UC Santa Barbara Geography / Courses /
Presentation and discussion by department faculty of research areas in the department. Systematic and technique areas of emphasis will be presented, as well as department facilities and research collaborations with other institutions.
Fundamental issues of research in geography and related areas: the geographic perspective, scientific reading/writing and problem formulation, research techniques, the scientific enterprise, and science and society.
Directed readings and research leading to a draft thesis proposal (MA students) or a systematic literature review in prospective dissertation area (Ph.D. students); participation in seminars discussing ongoing graduate research.
A series of seminars on diverse problems in human and physical geography, and geographic techniques, by current and visiting faculty and researchers.
Required course for students in the Interdisciplinary Quantitative Methods in the Social Sciences emphasis.
Principles of radiation emission; radiative transfer equation and some solution methods; surface interactions; instrumentation; applications to remote sensing and energy budgets in atmosphere, ocean, and other media.
Quantitative methods (operations research, applied mathematics and statistics, numerical simulation) are used to analyze and synthesize complex water resources systems. Topics include economic analysis, hydropower, flood control, groundwater management, and reservoirs.
A process-based quantitative study of soil development as driving variables of climate, biota, lithology, topography and geologic time. Emphasis on interactions among soil and other earth system components: atmosphere, lithosphere, biosphere, hydrosphere.
Independent projects that include field site selection, soil description, sampling, laboratory preparation of soil samples, and chemical and physical analysis designed to resolve specific hypotheses.
Introduction to analytical methods for geography research. Topics include: calculus, differential equations and linear algebra. Emphasis is placed on solving geographically relevant problems and their documentation.
Statistical principles and practice of analyzing geographical data. Topics include bivariate and multiple regression and other multivariate techniques. Emphasis on exploratory data analysis and graphical techniques.
Overview of key concepts in spatial statistics, including measures of spatial association and models for spatial regression, point processes and random fields. Geostatistical methods for analysis and interpolating continuous and area (lattice) data.
Issues, problems, technologies, policies, plans, and the transportation-environment relationship. Transportation systems simulation, data collection and model building. Applications in planning, design, and operations. Lab: Critically examine transportation plans and programs and explore travel surveys.
Transportation data collection, travel survey design. Revealed and stated choice data and their collection in laboratory and field studies. Regression models and systems simulation. Applications in policy planning and operations. Lab: Data analysis, model development, testing in typical regional simulation.
Time-use, activity analysis, and travel behavior in space, time, and social context. Cross-sectional and longitudinal data collection and analysis with emphasis on using time, travel, technology, information, and telecommunication. Applications using simultaneous equations, multilevel, latent class, and structural equations models.
Passive remote sensing (VIS/NIR,Thermal microwave). Discussion of advanced sensors, techniques, modeling, and applications in each spectral region. Includes computer-based laboratory exercises. A final paper and oral presentation of a research project using remote sensing is required.
Discusses advanced sensors, techniques, modeling, and applications of active remote sensing including Synthetic Aperture Radar (SAR) and Light Detection and Ranging (LIDAR). Includes computer-based laboratory exercises. Final paper and oral presentation of research project using remote sensing is required.
Introduction to scientific research methods in human, physical, and techniques geography. Topics include: scientific logic and philosophy, physical measurement, surveys, experimental and nonexperimental research designs, computational modeling, sampling, data analysis and display, written and oral communication, and research ethics.
Seminar focusing on advanced methods of regional economic and population analysis. Topics vary but may include one or more of the following: multi-regional projection, stochastic population forecasts, I-O analysis, and/or regional econometric models.
Detailed studies of selected social, economic, and physical problems related to modern cities.
Theories and methods related to acquiring, representing, and analyzing knowledge of complex large-scale environments.
Survey of behavioral approaches in a variety of areas of geography.
Theory and research on cognitive issues in geographic information science. Perception, memory, reasoning, communication, human factors in digital worlds.
Classical map projections; cartograms; empirical "rubber sheeting"; bidimensional regression. The geometry of geography: geodesics; geographical circles; the distortion tensor; nonsymmetric distances.
Basic quantitative understanding of processes shaping the Earth's surface. In-depth evaluations of hill slope diffusion, mass wasting, and fluvial processes. Applications of quantitative methods are emphasized throughout the class. Laboratory provides an understanding of isotopic, physical, and remote sensing dataset. (Fall)
Advanced substantive investigation of the geography of human population. The geographical dimensions of fertility, mortality and migration are explored. Important recent and classic demographic literature is reviewed.
Exploration of global and regional patterns of demographic change especially as they relate to significant economic development or environmental issues. Course readings are selected to provide a broad overview of current research frontiers in addition to classic readings.
An introduction to mathematical and statistical demography. Primary emphasis is on spatially-explicit methods: multiregional life tables, multiregional projection, spatial statistics/econometrics applied to population, and life course analysis of migration. Matlab and SAS are used for applications.
Examines land use-land cover changes across ecosystems. Theoretical and methodological challenges to linking biophysical, socio-economic, and remote sensing/GIS analysis. Seminar includes review of current literature focusing on detection and monitoring, driving forces, and impacts of land modifications.
Quantitative and computational study of land-atmosphere hydrologic interactions; modeling of surface water and groundwater processes, regional groundwater systems and solute transport.
Physical processes involved in global warming: carbon dioxide increase and uptake; role of clouds, oceans and biosphere; consequences: sea level changes, hydrological cycle intensification, etc. Climate modeling and predictions.
Graduate seminar supplements Geography 155 with further exploration of primary texts probing historical and spatial patterns of society, politics, and demographics with emphasis on human-environment interactions. Students discuss assigned reading and present in class, and write a term paper.
An examination of the optical properties and radiative transfers in natural waters. Applications discussed include modeling of solar radiation penetration, relectance and transmittance at the air-sea interface, and ocean color remote sensing.
Detailed studies of upper ocean dynamics and physical processes. Topics may include mesoscale dynamics, mixed layer modeling, radiative transfer, turbulent mixing processes, and internal waves.
A graduate-level introduction to physical oceanography. Topics discussed include: properties of sea water, derivation and application of the equations of motion for a rotating planet, and the dynamics of wind- and buoyancy-driven general circulation.
Graduate seminar in physical, optical, and biological oceanography.
Fundamentals in atmospheric processes that are important for understanding the role of the atmosphere in earthís climate and biogeochemistry. Graduate-level introduction to radiation, dynamics, clouds, chemistry, and how they interact.
Study of current trends in geographically oriented information processing systems.
Introduction to time series analysis in geography. Topics include spatial and temporal sampling, fast Fourier transform techniques, linear systems, and digital filtering.
Seminar covering topics in spatial environmental modeling. Integrates techniques such as remote sensing and GIS into modeling of spatial processes. Topics include biogeochemical cycles, hydrology, species distribution and habitat disturbance.
Practice of geostatistics on large environmental data sets using MATLAB. Methods for modeling spatial patterns, integrating spatial data across multiple spatial scales, and simulating complex spatial distributions.
Research frontiers in geostatistics, and innovative application of spatial statistics to the analysis of geographical data.
A series of lectures and seminars on diverse research topics on climate change.
Introduction to GIScience as an academic research field, conducted through review, discussion, and presentation of seminal works from leading journals. Labs reinforce and develop students' existing techniques on problems of research-level difficulty in spatial analysis, cognition and mobile GIS.
Builds on previous course through in-depth examination of topics chosen by interests of leading professor. Labs emphasize development of advanced spatial analytical skills, cutting edge visualization techniques, and spatio-temporal modeling. Course concludes with an individual GIScience project.
Geographic curriculum content that lies outside regularly scheduled courses. New classes under development or taught temporarily. Course number-letter combination reflects instructor. Content varies.
Survey of advanced optimization techniques with applications to geographical problems. Methods include advanced topics in linear programming, dynamic programming, integer programming, networks, and queuing.
Study of current research and application of systems models in the analysis, design, operation, and scheduling of transport and location problems.
Intensive reading and discussions of current topics in soil-geomorphology, soil-geochemistry, and quantitative modeling of soil processes.
Development of the links between the biological and inorganic components of the soil. Water availability and nutrients control plant and soil microbial communities. These in turn affect the soil by enhancing weathering and modifying the local environment.
Compulsory course for new teaching assistants to examine geographic teaching methods. Emphasis on use of special equipment and facilities in the department, teaching aids, examination preparation and grading, student advising, and special problems.
Individual tutorial. Instructor is usually studentís major professor.
Instructor should be studentís major professor or chair of the doctoral committee.
Research toward and writing of thesis.