IntraUrbanTemperatureVariabilityBaltimore An analysis of intra-urban temperature variability in Baltimore. Part of Scott et 2016.
This analysis is run in the iPython notebook analysetemperature.ipynb . It can also be run with the Python script of the same name (not tested).
The notebook pulls in data listed in the data/ directory and relies on two python files for plotting utilities, ibuttonplots.py and spatialfunctions.py.
Plots are saved in the plots/ folder of the same name (not tested).
The notebook pulls in data listed in the data/ directory and relies on two python files for plotting utilities, ibuttonplots.py and spatialfunctions.py. Data is saved on my work machine as well as in my ~/git/ directory on Blaustein (blaustein.eps.jhu.edu). If you are not me and are reading this, data is available on request at ascott47@jhu.edu .
Plots are saved in the plots/ folder.
Copyright (C) 2016 Anna Scott
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.