Physical Sciences and Mathematics Commons^™

Filling In The Gaps: Applications Of Deep Learning, Satellite Imagery, And High Performance Computing For The Estimation And Distribution Of Geospatial Data, Seth Goodman

Dissertations, Theses, and Masters Projects

Many regions around the world suffer from a lack of authoritatively-collected data on factors critical to understanding human well-being. This challenges our ability to understand the progress society is making towards reducing poverty, improving lifespans, or otherwise improving livelihoods. A growing body of research is exploring how deep learning algorithms can be used to produce novel estimates of sparse development data, and how access to such data can impact development efforts. This dissertation contributes to this literature in three parts. First, using Landsat 8 satellite imagery and data from the Armed Conflict Location & Event Data Project, convolutional neural networks …

Gis & Middle Earth, Robert A. Rose

Arts & Sciences Open Educational Resources

Did Frodo take the best path to destroy the One Ring?

With the right spatial data layers and utilizing the power of a geographic information system, a least cost path analysis could reveal whether there was a better route that Frodo could have taken from the Shire to Mount Doom to destroy the ring of power.

After several years of development, the Center for Geospatial Analysis at William & Mary, has developed an extensive list of GIS layers of Middle Earth, including a 50 meter elevation model, roads, rivers, realms and many others. These data formed the basis for an …