Overview | The example data | The pipeline, step-by-step | Step 1: Create the barrier mask | Step 2: Remove habitat under barriers | Step 3: Buffer the habitat | Step 4: Fragment habitat along barriers | Step 5: Assign patch IDs | Step 6: Summarise patch areas | Computing connectivity metrics | Run the pipeline as a single step | Comparing multiple interpatch distances | Summary

Interpatch distance | Buffering happens on a grid | A sub-cell radius does nothing - and habitat_buffer() warns | Why it matters: the same distance, two resolutions | Choosing a resolution | What about vector (sf) data?

Rasters and vectors | Running raster and vector models on the same data | Prepare the example data | Raster approach | Vector approach | Comparing raster vs vector | Summarising connectivity metrics | Which approach should you use? | Raster approach trade-offs | Vector approach trade-offs | Converting between raster and vector | Analysis step-by-step | References

Why use targets for connectivity analysis? | A minimal _targets.R | What each section does | Running and inspecting the pipeline | Running | Inspecting results | Visualising the dependency graph | Example workflows