Instructions on for running the Seabird python script on a linux machine
Download the seabird code from https://github.com/stormxuwz/Seabird
Steps
- Install the latest version of Python
- Install Python Package Manager
- sudo apt-get install python-pip
- Install all the required packages in the SciPy library stack
- sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose
Install the scikit learn library for python
sudo pip install -U scikit-learn
- The main entry program for this application is the Seabird.py python script
- In the script Seabird.py in lines 89,101 specify the directory under which the Seabird input data files are present inside the os.chdir command. In line 102, specify the name of the .btl file which contains the seabird bottle data in the variable
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- bottle_file.
- Save and run the script.
- python Seabird.py
- The output files would have been generated inside the directory which you previously specified in step 6.
Instructions for running the Triaxus R script on a linux machine
Steps
- Install R
- sudo apt-get install r-base
- sudo apt-get install libgeos++-dev
- Go to the R execution environment by entering sudo R
- Install various prerequisite packages through the following commands
install.packages("ggplot2")
install.packages("gstat")
install.packages("moments")
install.packages("fields")
install.packages("GA")
install.packages("spdep")
- Create a Folder called Result inside the applications directory and a sub folder called Variogram inside the newly created Result folder. These folders would be used by the script to store some meta data.
- Run the main entry R script for the application, by entering source("Main.R")
- The final output graph should be available as a pop up on the terminal.
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