Predicting alpine habitat loss

Alpine habitats are home to thousands of rare endemic and refugia species which may not grow anywhere else, and may not have any way to migrate from the harsh, isolated mountain peaks where they are found. Climate change poses a significant threat to alpine habitats, so predicting how much they may contract is important for conservation efforts. These predictions used only climate data from WorldClim 2.1, EU Dem 1.1 for elevation, and a treeline prediction from Pecher et al. (2011). Despite not including other factors which impact the treeline, such as wind speeds or soil types, the conclusions were similar to other research. These maps were made in ArcGIS.
Pecher, C., Tasser, E. Tappeiner, U., 2011. Definition of the potential treeline in the European Alps and its benefit for sustainability monitoring. Ecological Indicators 11, 438-447.

Strahler Order stream maps of New England

New England is full of streams. This project was to use the flow accumulation, detection, and strahler order tools for some hydrological modelling. Using elevation data, this hydrological modelling was able to correctly predict where some of the major rivers in the region are, such as the Connecticut River. Two different amounts of strahler orders were mapped, showing more or less detail. Because the areas outside of New England are not considered, there are some issues with the strahler order, but for the most part the method correctly shows which are the major rivers in the region.

Visualizing crimes over time in Tallinn

Using publically available crime data, it's possible to see roughly where crimes were reported and roughly how much monetary damage they caused. Unsurprisingly, most of the crimes were reported in teh city center, with fewer on the edges of Tallinn. Summer seems to be the most crime-prone time of year, and winter appears to be the most mild - probably because fewer people are outside in the cold than in the warm weather.