An in-depth treatment of the use of aerial photographs and other forms of imagery for the analysis of urban-industrial patterns, vegetation, agriculture, land forms, and geologic structure. Prereq: GEOG 2080 or permission of instructor.
GEOG 4/5070 – Advanced Remote Sensing
Focuses on digital image processing of satellite and aerial images. Students explore the nature of digital image data, gain an understanding of image analysis using PCs, and learn about the use of analysis products in the development of GIS databases.
GEOG 4/5080 – Introduction to GIS
Introduces Geographic Information Systems (GIS), including justification, hardware/software, database design, and data conversion. GIS is a computer-based mapping system providing a graphical interface to locational and relational attribute data.
GEOG 4/5081 – Cartography
Provides an introduction to the art and science of cartography (map making). Students will learn about design principles, tools and techniques of map production, culminating in the creation of a high-quality map through hands-on exercises.
GEOG 4/5085 – GIS for the Urban Environment
Takes a more detailed look at basic concepts presented in the introductory GIS course, concentrating on how GIS is used to solve real-world geographic problems. Various GIS applications within both the natural and social sciences are highlighted.
GEOG 4/5090 – Environmental Modeling
Expands the basic knowledge of GIS to spatial models. Establishes a comprehensive framework that can be used to address a wide range of applications in natural and built environments. Prereq: GEOG 4080 or GEOG 5080 or permission of instructor.
GEOG 4/5091 – Open Source GIS Applications
The course will cover the individual use and integration of the most matured and powerful FOSS4G for each geospatial software niche: Desktop GIS (QGIS for vector and GRASS for raster), Database Management System with spatial extension (PostgreSQL-PostGIS) and Web-GIS (MapServer/GeoServer as GIS Server and diverse software as clients).
GEOG 4/5095 – GIS Functionality on the Web
Covers the core principles and technologies that allow the deployment of geographic information system (GIS) functionality over the World Wide Web. Hands-on exercises make use of the latest commercial software as well as open source technologies.
GEOG 4/5092 – GIS Programming and Automation
Students will learn the most commonly used programming language to automate GIS geoprocessing tasks and workflows in the latest versions of the most popular GIS systems.
GEOG 5050 – Applied Spatial Statistics
Statistics is important to the scientific study of just about anything. It is the study of how to make sense of a large amount of data; to recognize and systematically explore patterns in data, explore patterns relationships between data sets, use them to produce rigorous scientific results, and then communicate those results. As geography is about exploring space and spatial relationships, geographers are particularly interested in applying statistical methods to those relationships. Although spatial statistics is in many ways not much different from the traditional study of statistics, but the inclusion of space introduces some additional concerns that must be handled with some knowledge and care.
LDAR 5540 – GIS Analysis for Landscape Architecture
The historical development of mapping technologies and remote sensing data collection establishes a foundation for advanced spatial analysis in this foundation course. Multiple public and proprietary GIS platforms are employed, and students will learn how to collect, arrange, interpret and present GIS data in a wide range of scenarios common to the practice of landscape architecture today.
URPL 6250 – GIS Analysis for Urban Planning
This course expands beyond the fundamentals of Geographic Information Systems to offer intensive instruction in GIS analysis and cartography; advanced GIS applications and tools; GIS integration with other applications and technologies; innovations in geo-spatial data collection, analysis, and presentation.
URPL 6260 – Advanced Spatial Methods
This course teaches spatial/statistical analysis methods including advanced overlay analysis with geoprocessing and cross-tabulation, spatial cluster analysis, analysis of variance, logistic regression, multi-modal inference, spatially weighted regression, analysis of spatial residuals, and measures of spatial autocorrelation.