eRTG3D
0.7.0Empirically Informed Random Trajectory Generation in 3-D
Overview
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. https://www.geo.uzh.ch/dam/jcr:6194e41e-055c-4635-9807-53c5a54a3be7/MasterThesis_Unterfinger_2018.pdf. 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. doi:10.5167/uzh-130652.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 98%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 4%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/munterfi/ertg3d on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 25 max
- Test cases
- 20 / 0.12 per code line
Test coverage
Line coverage
90%
Expression
89.1%
Tests / Examples
90.1% / 56% ex
Functions
58 55 exported
Complexity
4.2 avg / 25 max
Call network
58 nodes / 89 edges
Call graph
Open call graph →Lowest coverage
58 functions| Function | Cyclo | Coverage |
|---|---|---|
| .is.df.xyz exp | 4 | 0% |
| .move2sf.3d exp | 2 | 0% |
| .setUpPSOCKcluster | 3 | 0% |
| .check.extent exp | 6 | 60% |
| .df2sf.3d exp | 2 | 67% |
| .matrix2sf.3d exp | 2 | 67% |
Datasets
| Name | Class | Rows × Cols | Also ships in |
|---|---|---|---|
| niclas | data.frame | 31 × 3 | – |
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.7.0Latest
- unarchivedReturned to CRAN2022-02-25
- archivedRemoved from CRAN2022-02-15check problems were not corrected in time
- 0.6.42021-10-02 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.6.32020-07-27 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.6.22019-09-19
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-09-19
- Total releases
- 4 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 624 KB / 2 files
- Download size
- 1.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet