Giter Site home page Giter Site logo

ikding / kang-2018-spectral-inducedpolarization Goto Github PK

View Code? Open in Web Editor NEW

This project forked from simpeg-research/kang-2018-spectral-inducedpolarization

0.0 1.0 0.0 17.62 MB

Inversions of time-domain spectral induced polarization data using s1retched exponential

License: MIT License

Jupyter Notebook 95.41% Python 4.59%

kang-2018-spectral-inducedpolarization's Introduction

| Overview | Launching the notebooks | Running the notebooks | Citation | Issues | License |

Inversions of time-domain spectral induced polarization data using stretched exponential

Build Status Binder

License SimPEG DOI

Overview

This repository contains the notebooks used to generate the examples shown in "Inversions of time-domain spectral induced polarization data using stretched exponential" by Seogi Kang and Douglas W. Oldenburg. The list of the notebooks are:

Launching the notebooks

Online

The notebooks can be run online through mybinder

Locally

To run them locally, you will need to have python installed, preferably through anaconda.

You can then clone this repository. From a command line, run

git clone https://github.com/simpeg-research/kang-2018-spectral-inducedpolarization.git

Then cd into the kang-2018-spectral-inducedpolarization

cd kang-2018-spectral-inducedpolarization

To setup your software environment, we recommend you use the provided conda environment

conda env create -f environment.yml
source activate sip-environment

alternatively, you can install dependencies through pypi

pip install -r requirements.txt

You can then launch Jupyter

jupyter notebook

Jupyter will then launch in your web-browser.

Running the notebooks

Each cell of code can be run with shift + enter or you can run the entire notebook by selecting cell, Run All in the toolbar.

For more information on running Jupyter notebooks, see the Jupyter Documentation

Citation

Kang, S., & Oldenburg, D. W. (2019). Inversions of time-domain spectral induced polarization data using stretched exponential.

@article{kang2019,
author = {Kang, Seogi and Oldenburg, Douglas W},
journal = {Geophysical Journal International},
number = {},
pages = {},
title = {{Inversions of time-domain spectral induced polarization data using stretched exponential.}},
volume = {},
year = {2019}
}

Issues

If you run into problems or bugs, please let us know by creating an issue in this repository.

License

These notebooks are licensed under the MIT License which allows academic and commercial re-use and adaptation of this work.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.