GIS PORTFOLIO

selected work

RETAIL STORE LOCATION GUIDANCE

In this exercise, I advise a hypothetical client on where to open a bicycle shop.

This study uses the statistical learning capability of R to predict where landslides are likely to occur.

I designed this map to facilitate retrieving information while working in the field.

Here, I georeferenced a map created in 1903 and digitized over 1800 point features.

In this video I use the temporal features of QGIS to show how a geographic distribution has changed over time.

The data used in this map came from the Bureau of Ocean Energy Management.

This series of maps come from a study of traffic congestion in Bristol, England.

I conducted the spatial analyses in R and assembled the maps in QGIS.

These maps were based on an exercise from the book Geocomputation with R by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow.