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multiobjectoptimizationcableyarding

This project builds a digital twin of a forest to optimize cable road layouts in timber extraction on steep terrain. The simulation and subseqeuent optimization process computes realistic cable roads with cost-efficient supports while minimizing environmental impact. Code and visualization are provided for data processing and implementation.

https://github.com/werzum/multiobjectoptimizationcableyarding

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords

forestry optimization
Last synced: 6 months ago · JSON representation ·

Repository

This project builds a digital twin of a forest to optimize cable road layouts in timber extraction on steep terrain. The simulation and subseqeuent optimization process computes realistic cable roads with cost-efficient supports while minimizing environmental impact. Code and visualization are provided for data processing and implementation.

Basic Info
  • Host: GitHub
  • Owner: werzum
  • Language: HTML
  • Default Branch: main
  • Homepage:
  • Size: 171 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
forestry optimization
Created over 3 years ago · Last pushed 9 months ago
Metadata Files
Readme Citation

README.md

Optimization of Cable-Road Layouts in Smart Forestry

Overview

This repository contains the code and data for the dissertation titled Optimization of Cable-Road Layouts in Smart Forestry. The work focuses on the development and implementation of multi-objective optimization techniques applied to cable-road layout planning, integrating high-precision geospatial data and machine learning-based methods. The repository is structured into three main components:

1. Main Code (src/main)

The core logic of the optimization algorithms, including the implementation of genetic algorithms, forest data processing, and simulation tools. This is where the primary models and computations reside.

2. Jupyter Notebooks (01_Notebooks)

A collection of Jupyter notebooks that document the processes, including data preprocessing, algorithm explanations, and visualizations. These notebooks offer an interactive way to explore the methodologies and visualize the results of the optimization and simulation processes.

3. Data and Outputs

The repository also contains datasets and model outputs generated during the optimization and simulation experiments, allowing for reproducibility and further analysis.

How to Use

  • Clone the repository and navigate to the src/main folder to execute the core code.
    • Note that the underlying forest maps are not included - write me a message if you want to use this data for research.
  • For exploration and visualization of the data and processes, open and run the notebooks in 01_Notebooks.
  • Adjust data inputs or parameters in the code for customized experimentation.

Owner

  • Name: Carl Orge Retzlaff
  • Login: werzum
  • Kind: user
  • Location: Berlin
  • Company: DAI Labor

PhD. student at DAI Labor at TU Berlin with an M.Sc.@RWTH Aachen

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Retzlaff
    given-names: Carl Orge
    orcid: https://orcid.org/0000-0002-0139-2590
title: "Multi-Objective Optimization of Cable Roads"
version: 1.0
# doi: 10.5281/zenodo.1234
date-released: 2023-04-11

GitHub Events

Total
  • Push event: 6
Last Year
  • Push event: 6

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 270
  • Total Committers: 2
  • Avg Commits per committer: 135.0
  • Development Distribution Score (DDS): 0.348
Past Year
  • Commits: 179
  • Committers: 2
  • Avg Commits per committer: 89.5
  • Development Distribution Score (DDS): 0.017
Top Committers
Name Email Commits
Carlo c****o@p****n 176
Carl Orge Retzlaff e****g@w****e 94
Committer Domains (Top 20 + Academic)
pop-os.localdomain: 1

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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