Notebooks

Structure

We have the following five demo notebooks you can try:

• 1-demo-landscape-metrics-comparison-to-pylandstats.ipynb: a comparison between our method and the PyLandStats package.
• 2-demo-landscape-timeseries-metrics.ipynb: an illustration on how to use GeoGraph for time-series analysis of landscape-level, class-level, habitat-level and patch-distribution-level metrics around the Chernobyl exclusion zone.
• 3-demo-nodediff.ipynb: an investigation of the spatially resolved qualitative and quantitative dynamics of land cover in the Chernobyl Exclusion Zone.
• 4-demo-geographviewer-polesia.ipynb: a demo of our GeoGraphViewer user interface on the Polesia data¹ (as seen in presentation).
• 5-demo-geographviewer-chernobyl.ipynb: a demo of our GeoGraphViewer user interface on ESA CCI data in the Chernobyl Exclusion Zone. This demo also shows how to use our temporal analysis of node dynamics and growth.

¹The Polesia data set used here was created by Dmitri Grummo, for the Endangered Landscapes Program (https://www.endangeredlandscapes.org/), and funded by Arcadia, a charitable fund of Lisbet Rausing and Peter Baldwin.

Useful initialization cell

To avoid having to reload the notebook when you change code from underlying imports, we recommend the following handy initialization cell for jupyter notebooks:

%load_ext autoreload             # loads the autoreload package into ipython kernel
%autoreload 2                    # sets autoreload mode to automatically reload modules when they change
%config IPCompleter.greedy=True  # enables tab completion

from jupyterthemes import jtplot
jtplot.style(theme=’monokai’, context=’notebook’, ticks=True, grid=False)