Geography 250
Computer Methods in Geography
Spring 2009
Instructor: Dr. Scott Robeson
Phone: 855-6303
Office: 120 Student Building
E-mail: srobeson at indiana.edu
Office Hours: T 1:00-3:00, or by appt, drop-ins
fine too
Prerequisite: University-level algebra or
consent of instructor
This is a first course in scientific computing; therefore, no previous computing experience is required (although it certainly is helpful). It is necessary to have some facility with mathematics (e.g., college-level algebra). It also will have been useful to have taken at least one introductory course in atmospheric or environmental science. In this class, students will learn how to use a computer to perform mathematical calculations, to analyze scientific data, and to create scientific graphics. Matlab will be the primary tool that we use. We also will cover other software that is useful in the atmospheric and environmental sciences. In all cases, the logic and scientific application of the programming exercise will be emphasized, allowing the skills learned to be used universally. Examples and exercises will be oriented towards research and practical applications in atmospheric and environmental science.
Readings will be assigned as we progress through the semester. There also will be a number of handouts that cover specific information related to computing at IU and Matlab, as well as scientific applications.
Exercise 1: Basic Plotting and Sensitivity Analysis Exercise 2: External Data and Time Series Analysis Exercise 3: Histograms and Distributions Exercise 4: Sensitivity Analysis (and Functions) Exercise on Probability and Predictability Exercise 5: Point Patterns and Map Grids Exercise 6: Contour Maps and Colormaps Exercise 7: Population Dynamics Exercise 8: Autocorrelation and Stochastic Simulation Grading:
Exercises (8-10)     50%
Wind Power (general article)
Review Article on Wind Energy from IU Researcher (Geography Compass)
Danish Wind Industry
Choosing a Graph
HadCRU Temperature Data
IPCC's Climate
Change 2001 (TAR) Document on Temperature Change's
Climatic
Research Unit (UEA) Temperature Data
Simple Histogram Explorer
Background on Histograms and Some Examples
Mean,
Median, and
Standard Deviation
from Wikipedia
The "Statistics Homepage" (online text with many brief descriptions)
HCN Info on Long-term Climate Stations
NWS Windchill Page
Indiana State Climate Office
Bluestein and Zecher Paper from BAMS
ColorBrewer: A Guide to Selecting Color Schemes for Maps
More on Colormaps and Map Design
Basics of the Normal Probability Distribution
Using El Nino in Seasonal Climate Prediction: CLIVAR Brochure (pdf)
Seasonal Climate Prediction (Columbia/IRI online course)
U.S. Historical Climatology Network (Monthly Data)
Spatial Point Patterns Described
Grid Cell Info and Calculator
Sampling Patterns
Historical Climate Network: NCDC
Historical Climate Network: CDIAC
Map Projections
More on Map Projections
0.5 degree Climate Data from Univ of Delaware
ColorBrewer: A Guide to Selecting Color Schemes for Maps
More on Colormaps and Map Design
Map Projections
US Census Bureau
UN Population Division
Population
Dynamics in Ecology Demo (Univ of Wisconsin)
Mathematical Models for Population Growth
Background on Verhulst Population Model
More on Verhulst Population Model
CPC Atmospheric and SST Indices
CPC El Nino/La Nina Information
Autocorrelation Primer (PDF from Dave Meko of the Tree-Ring Lab, U of Arizona)
NAO
Info
Mid-term exam 25%
Final Project 25%