)}_{is}$ | Performance-weighted resident filtering $S^{(z)}_{is}$ | Trait-dependent slopes $\gamma_i, \alpha_i, \beta_i$ | Predictive distribution | Glossary (objects and equation components)
Get started with dissmapr4 months ago
Installation | A minimal, reproducible workflow
Background7 months ago
Introduction | Method | Ocurrences data | Impact data | Transforming EICAT impact categories to numerical values | Species impact indicator | Site impact indicator | Regional impact indicator
Checklist functions9 months ago
Load data | Time of introduction | Number of introductions per year | Cumulative number of alien species | Native range | Pathways of introduction | Pathway data | Visualize pathways at level 1 | Visualize pathways over time at level 1 | Visualize pathways at level 2 | Visualize pathways over time at level 2 | Pathway count table | Additional resources
Occurrence functions9 months ago
Introduction | Decision rules approach | Example data | Apply decision rules | Understanding the results | GAM approach | Apply GAM | Understanding GAM results | Correcting for research effort | Choosing between approaches | Additional resources