Add Average Algorithm usage doc and Small tweak to Average Algorithm

Multi observatory Averaging with updated that fixes #158

added a raise exception for more than 1 channel in configure

to geomag.py

averaged data

the interface friendlier

Use bytesio

Updated version info

Updated to v0.3.0 in the text of package.json and setup.py in preparation
for new tagged release.

WIP: Fix Adjusted Data transformation matrix generator

WIP: update observatory metadata decbas

Duff Stewart had several helpful comments regarding the last commit for this PR.
These were addressed, along with some additional minor Notebook clean-up.

Discovered a small typo in the BLC (Baker Lake) entry. Fixed it.

Only the BOU observatory had updated DECBAS values. This commit includes all DECBAS values adopted on July 1 2013, which estimated from the 2011 annual means. These values have been used in the preliminary data exported to Intermagnet since they were adopted, but they have not been used in geomag-algorithms.

- fixed datetime labels on plots so they are readable
- added another example of a constrained estimate that might be useful

Fixed a number of issues with the Adjusted Data affine transformation matrix generator
in the IPython Notebook AdjustedPhase1GenerationTool.ipynb:

- original version mistakenly pointed to geohazards server for baseline web service,
  which requires a password; we only needed to read baselines, not write, and this
  functionality is provided by the geomag server.
- original version choked if only 1 baseline set was available when extracting a
  pier correction from the set
- original version did not filter time stamps quite right; updated version at least
  does not include times not requested, although it may return fewer than expected if
  the timestamp associated with a baseline set is later/earlier than the measurement
  times (this frequently happens due to a bug in the webabsolutes package that has
  been reported)
- generate plots with datetimes
- added non-active cell that constrains the affine transformation matrix to apply a
  uniform scaling factor instead of allowing separate scaling for different vecor
  components
- redid the pseudo definitive data calculations based on average baselines to better
  reflect how MagProc software works.
- inserted/modified markdown and docstrings to better describe what is going on.

Add Python 3 support