GEOG 2700
Geographical Data and Analysis
Introduction to quantitative methods and statistical problem solving in geography. Unique features of geographical data. Introductory methods for analysis and description of areal and point data. Central tendency, dispersion and shape of distributions. Classification methods. Use of Normal, Binomial, and Poisson distributions in geographical analysis. Bivariate correlation and regression analysis. Computer applications in statistical problem solving. Prerequisite(s): One of Geography 1000, Geography 1200, Environmental Science 2000, admission to the Post-Diploma B.Sc. in Agricultural Studies, admission to the Post-Diploma B.Sc. in Environmental Science, or admission to the Post-Diploma B.Sc. in Geography, with a Concentration in Geographical Information Science