Continuous-Time Movement Modeling
Calculate an autocorrelated kernel density estimate
Import, coerce, summarize, and combine MoveBank data
Calculate the optimal bandwidth matrix of movement data
Clustering of movement-model parameters
Color telemetry objects by time
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Continuous-time movement modeling
Parametric bootstrap continuous-time movement models
Specify, fit, and select continuous-time movement models
Estimate the proximity of two individuals
Calculate the square distance between two distributions or location es...
Functions for diagnosing sampling schedules
Draw a random model-fit from the sampling distribution
Encounter statistics
Export ctmm data formats
Extent
Calculate a range distribution estimate
Compare empirical and theoretical intensity (resource-selection) funct...
Log transformation of parameter estimates and their uncertainties
Average movement models and autocorrelated kernel density estimates
Compute a number-weighted average of variogram objects
Meta-analysis of movement-model parameters
Calculate a non-parametric regression surface
Calculate a Kriged occurrence distribution estimate
Minimize a function
Methods to facilitate outlier detection.
Calculate the overlap between two stationary distributions
Calculate the Lomb-Scargle periodogram of animal-tracking data
Plotting methods for telemetry objects
Plotting methods for variogram objects.
Projection
Calculate model fit residuals and assess their autocorrelation
Calculate an revisitation distribution estimate
Fit integrated resource selection functions (iRSFs) with autocorrelati...
Fit species distribution models (SDMs) [IN DEVELOPMENT]
Spatial selection methods for telemetry objects.
Scientific formatting of numbers
Predict or simulate from a continuous-time movement model
Estimate the average speed of a tracked animal
Summarize a continuous-time movement model
Summarize a range distribution
Estimate RMS UERE from calibration data
Convert dimensionful quantities to and from SI units
Visually fit a movement model to a variogram
Calculate an empirical variogram from movement data
Video record animated telemetry objects.
Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process movement models to animal tracking data. The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced and detailed in Fleming & Calabrese et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>, Fleming et al (2019) <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019) <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020) <doi:10.1101/2020.06.12.130195>, Noonan et al (2021) <doi:10.1111/2041-210X.13597>, Fleming et al (2022) <doi:10.1111/2041-210X.13815>, Silva et al (2022) <doi:10.1111/2041-210X.13786>, Alston & Fleming et al (2023) <doi:10.1111/2041-210X.14025>.