Explores connections of international environmental and economic policy with everyday realities and possible ecological futures of people from the Amazon rainforest to the streets of Worcester. Considers data sampling and descriptive and inferential statistical techniques for analyzing geographic data. Includes graphic techniques, tests of hypotheses, simple regression, and the analysis of variance.
Students use computer programs for statistical analysis.
Although no prior exposure to computers or statistics is assumed, the course is suitable for students of all levels and is one for which graduate students may receive credit. Students study problems, methodological strategies, and analytical techniques characteristic of current social geographical research. Includes defining a research problem, measurement, sampling, research design, analysis, and writing the report. Stresses fundamental logic and scope of problem solving using raster and vector systems. Although the course is computer-oriented, no programming is involved.