Quantitative Geospatial Data Analysis.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisite: URSP 521 , URSP 621 or URSP 622 . This course is designed to provide a practical approach to quantitative methods and their applications in geospatial data analysis and visualization. It focuses on the description, analysis, interpretation and presentation of data in the context of conducting research that involves the use of geospatial data. This course begins with an overview of fundamental statistical concepts, builds upon them and introduces quantitative methods and their geospatial applications. Major topics include census data, geographic distributions, pattern analysis, correlation, regression, spatial relationship and statistical surface creation.