Master of Science In Spatial Data Science

Bill Gates is credited with saying he would "hire a lazy person to do a difficult job" with the justification that "a lazy person will find an easy way to do it." GEOG 485 doesn't teach the lazy way to get the job done, but it does teach the scripting way -- which is arguably even better. You've probably heard the "give a fish"/"teach to fish" saying?

"Exploring Imagery and Elevation Data in GIS Applications" (GEOG 480) focuses on the use of remotely sensed imagery and elevation data in GIS applications. Students enrolling in GEOG 480 should have a solid conceptual foundation in geospatial information science and technology. GEOG 480 is appropriate for those who are already working in the geospatial profession and wish to use imagery and elevation data in visualization and spatial analysis.

Geospatial System Analysis and Design surveys the process of GIS design through critical reading/writing and collaborative discussion. Key topics in the course outline the broad range of current GIS systems, how they are designed and evaluated, and how emerging technologies may impact their design and implementation in the near future. In particular, students will develop a term-long project where they propose a realistic problem scenario that requires the skills and understanding required to effectively complete a geospatial system specification, design, and implementation.

In this data rich world, we need to understand how things are organized on the Earth's surface. Those things are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data.

Geospatial perspectives and technologies play a major role in planning for and responding to emergencies. Geospatial tools - from aerial mapping techniques to data acquisition, are changing rapidly as is emergency management as the frequency and magnitude of crises and disasters are increasing. This course provides an understanding of how geospatial perspectives and technologies support all stages of emergency management activities, from small scale emergency management efforts to large scale disaster/humanitarian efforts.

In GEOG 489, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. It complements the material covered in GEOG 485: GIS Programming and Customization. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR.

Everyone can make a web map now, but what are the best tools to do so? Maybe you have already created web maps with ArcGIS or Google Maps but never taken time to have a closer look at open source software alternatives such as QGIS, GeoServer and Leaflet? Or, are you new to web mapping and looking for the best way to create a web application for spatial data from your job or hobby? If so, GEOG 585, Open Web Mapping, is the right course for you. Learn about FOSS vs.

In GEOG 871, we'll take a critical look at geospatial project management. Project management is a broad discipline that encompasses technical methods such as system design and analysis and also interpersonal factors that affect professional relationships. Project management is also a discipline that has matured outside of, but can be incorporated into, geospatial technology. By the end of this course, you'll have devised a project plan from a scenario built upon a real-life project involving the city of Metropolis geodatabase.