pointprocesstools.jl-notebooks

Notebooks implementing methods from the PointProcessTools.jl package

https://github.com/josekling/pointprocesstools.jl-notebooks

Science Score: 57.0%

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 2 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

Repository

Notebooks implementing methods from the PointProcessTools.jl package

Basic Info
  • Host: GitHub
  • Owner: JoseKling
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Size: 113 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

DOI: https://doi.org/10.3289/SW42024

Eruption rate analysis

This repository contains Pluto notebooks for users to run the most important procedures implemented in PointProcessTools.jl with a simple GUI.

Author

José Carlos Fontanesi Kling

Installation

  1. Install Julia

    Follow the instructions from the JuliaLang site.

  2. Download all the files

    i. With git

    Clone this repository. In the terminal, type bash cd path/to/download git clone https://github.com/JoseKling/PointProcessTools.jl-Notebooks.git

    ii. Manually

    Click the green 'Code' button at the top of this page and 'Download ZIP'. Unpack the .zip file in the desired folder.

Usage

  1. Navigate to the folder with the files and, from the terminal, run bash julia start.jl

  2. Open your browser and type the address 'localhost:8080'.

  3. When you are done, close the browser and type ctrl-c to stop the process in the terminal.

Note 1: The first time you run it should take some time to download and precompile all the packages. It will be faster the next times.

Note 2: The notebooks are automatically updated when some change is made to this GitHub repository. If you don't want that, you can replace the line julia PlutoSliderServer.run_git_directory("./"); with julia PlutoSliderServer.run_directory("./"); in the file start.jl.

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: PointProcessTools.jl
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: José
    family-names: Kling
    email: jkling@geomar.de
    affiliation: GEOMAR Helmholtz Centre for Ocean Research Kiel
    orcid: 'https://orcid.org/0000-0002-7783-8114'
  - family-names: Vetter
    given-names: Mathias
    email: vetter@math.uni-kiel.de
    affiliation: Christian-Albrechts-Universität zu Kiel
    orcid: 'https://orcid.org/0000-0002-8182-3193'
  - orcid: 'https://orcid.org/0000-0001-5865-3272'
    affiliation: GEOMAR Helmholtz Centre for Ocean Research Kiel
    given-names: Julie Christin
    family-names: Schindlbeck-Belo
    email: jbelo@geomar.de
  - orcid: 'https://orcid.org/0000-0001-6307-8428'
    given-names: Marion
    family-names: Jegen
    email: mjegen@geomar.de
    affiliation: GEOMAR Helmholtz Centre for Ocean Research Kiel
  - orcid: 'https://orcid.org/0000-0002-0645-3399'
    given-names: ' Steffen'
    family-names: Kutterolf
    email: skutterolf@geomar.de
    affiliation: GEOMAR Helmholtz Centre for Ocean Research Kiel
identifiers:
  - type: doi
    value: 10.3289/SW_4_2024
repository-code: 'https://git.geomar.de/open-source/pointprocesstools.jl'
abstract: >-
    This julia package implements various tools for working with simple,
    non-marked, one dimensional point processes. In special it implements a
    bootstrap-based goodness-of-fit test for parametric models.
license: MIT
date-released: '2024-05-24'

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