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 22 Dec. 2024.
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

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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