GSEI 5800/6800 - Python Programming for the Environment (Auburn University; named 'NATR 4970/7970' for 2024 Spring)
- Piggyback course for both undergraduate and graduate students
- Fundamental concepts of geographic information science (GIScience), including remote sensing, geographic information systems (GIS), global positioning systems (GPS), cartography, and spatial analysis.
GEOG104 - Geographic Information Science (San Diego State University or SDSU)
- Lower-division undergraduate course.
- Basic Python data structure, function, programming syntax, web-scraping, data visualization, graphic user interface, and related skills.
GEOG385 - Spatial Data Analysis (SDSU)
- Analysis of spatially distributed data including computer applications. Spatial sampling, spatial descriptive statistics for point and areal data, inferential statistics, use of maps in data analysis.
- Lectures, home assignments, and exams.
GEOG506 - Landscape Ecology (SDSU)
- Theories, techniques, and frontiers in landscape ecology, applications of landscape ecology in natural resources/environment management and conservation.
- Lectures, class presentations, final paper, and labs.
GEOG585 - Quantitative Methods in Geographic Research (SDSU)
- Application of statistical techniques to geographic research. Simple and multiple regressions, correlation, classification, factor analysis and principle component analysis, spatial statistics, geographically weighted regression (GWR).
- Lectures, labs, home assignments, exam, and project.
GEOG780 - Landscape Modeling and Simulation (Seminar at SDSU)
- Exploration of various approaches to modeling and simulating landscape patterns and changes driven by human and ecological processes: terrain modeling, multinomial and binomial logistic regressions in habitat analysis, cellular automata models, Markov chain models, survival analysis, agent-based modeling, and spatial model validation.
- Lectures, labs, home assignments, and project.
To view pdf files you may need to download Adobe Reader.