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Course Criteria
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1.00 Credits
Students receive variable credit for advanced research & readings in the honors program.
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1.00 Credits
Academic experience taking place in the field with an opportunity to earn credit.
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1.00 Credits
Undergraduates, typically juniors & seniors, construct an independent study course on a topic approved & directed by a facutly member. Offered for variable credit.
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1.00 Credits
Examines the purpose, scope and procedures of qualitative research, especially as applied to human geography. Emphasis is on epistemologies underlying various approaches to qualitative research. Readings will draw on a variety of work in the social sciences, especially anthropology, geography, sociology and women's studies. We examine a range of qualitative methods, including interviews, participant and nonparticipant observation, ethnography, action research and discourse analysis. Through case-study readings, we examine how scholars employ these methods in different research contexts, with particular attention to the ethical and practical considerations of doing so. The course will engage theoretical debates relevant to qualitative research by addressing questions such as: How does qualitative research challenge the practice of social "science" and the search for "universal truths"? How do we represent the world or multiple understandings and perspectives of it? What are the implications of using qualitative data for the researcher, the research product and the "researched"? How do we interpret qualitative data and present it to scholarly audiences?
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1.00 Credits
Introduces the most standard methods of statistical analysis, which are essential for serious research. Considers data sampling and descriptive and inferential statistical techniques for analyzing geographic data. Includes graphic techniques, tests of hypotheses and regression. Students use computer spreadsheets for statistical analysis. No prior exposure to statistics is assumed. The course is one for which graduate students may receive credit. A skills course for geography majors. A statistics course for environmental majors. Fulfills the Formal Analysis requirement.
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1.00 Credits
Type of course: Lecture, Lab Central to scientific work in the environmental sciences is the collection and analysis of field data. In this field-based course students will learn central methods used in environmental science, especially forest ecology. Students will also work with the scientific method and explore how to formulate and test hypotheses. Class meets once per week in the classroom, where students will discuss methodological approaches, or in nearby forest ecosystems, where students will learn to collect and analyze field data. Prerequisite: The successful completion of or concurrent enrollment in Geography 116 or consent of the instructor is a prerequisite for Geography 216.
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1.00 Credits
Type of course: Seminar This graduate seminar will examine classical, recent, and current works in geography and related fields that examine the particular ways in which capitalist societies interact with and transform their environments. Major themes will include: 1) Potential tensions or contradictions between the functioning of capitalist and biophysical systems, including the possibility of natural limits to capitalist economic growth; 2) The characteristic ways in which capitalism internalizes nature into circuits of capital, through the creation of real or fictitious commodities; 3) The ways in which the characteristics of natural systems present specific obstacles to and/or opportunities for capital accumulation; 4) The ways in which capitalism does not merely confront ‘external’ environments, but physically remakes them; 5) The distinctive dynamics of environmental social movements and politics generated by the above processes.
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1.00 Credits
Considers the relationships between spatial patterns in landscape structure (physical, biological and cultural) and ecological processes. Role of ecosystem pattern in mass and energy transfers, disturbance regimes, species' persistence, applications of remote sensing and GIS for landscape characterization and modeling are examined. GEOG 116 Forest Ecology strongly recommended.
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1.00 Credits
Continues development begun in GEOG 110 of computer-based methods in geographical analysis. Focuses on bivariate and multivariate regression, discriminant analysis, factor analysis, log-linear models and analysis of spatial and temporal data. Includes lab work with PCs, spreadsheets and SPSS-X statistical software package. Meets skill requirement for geography majors and graduate students.
Prerequisite:
GEOG 110.
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1.00 Credits
The participants in this seminar will work collaboratively to create new GIS-based methods to measure and to explain land change over time and its environmental consequences. The work is linked closely to funded research at Clark University. Students must take initiative and be creative because we will address issues for which standard methods of analysis do not yet exist. A goal of the seminar is to create the methods. Students will make regular oral presentations in class to report on progress. Participants will be encouraged to present the results at professional conferences such as the Association of American Geographers meeting. A prerequisite is Introduction to GIS or competency in GIS. Courses in statistics and quantitative modeling are useful, but not essential. This is a graduate level course in which undergraduates can enroll with special permission from Professor Pontius (rpontius@clarku.edu).
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