Course Contents

I. Introduction II. Quantitative revolution and its impact on Geography III. Parametric and non-parametric statistics IV. Nature of geographical data and measurement scales. V. Data summarizing techniques: theory of central tendency, dispersion, and variability. VI. Time Series: graphs, growth and decline, index numbers, logarithmic scales, trends and fluctuations, components of time series. VII. Methods of drawing trend lines for linear and exponential series scatter diagrams, standard errors and probability, correlation and regression. VIII. Quantitative models in Geography

Course Synopsis

To train students in collection, analysis, interpretation and presentation of quantitative spatial data and to enable them to organize and conduct independent research To use database software for the analysis of both Spatial and Temporal data

Course Learning Outcomes

By the end of this course, the student will: • develop a broad, integrated knowledge and understanding of quantitative methods, their principles and appropriate application with Geography • gain an appreciation of issues in the use of statistical methods for both descriptive and inferential purposes • consider how best to use, interpret and evaluate numerical and graphical data to achieve goals • provide a basic knowledge of the skills needed to carry out basic computer-based statistical analysis • have a critical understanding of the particular issues associated with the analysis of quantitative spatial data • gain practical experience of a selection of the principal skills and a few of the specialised skills employed in this field • gain experience drawing on a range of sources in making judgements