The Methods, Models, and Geographic Information Systems (MMG) Area of Emphasis focuses on important tools to the field of geography. This sub-discipline is chiefly concerned with the development, application and assessment of tools used in geographic research. A heavily quantitative discipline, this field aims to utilize recent advancements in technology; including computers, remote sensing and geolocation devices.
This Area of Emphasis provides an opportunity to study mathematical modeling, geographic information systems, remote sensing, spatial statistics, image analysis and visualization, global positioning and surveying technologies, sensor networks, and web-based research and communication of geographical concepts and data.
The UC Davis campus and Geography program in particular with a wide interdisciplinary group of researchers provides ample opportunities to apply and test techniques to solve real world issues.
The MMG geography sub-discipline takes advantage of the globally-recognized environmental, agricultural, and natural resources research programs at Davis to provide students with ample opportunities to apply and test techniques to solve real world issues.
The geography core course requirements must be fulfilled in addition to the curriculum listed for the area of emphasis.
The curriculum of the Methods, Models, and Geographic Information Systems in the Geography Graduate Group consists of the following coursework: (1) a relevant core course, (2) a relevant methods course, and (3) elective courses that include both courses that relate to depth and methods. M.A. students are encouraged to take 15 units of coursework in this AOE if they do NOT do a concentration; otherwise the minimum is 8 units. Ph.D. students are encouraged to take 18 units of coursework in the AOE.
Methods, Models, and Geographic Information Systems AOE – Required course
Core (choose one)
HYD 286 Selected Topics in Environmental Remote Sensing
LDA 280 Landscape Conservation
Methods (choose one)
HYD 275 Analysis of Spatial Processes
HYD 273 Introduction to Geostatistics
Electives
Graduate level
ECL 220 Spatio-temporal Ecology
ECS 266 Spatial Databases
ESP 228 Advanced Simulation Modeling
ESP 231 Population Biology
PLS 205 Experimental Design and Analysis
PLS 206 Multivariate Systems and Modeling
WFC 222 Advanced Population Dynamics
Undergraduate level (available for graduate credit)
ABT 180 Introduction to Geographic Information Systems
ABT 182 Environmental Analysis with Geographical Information Systems
ABT/LDA 181N Concepts and Methods in Geographic Information Systems
ECS 124 Theory and Practice of Bioinformatics
ECS 129 Computational Structural Bioinformatics
ECS 130 Scientific Computation
ECS 165A Database Systems
ERS 185 Aerial Photo Interpretation and Remote Sensing
ERS 186 Environmental Remote Sensing
ESP 179 Environmental Impact Reporting