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AICEuler()
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Akaike Information Criterion for Langevin movement model
under Euler discretization |
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bilinearGrad()
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Gradient for bilinear interpolation |
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bilinearGradArray()
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Apply bilinearGrad to matrix of locations |
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coef(<rhabit>)
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Extract the coefficients associated with the covariates in a rhabit model |
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covGradAtLocs()
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Gradient of covariate field |
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covariates
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This is the description of the data included in package Rhabit. |
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fit_langevin_ud()
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Obtaining UD estimate of an animal using Langevin movement model |
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getUD()
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Obtaining the classical RSF UD |
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gradLogUD()
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Gradient of the log of the utilisation distribution |
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gridCell()
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Extract covariate grid cell |
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interpCov()
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Interpolate 2D covariate |
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langevinUD()
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Obtaining UD estimate of an animal using Langevin movement model |
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logRSFinterp()
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Evaluate the log-RSF based on interpolated covariates
(used in simMALA) |
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plotCovariates()
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Plotting the classical RSF UD |
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plotRaster()
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Plot raster with ggplot |
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plotUD()
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Plotting the classical RSF UD |
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print(<rhabit>)
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Print the formula used to specify the model and the estimated coefficients |
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rasterToDataFrame()
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Transform (x,y,z) list to data.frame |
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rasterToRhabit()
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Raster to Rhabit |
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rhabitToRaster()
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Rhabit to raster |
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simLangevinMM()
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Simulate from the Langevin movement model |
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simMALA()
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Simulate from Metropolis-adjusted Langevin algorithm |
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simSpatialCov()
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Simulate random covariate field |
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speed_coef()
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Show the estimated speed of the Langevin model |
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summary(<rhabit>)
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Obtaining the summary of a fitted Langevin movement model |
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tracks
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tracks is a set of simulated tracks based on a Langevin model with two covariates, simulated for the RLangevin_MM vignette. The code is also available in the vignette. |