Geographic Information Systems

Units: 3

This course provides an advanced overview of how geographic information systems [GIS] facilitate data analysis and communication to address common geographic problems. Students improve spatial reasoning and problem definition expertise while emphasizing geographic data models and structures, data manipulation and storage, customization through programming, and the integration of geospatial analysis and modeling into project-based problem solving applicable to a variety of disciplines. Skilled application of both desktop and cloud-based GIS software supports these areas. Extensive independent learning and computer experiences include virtual laboratory sessions, alongside optional online or in-person weekly help sessions to facilitate student learning.

Offered in Fall and Spring

Units: 3

Focus on spatial problem solving from a geographic information perspective. Students learn to solve spatial problems through advanced analysis using geospatial technologies, learn to integrate and analyze spatial data in various formats, and explore methods for displaying geographic data analysis results to guide decision making. All course materials are delivered through the Internet, with optional weekly on-campus and synchronous online help sessions.

Offered in Fall and Spring

Units: 1

Students will examine a variety of topics critical to successful navigation of the geospatial profession, with an emphasis on map communication and presentation, interpreting geospatial research, the ethical, legal, and social implications [ELSI] of using spatial data, metadata concepts, and linking results to policy actions. Students will engage in several writing, presentation, and interpretation exercises.

Offered in Fall and Spring

Units: 3

Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing [georectification, enhancements and transformations], processing [visual interpretation, indices, supervised and unsupervised classification] and post-processing [masking, change analysis and accuracy assessment] of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.

Offered in Spring Only

TERM: Offered in Fall and Spring

Units: 2

Principles of cartographic design and how to apply them to produce high-quality geographic information system [GIS] based maps. Successful students will acquire an understanding of map design and experience applying it with GIS software. Students produce project maps in both print and web media.

Offered in Spring Only

Units: 3

Introduction to the methods and applications of geographic spatial modeling technology in landscape architecture and environmental planning.

Offered in Fall Only

Units: 3

The application of geographic information systems [GIS] to surface water modeling including stream and watershed delineations, regulatory wetlands jurisdiction determinations, and flood mapping. In addition students will develop spatial computation methods to support hydrological analysis in land use planning, landscape management, and engineering assessments.

Offered in Fall and Spring

Units: 3

This course focuses on geospatial information systems from a mathematical and information science perspective. We discuss theoretical frameworks for conceptualizing geographic data, including levels of measurement, data control, and the vector data and raster data paradigms. Then we discuss the geometric underpinnings of geospatial systems: representing data with geographic elements, spatial referencing systems, and projection. Next, we explore map-related topology and computational geometry concepts. Finally, we survey the algorithms for core spatial manipulations, such as interpolation and polygon operations.

Offered in Fall and Spring

Units: 3

This course examines the design, development and deployment of web and mobile geospatial applications using internet and web-based protocols. Throughout the course, students will develop and deploy web and mobile GIS maps and applications relevant to their career using on-premises hosted infrastructure. Course participants will be required to complete assignments with data relevant to their interests. Additionally, students will search for and examine scientific and popular literature to understand how the course concepts are being employed and to foster ideas and discussion.

Offered in Fall Only

Units: 2

This course provides the background and foundation necessary for geospatial analysis, with emphasis on spatial statistics. Introduction to data handling techniques, conceptual and practical geospatial data analysis and GIS in research will be provided. Problems raised by the use of geospatial data will be introduced to provide an awareness of issues, their consequences, and potential solutions. The focus of this course is application and interpretation of analytical methods, rather than derivation of techniques. Students will also explore the interoperability between open source analytical platforms [such as R] and GIS platforms, in addition to other open source software. Students should expect weekly assignments, lectures, and hands-on training using GIS and statistical software. Prior knowledge in basics of GIS is recommended. Topics include descriptive and inferential statistical methods for geospatial data.

Offered in Spring Only

Units: 3

The course provides foundations in methods for GIS-based surface analysis and modeling. The topics include proximity analysis with cost surfaces and least cost paths, multivariate spatial interpolation and 3D surface visualization. Special focus is on terrain modeling, geomorphometry, solar irradiation, visibility, and watershed analysis. Students are also introduced to the basic concepts of landscape process modeling with GIS and to the principles of open source GIS. Introductory level knowledge of GIS or surveying/ geomatics principles is required.

Offered in Fall and Spring

Units: 3

The course provides an overview of UAS mapping technology and its rules and regulations. The principles of UAS data collection are explained along with optional hands-on practice with in flight planning and execution. The main focus is on processing imagery collected from UAS using structure from motion techniques and deriving orthophoto mosaics and ultra-high resolution digital elevation models of land surface, vegetation and structures. More advanced topics include multi-temporal 3D data analysis, fusion with lidar data and 3D visualization.

Offered in Fall Only

Units: 1 - 6

Special Topics in Geospatial Information Science

Offered in Fall and Spring

Units: 1

The Geospatial Forum brings together researchers, educators, practitioners, and students of the geospatial sciences in an exciting, weekly series of lively presentations and facilitated discussions centered upon frontiers in geospatial analytics and geospatial solutions to complex challenges. Live discussions are recorded and made available online for students.

Offered in Fall and Spring