stationcount

Time series graphs of currently active stations in the Raspberry Shake network. This graph was created with the help of Malcolm Maclean (@d3noob on Twitter) who originally created it to track the growth of the network.

Required software:

• Python 3
• Jupyter
• Matplotlib
• Obspy
• Pandas
• tqdm

Installation via Anaconda:

# install the environment with the correct software:
conda create -n stationcount python=3 jupyter matplotlib obspy pandas tqdm
# activate the environment
conda activate stationcount
# start Jupyter Notebook
jupyter-notebook

Then, navigate to this repository and open one of the two .ipynb files. Each notebook plots the information in the same way but relies on different data.

• stationcount-20191109.ipynb: Uses premade CSV file in this repository as data source
• stationcount.ipynb: Uses the FDSN server as data source

Note:

As of 11 November 2019, the FDSN server contains a bug that causes incorrect connection time to appear in the station metadata. Until the FDSN data is corrected, it is currently best to use the stationcount-20191109.ipynb method above.