Other packages > Find by keyword >

eRTG3D  

Empirically Informed Random Trajectory Generation in 3-D
View on CRAN: Click here


Download and install eRTG3D package within the R console
Install from CRAN:
install.packages("eRTG3D")

Install from Github:
library("remotes")
install_github("cran/eRTG3D")

Install by package version:
library("remotes")
install_version("eRTG3D", "0.7.0")



Attach the package and use:
library("eRTG3D")
Maintained by
Merlin Unterfinger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-19
Latest Update: 2022-02-25
Description:
Creates realistic random trajectories in a 3-D space between two given fix points, so-called conditional empirical random walks (CERWs). The trajectory generation is based on empirical distribution functions extracted from observed trajectories (training data) and thus reflects the geometrical movement characteristics of the mover. A digital elevation model (DEM), representing the Earth's surface, and a background layer of probabilities (e.g. food sources, uplift potential, waterbodies, etc.) can be used to influence the trajectories. Unterfinger M (2018). "3-D Trajectory Simulation in Movement Ecology: Conditional Empirical Random Walk". Master's thesis, University of Zurich. . Technitis G, Weibel R, Kranstauber B, Safi K (2016). "An algorithm for empirically informed random trajectory generation between two endpoints". GIScience 2016: Ninth International Conference on Geographic Information Science, 9, online. .
How to cite:
Merlin Unterfinger (2019). eRTG3D: Empirically Informed Random Trajectory Generation in 3-D. R package version 0.7.0, https://cran.r-project.org/web/packages/eRTG3D. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.6.2 (2019-09-19 18:20), 0.6.3 (2020-07-27 01:10), 0.6.4 (2021-10-02 17:10)
Other packages that cited eRTG3D R package
View eRTG3D citation profile
Other R packages that eRTG3D depends, imports, suggests or enhances
Complete documentation for eRTG3D
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

mbmixture  
Microbiome Mixture Analysis
Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
listcompr  
List Comprehension for R
Syntactic shortcuts for creating synthetic lists, vectors, data frames, and matrices using list com ...
Download / Learn more Package Citations See dependency  
bndovb  
Bounding Omitted Variable Bias Using Auxiliary Data
Functions to implement a Hwang(2021) estimator, which bounds an omitted v ...
Download / Learn more Package Citations See dependency  
CPNCoverageAnalysis  
Conceptual Properties Norming Studies as Parameter Estimation
Implementation of conceptual properties norming studies, including estimates of CPNs parameters with ...
Download / Learn more Package Citations See dependency  
cptcity  
'cpt-city' Colour Gradients
Incorporates colour gradients from the 'cpt-city' web archive available at ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA