vdc-space-time-feats
Software documentation for: Vector data cubes for features evolving in space and time
Science Score: 67.0%
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
Found 7 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.9%) to scientific vocabulary
Keywords
Repository
Software documentation for: Vector data cubes for features evolving in space and time
Basic Info
- Host: GitHub
- Owner: loreabad6
- License: gpl-3.0
- Language: HTML
- Default Branch: main
- Homepage: https://loreabad6.github.io/vdc-space-time-feats/
- Size: 170 MB
Statistics
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Code and data for "Vector data cubes for features evolving in space and time"
Short paper at AGILE 2024:
Abad, L., Sudmanns, M., and Hölbling, D.: Vector data cubes for features evolving in space and time, AGILE GIScience Ser., 5, 16, https://doi.org/10.5194/agile-giss-5-16-2024, 2024.
Software documentation:
Reproduce manuscript figures
The directory /code contains a Quarto file manuscript-figures.qmd to recreate the figures from the manuscript.
The data for the figures comes from Zenodo and is downloaded with the code above.
This file has been rendered to a Quarto output (manuscript-figures.html) or manuscript-figures.md to easily explore the rendered code.
VDC showcase notebook
The directory /notebook contains a computational notebook written in Quarto vdc-showcase.qmd that documents the creation of vector data cubes (VDC) for features that evolve in space and time, namely, lava flows and landslides, as presented in the manuscript. The notebook contains further examples of the usage of VDCs, beyond the ones included in the manuscript. See vdc-showcase.html or vdc-showcase.md for a rendered version.
At the end of both files, the output of sessioninfo::sessioninfo() is included to document set-up information such as software and packages used.
Manuscript
Presentation
Data sources:
Hölbling, Daniel, Lorena Abad, Zahra Dabiri, Prasicek, and Anne-Laure Argentin. 2024. “Butangbunasi Landslide and Landslide-Dammed Lake Outlines Based on Landsat Time Series with Respect to Typhoons.” Zenodo. https://doi.org/10.5281/zenodo.10635102.
Pedersen, Gro B. M., Joaquin M. C. Belart, Birgir Vilhelm Óskarsson, Magnús Tumi Gudmundsson, Nils Gies, Thórdís Högnadóttir, Ásta Rut Hjartardóttir, et al. 2023. “Digital Elevation Models, Orthoimages and Lava Outlines of the 2021 Fagradalsfjall Eruption: Results from Near Real-Time Photogrammetric Monitoring.” Zenodo. https://doi.org/10.5281/zenodo.7866738.
Owner
- Name: Lorena Abad Crespo
- Login: loreabad6
- Kind: user
- Location: Salzburg, Austria
- Company: University of Salzburg
- Website: http://loreabad6.github.io
- Repositories: 55
- Profile: https://github.com/loreabad6
Researcher - MSc. Geospatial Technologies - Environmental Engineer / Remote Sensing for the Environment - Spatial Analyses - R Programming - Statistics
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Code and data for "Vector data cubes for features evolving
in space and time" at AGILE 2024
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Lorena
family-names: Abad Crespo
email: lorena.abad@plus.ac.at
affiliation: University of Salzburg
orcid: 'https://orcid.org/0000-0003-0554-734X'
identifiers:
- type: doi
value: 10.5281/zenodo.11612296
description: Zenodo
repository-code: 'https://github.com/loreabad6/vdc-space-time-feats'
url: 'https://loreabad6.github.io/vdc-space-time-feats/'
abstract: >-
Reproducibility repo for the short paper "Vector data
cubes for features evolving in space and time" presented
at AGILE 2024.
keywords:
- vector data cube
- spatio-temporal anaysis
- R
license: GPL-3.0
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: 1 minute
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: 1 minute
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- edzer (1)