This map represents the time it would take for a tsunami to travel from La Palma. To make this map, I used elevation data to create a map representative of the sea's elevation. With this data, one can calculate a theoretical wave's speed and map it across the globe. Although, there are inaccuracies in the representation of northern latitudes and the International dateline.
The purpose of making these maps of images imposed onto a GIS was to test our understanding of coordinate systems. Each of these source images is a two-dimensional picture without orientation. Adding points pinning the image to specific geographic points places the image on the map.
These maps aim to compare different levels of sea-level rise in Miami, Florida. Using elevation data in Miami, it is possible to create different sea-level representations. For this project, the process of creating the other sea level is repetitious. This can make the process much faster by creating a process model in GIS and running the model for each elevation.
The purpose of interpolation is to change a raster into an altered version of that data. And for this project, I used the interpolation method "Inverse Distance Weighted" (IDW). This means that the GIS creates information influenced by the closer points rather than the further ones. With the interpolated data, the Ogallala Aquifer depths of 1500, recently in 2011-2014, and the difference between them, one can understand the Aquifer's usage.
This assignment focused on understanding national election voting information from the 2016 Presidential Primary in Indiana in 2008.
I then used the information to find correlations between data and voting information. I then by combining the voting data for their respective counties.