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EuclDist()
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Calculate Euclidean distance between two points |
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areaPerParea()
|
Compute percent area covered by process areas |
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errMinBboxLength()
|
PCM Runout Distance Error |
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getVertices()
|
Get vertices from a polygon |
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minBBoxSpatialPolygons()
|
Minimum area bounding box for spatial polgyons |
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minbb()
|
Minimum area bounding rectangles |
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pcmGetGrid()
|
Get PCM runout distance grid search values |
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pcmGetOpt()
|
Get PCM runout distance grid search optimal parameters |
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pcmGetOpt_single()
|
Get PCM runout distance grid search optimal parameters for single event |
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pcmGridsearch()
|
Grid search optimization for PCM runout distance |
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pcmPerformance()
|
PCM runout distance performance |
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pcmPoolSPCV()
|
Pool PCM spatial cross-validation results |
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pcmSPCV()
|
Perform (repeated) spatial cross-validation of PCM optimization |
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rasterCdf()
|
Cumulative Distribution Function for Rasters |
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rasterMinMaxRescale()
|
Min-max normalization (Rescaling) |
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rasterThreshold()
|
Raster binary reclassification |
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rocParea()
|
Compute area under ROC curve for process areas |
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rotxy()
|
Rotate bounding box |
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runoutGeom()
|
Runout Geometry |
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runoutPareaPredict()
|
Runout process areas from source area prediction |
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rwGetOpt()
|
Get random walk grid search optimal parameters |
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rwGetOpt_single()
|
Get random walk runout distance grid search optimal parameters for single event |
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rwGridsearch()
|
Grid search optimization for random walk runout path |
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rwPerformance()
|
Random walk runout path performance |
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rwPoolSPCV()
|
Pool random walk spatial cross-validation results |
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rwSPCV()
|
Perform (repeated) spatial cross-validation of random walk optimization |
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spcvFoldsPoly()
|
Make spatial partitions (using k-means clustering) |