Attributes: Natural Science Req (A&S) GIS 4100 - Microwave Remote Sensing: SAR Principles, Data Processing and Applications Credit(s): 3 Credits The course covers principles of synthetic aperture radar (SAR), SAR satellites and data sources, SAR image processing, interpretation and applications.Popular data processing techniques, including SAR intensity processing, In SAR and DIn SAR techniques, polarimetry tools/classification methods, Persistent Scatterer Interferometry are discussed through detailed step-by-step lab work on the processing chain including measuring earthquake deformation, land subsidence, landslides, building sinking, and tree height/health estimation, DEM generation, and various environmental applications.(Offered every fall.) GIS 4020 - Intermediate GIS Credit(s): 3 Credits This course covers intermediate and advanced topics in GIS, including remote sensing for GIS, geospatial statistics and social, economic, and environmental aspects of GIS.Each subject is presented by a professor who specializes in the subject area.When looking at the reasons why, researchers suggested that a very strong correlation between location of fast food restaurants and obesity related tweets are evident in data.In this case, the Latent Dirichlet Allocation algorithm, a type of probabilistic determination of topics commonly used in topic modeling, was used to show the prevalence of topics in regions.
The spatial and topical patterns were then utilized to create a learning algorithm that can estimate likely interests for individuals in a given area using prior historical use.
This class builds on what students learned in GIS 4090 and helps them develop knowledge and skills that they will use throughout their careers.
For instance, if a site or area has restaurants the person might like, given previous topics of interest, then those patterns determined by the topic model could inform which likely restaurant would be of interest. In effect, it is a type of recommendation algorithm that could be utilized by commercial sites or other applications that can guide people to given places of interest.
Because of commercial potential of spatial topical modeling, efforts have also focused on spatiotemporal topic modeling that looks at where individuals might be and, using previous patterns of topic searches or use of social media, then recommendations are made as to what areas or activities might of interest in a surrounding place the individual might likely be in at given times.