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OCEANLYZ

OCEANLYZ, Ocean Wave Analyzing Toolbox, is a toolbox for analyzing the wave time series data collected by sensors in open body of water such as ocean, sea, and lake or in a laboratory.

OCEANLYZ GUI is a graphical user interface for the OCEANLYZ toolbox.

This toolbox provides spectral and zero-crossing wave analysis. It can calculate wave properties such as zero-moment wave height, significant wave height, mean wave height, peak wave period and mean period. This toolbox can correct and account for the pressure attention (pressure loss) in the water column for data collected by a pressure sensor. This toolbox can separate wind sea and swell energies and reports their properties.

:Name: OCEANLYZ :Description: Ocean Wave Analyzing Toolbox :Version: 2.0 (GUI 1.2) :Requirements: MATLAB or GNU Octave | Python (3 or later) | GUI Version (Microsoft Windows 10 (64-bit)) :Developer: Arash Karimpour | https://www.arashkarimpour.com :Documentation: https://oceanlyz.readthedocs.io :Tutorial Video: YouTube Playlist <https://www.youtube.com/playlist?list=PLcrFHi9M_GZRTCshcgujlK7y5ZPim6afM>_ :Source Code: https://github.com/akarimp/Oceanlyz :Report Issues: https://github.com/akarimp/Oceanlyz/issues

GUI Version

Installing (GUI Version)

To use stand-alone GUI version of OCEANLYZ (Microsoft Windows (64-bit)):

• Download OCEANLYZ GUI setup file:

  • Version 1.2 (GitHub): https://github.com/akarimp/Oceanlyz/releases/download/2.0/oceanlyz_gui_1.2_win_x64_setup.exe

• Run setup file and follow setup wizard to install OCEANLYZ GUI

• Start OCEANLYZ GUI

• For documentation, use Help menu in OCEANLYZ GUI

MATLAB Version

Installing (MATLAB)

To use MATLAB version of OCEANLYZ toolbox:

• Install MATLAB or GNU Octave

  • MATLAB: https://www.mathworks.com
  • GNU Octave: https://octave.org

• Download OCEANLYZ:

  • Version 2.0 (GitHub): https://github.com/akarimp/Oceanlyz/releases/download/2.0/oceanlyz_2_0.zip
  • Version 1.5 (CNET): https://download.cnet.com/Oceanlyz/3000-2054_4-75833686.html
  • Version 1.5 (GitHub): https://github.com/akarimp/Oceanlyz/releases/download/1.5/oceanlyz_1_5.zip
  • Version 1.4 (GitHub): https://github.com/akarimp/Oceanlyz/releases/download/1.5/oceanlyz_1_4.zip

• Unzip OCEANLYZ in any location you choose such as “C:\”

• Add OCEANLYZ folder to MATLAB or GNU Octave path

Add OCEANLYZ folder to MATLAB or GNU Octave path

For example, if OCEANLYZ files are in "C:\OCEANLYZ" folder, then:

To add OCEANLYZ to MATLAB or GNU Octave path, run following commands in the Command Window:

.. code:: MATLAB

OceanlyzPath = genpath('C:\oceanlyz'); %Generating path for OCEANLYZ folder and its sub-folders
addpath(OceanlyzPath); %Add OCEANLYZ folder to path

Required Package for MATLAB

MATLAB users need to install MATLAB Signal Processing Toolbox (https://www.mathworks.com/products/signal.html) for running the OCEANLYZ spectral analysis. It gives OCEANLYZ access to MATLAB Welch's power spectral density calculation. However, MATLAB Signal Processing Toolbox is not required for zero-crossing analysis.

Required Package for GNU Octave

GNU Octave users need to install/load GNU Octave Signal package (https://gnu-octave.github.io/packages/signal) for running the OCEANLYZ spectral analysis. It gives OCEANLYZ access to GNU Octave Welch's power spectral density calculation. However, GNU Octave Signal package is not required for zero-crossing analysis. To find the list of the GNU Octave's pre-installed packages, run the following command in the Command Window:

.. code:: octave

>> pkg list

GNU Octave comes with Signal package but it needs to loaded every time GNU Octave starts. The Signal package can be loaded inside GNU Octave by running the following command in the Command Window (This should be done every time GNU Octave is opened):

.. code:: octave

>> pkg load signal

If GNU Octave Signal Package is not already installed, it should be first installed from https://packages.octave.org, and then get loaded by running the following commands in the Command Window:

.. code:: octave

>> pkg install "https://downloads.sourceforge.net/project/octave/Octave%20Forge%20Packages/Individual%20Package%20Releases/signal-1.4.5.tar.gz"
>> pkg load signal

Quick Start (MATLAB)

• Open MATLAB or GNU Octave
• Change a current folder (current directory) to a folder that contains OCEANLYZ toolbox, for example “C:\oceanlyz”, in MATLAB or GNU Octave.
• Open a file named “oceanlyzinput.m” in MATLAB or GNU Octave editor and modify it based on the properties of the collected dataset and required analysis.
• Run a file named “RunOceanlyz.m” in MATLAB or GNU Octave to start calculations.

Python Version

Installing (Python)

To use Python version of OCEANLYZ toolbox:

• Install Python
• Install OCEANLYZ

1) Install Python

First, we need to install Python programming language.

• Method 1: Install 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 OCEANLYZ

After Python is installed, you need to install OCEANLYZ package.

If you installed Python, then you need to install OCEANLYZ via pip (https://pypi.org/project/oceanlyz). To do that, open the Command Prompt (or Terminal) and run:

.. code:: python

pip install oceanlyz

If you installed Anaconda Python distribution, then you need to install OCEANLYZ via Anaconda cloud (https://anaconda.org/akarimp/oceanlyz). To do that, open the Command Prompt (or Terminal) and run:

.. code:: python

conda install -c akarimp oceanlyz

Required Package for Python

Following packages are required:

• NumPy (https://numpy.org)
• SciPy (https://www.scipy.org)
• Matplotlib (https://matplotlib.org)

Quick Start (Python)

• Open Python
• Import OCEANLYZ package by using "import oceanlyz"
• Create OCEANLYZ object such as “ocn=oceanlyz.oceanlyz()” in Python and set/modify its properties based on the dataset and required analysis.
• Run a method as “ocn.runoceanlyz()” in Python to start calculations.

About

Operating System

OCEANLYZ code can be run on Microsoft Windows, Mac, and Linux. However, make sure any given path is compatible with a running operating system. In particular, “\” is used in Windows path, while “/” is used in Mac or Linux path. For example, if a path is “C:\” on Windows machine, it would be “C:/” on Mac or Linux.

OCEANLYZ GUI can be run on Microsoft Windows (64-bit) machine.

Required Programming Language

OCEANLYZ toolbox can be run by using MATLAB (https://www.mathworks.com), GNU Octave (https://octave.org), or Python (https://www.python.org).

Citation

Cite OCEANLYZ as:

Karimpour, A., & Chen, Q. (2017). Wind Wave Analysis in Depth Limited Water Using OCEANLYZ, a MATLAB toolbox. Computers & Geosciences.

Link: https://www.sciencedirect.com/science/article/pii/S0098300417306489

Recommended Books

.. list-table:: :header-rows: 1 :align: center

• • .. figure:: figures/Figure_Book_Coastal.jpg
    • .. figure:: figures/Figure_Book_Matlab.jpg
    • .. figure:: figures/Figure_Book_Python.jpg

• • Ocean Wave Data Analysis	Introduction to Time Series Analysis, Signal Processing, and Wave Prediction.
    Order at Amazon: https://www.amazon.com/dp/0692109978
    Read Online: https://github.com/akarimp/Ocean-Wave-Data-Analysis
    -	Fundamentals of Data Science with MATLAB
    Introduction to Scientific Computing, Data Analysis, and Data Visualization.
    Order at Amazon: https://www.amazon.com/dp/1735241016
    Read Online: https://github.com/akarimp/Fundamentals-of-Data-Science-with-MATLAB
    -	Principles of Data Science with Python
    Introduction to Scientific Computing, Data Analysis, and Data Visualization.
    Order at Amazon: https://www.amazon.com/dp/1735241008
    Read Online: https://github.com/akarimp/Principles-of-Data-Science-with-Python

Recommended Applications

.. list-table:: :header-rows: 1 :align: center

• • .. figure:: figures/Figure_Oceanlyz_Logo.png
    • .. figure:: figures/Figure_ScientiMate_Logo.png
    • .. figure:: figures/Figure_AsanPlot_Screenshot.jpg

• • OCEANLYZ	Ocean Wave Analyzing Toolbox
    Download: https://github.com/akarimp/Oceanlyz
    -	ScientiMate
    Coastal and Ocean Data Analysis Library
    Download: https://github.com/akarimp/ScientiMate
    -	AsanPlot
    Data cleaning and plotting software
    Download: https://github.com/akarimp/AsanPlot

License Agreement and Disclaimer

OCEANLYZ: Ocean Wave Analyzing Toolbox

Copyright (c) 2023 Arash Karimpour

All rights reserved

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.