scientimate 1.1.2

Earth-Science Data Analysis Library

ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation.

Name:

ScientiMate

Description:

Earth-Science Data Analysis Library

Version:

1.1

Requirements:

MATLAB, or GNU Octave, or Python (3 or later)

Developer:

Arash Karimpour (http://www.arashkarimpour.com)

Documentation:

https://scientimate.readthedocs.io

Tutorial Video:

YouTube Playlist

Source Code:

https://github.com/akarimp/scientimate

Report Issues:

https://github.com/akarimp/scientimate/issues

Installation (MATLAB Version)

To use MATLAB version of ScientiMate library:

• Install MATLAB or GNU Octave

• Download ScientiMate:

  • Version 1.1 (GitHub): https://github.com/akarimp/ScientiMate/releases/download/1.1/scientimate.zip

• Unzip ScientiMate in any location you choose such as “C:"

• Open MATLAB or GNU Octave

• Add ScientiMate folder to MATLAB or GNU Octave path

Add ScientiMate folder to MATLAB or GNU Octave path using add_scientimate_to_path.m

• Open MATLAB or GNU Octave

• Change a current folder (working directory) to a folder that contains ScientiMate files, for example “C:\scientimate”, in MATLAB or GNU Octave.

• Run a file named add_scientimate_to_path.m in MATLAB or GNU Octave to add ScientiMate folder to MATLAB or GNU Octave path.

Installation (Python Version)

To use ScientiMate package:

• Install Python

• Install ScientiMate

1) Install Python

First, we need to install Python programming language.

• Method 1:

  Install pure Python from https://www.python.org and then use the pip command to install required packages

• Method 2 (Recommended):

  Install Anaconda Python distribution from https://www.anaconda.com and then use the conda command to install required packages

2) Install ScientiMate

After Python is installed, we need to install ScientiMate package.

To install ScientiMate via pip (https://pypi.org/project/scientimate):

pip install scientimate

To install ScientiMate via Anaconda cloud (https://anaconda.org/akarimp/scientimate):

conda install -c akarimp scientimate

Required Programing Language

This library can be run by using MATLAB (https://www.mathworks.com), GNU Octave (https://www.gnu.org/software/octave), or Python (https://www.python.org).

Required Package for MATLAB

MATLAB users may need to install additional MATLAB Toolboxes such as Signal Processing Toolbox for some functions.

Required Package for GNU Octave

GNU Octave users may need to install/load additional packages such as GNU Octave Signal Package for some functions.

For example, GNU Octave Signal Package can be loaded inside GNU Octave by using a following command in a command window (This should be done every time GNU Octave is opened):

>> pkg load signal

If GNU Octave Signal Package is not already installed, it should be first installed from Octave Forge (https://octave.sourceforge.io), and then get loaded by using the following commands in a command window:

>> pkg install -forge signal
>> pkg load signal

Required Package for Python

Following packages are required:

• NumPy (https://numpy.org)

• SciPy (https://www.scipy.org)

• Matplotlib (https://matplotlib.org)

Quick Start (MATLAB Version)

x(:,1)=linspace(1,10,10);
y(:,1)=1+rand(10,1);
y(:,2)=2+rand(10,1);
plot2d(x,y,'line_confid','blue_red','large')

Quick Start (Python Version)

import scientimate as sm
import numpy as np

print(sm.__version__)

x=np.linspace(1,10,10)
y=np.zeros((10,2))
y[:,0]=1+np.random.rand(10)
y[:,1]=2+np.random.rand(10)
sm.plot2d(x,y,'line_confid','blue_red','large')

Recommended Books

• Ocean Wave Data Analysis

  Introduction to Time Series Analysis, Signal Processing, and Wave Prediction.

  Order at Amazon: https://www.amazon.com/dp/0692109978

  
  
• Principles of Data Science with Python

  Introduction to Scientific Computing, Data Analysis, and Data Visualization.

  Order at Amazon: https://www.amazon.com/dp/1735241008

  
  
• Fundamentals of Data Science with MATLAB

  Introduction to Scientific Computing, Data Analysis, and Data Visualization.

  Order at Amazon: https://www.amazon.com/dp/1735241016

Citation

Cite this package as:

Karimpour, A. (2022). ScientiMate, Earth-Science Data Analysis Library.

License Agreement and Disclaimer

ScientiMate: Earth-Science Data Analysis Library

Copyright (c) 2022 Arash Karimpour

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.