The goal of this workshop is for us to
- gather a comprehensive list of useful software components which can be used to lower the barrier for interaction with Polar datasetsq
- based upon the above, create a vagrant image which includes all of this software meaning that no installation is required on the users part
- make an effort towards documenting data resources. This is driven by the reqirement for the US Coast Guard Academy to to locate and retrieve information for a variety of use cases.
For information on what packages one would typically add to the VM, please see below
-
gdal - GDAL (Geospatial Data Abstraction Library) is a library for reading and writing raster geospatial data formats, and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.
-
Python 2.7+ - Python is a programming language that lets you work more quickly and integrate your systems more effectively.
-
scipy - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
-
Numpy - NumPy is the fundamental package for scientific computing with Python.
-
matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
-
basemap - The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python.
-
Anaconda - Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing.
TODO