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      "title": "Spatial Projection and Clamping",
      "author": "Bill Peterman",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction to Spatial Projection",
        "From fitted model to landscape map",
        "The extrapolation problem",
        "What clamping does",
        "This vignette",
        "Demonstrating Clamping Under Controlled Extrapolation",
        "Conceptual setup",
        "Step 1: Simulate a known landscape and response surface",
        "Step 2: Impose a biased sampling design",
        "Step 3: Fit the multiscale model",
        "The Extrapolation Problem",
        "Seeing extrapolation in practice",
        "Understanding and Applying Clamping",
        "How clamping works",
        "The pct_mx argument: tuning the guardrail",
        "Comparing different clamping settings",
        "Quantifying prediction error: inside vs. outside the sampled domain",
        "Key Takeaways",
        "Practical guidance"
      ],
      "created": "2026-03-26 16:13:21",
      "modified": "2026-04-10 11:37:01",
      "commits": 5
    }
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