Methods of gathering and analyzing data for the solution of geographical, urban, and regional planning problems, with emphasis on quantitative and statistical techniques used in spatial analysis and cartography, on the one hand, and program planning, on the other.
This course introduces students to the theory of geovisualization (GV) and presents a range of case study applications. GV is intended to support spatio-temporal decision making across a range of domains, from urban planning to environmental management and climate analysis. Students integrate their theoretical learning into the assigned Lab protocol to design, deliver and test a range of GV products. A range of softwares are used including the ArcGIS suite; Google Map; Google Earth; and Build Out 3D modeling environment.
Combining aspects of Remote Sensing and GIS, this course will teach you everything you need to know to confidently plan for, acquire, process, and interpret drone data as well as produce re-source maps (e.g., aerial photography maps) and become a li-censed UAS pilot.
Introduces students to the expanding field of web and mobile-based mapping application development. Students will apply skills to learn how to build interactive web and mobile apps that use geospatial data in an attractive format. Students will gain an understanding of web mapping using applications like ArcGIS for Server, ArcGIS Online (AGOL), WebAppBuilder (WAB), web-enabled geoprocessing, Story Maps, AppStudio, and the Javascript API.
The Master’s Project includes a formal report and presentation submitted in lieu of a Master’s Thesis and reflects what a student has learned from the MS-GIST program. This course focuses on addressing normative and/or scientific geographic problems, data capture, compilation and manipulation, and formulating methods and analysis to address the problem in a given timeline.
MS students take 6 units of GIST 909
P-GIST students can take 909 only with advanced approval from a GIST advisor
This course provides students a brief introduction about Open Source software for both desktop and internet GIS applications. Main objective of the course is to expose students to alternative open source tools for practicing GIS besides licensed and conventional GIS software. Students will go through hands on learning about applications hosting, data development, processing, and sharing using open source tools and technologies such as GITHub , Quantum GIS (QGIS), Python, GeoServer and PostGIS. Students will apply technology in lab assignments using real-world data.
A GIST-based problem solving approach within the context of a student-directed project. Specific GIS skills covered include project planning, spatial data sources and acquisition, data compilation, coding, analysis, representation, and presentation of results. The course can be repeated for credit, as the topics will vary; each course will examine a different urban or environmental issue in the natural and social sciences using geographic information systems technology.
This course examines the principles and practices associated with raster data development and analysis, particularly the development of real world surfaces and statistical analysis based on these surfaces. The course is presented in a lecture/laboratory format. The lecture portion will deal with conceptual issues necessary for the use of raster approaches within a GIS framework. The laboratory portion will provide practical experience with rasters in an ArcGIS environment.
This course provides an introduction to the scientific principles and practices of remote sensing. Topics that will be covered in this course include issues of spatial resolutions, the electromagnetic spectrum, remotely sensed sensors, spectral characteristics, digital and digitalization issues, multispectral and LiDAR image processing and enhancement, and land-use and land-cover classifications (LULC) and change detection. The course also emphasizes integration issues and analysis techniques that arise when merging remotely sensed data with geographic information systems (GIS).
This course will introduce the fundamental concepts of geographic information systems technology (GIST). It will emphasize equally GISystems and GIScience. Geographic information systems are a powerful set of tools for storing, retrieving, transforming and displaying spatial data from the real world for a particular set of purposes. In contrast, geographic information science is concerned with both the research on GIS and with GIS. As Longley et al. (2001, vii) note, “GIS is fundamentally an applications-led technology, yet science underpins successful applications.” This course will combine an overview of the general principles of GIScience and how this relates to the nature and analytical use of spatial information within GIS software and technology. Students will apply the principles and science of GIST through a series of practical labs using ESRI’s ArcGIS software.
