Spatial data are becoming increasingly available in a wide range of disciplines, including social sciences such as political science and criminology, as well as sciences such as geosciences and ecology. This course will introduce methods for exploring and analyzing spatial data. We will cover methods to describe and analyze three main types of spatial data: areal, point process, and (geostatistical) data. We will also introduce tools for working with spatial data in R.

Units: 1

Max Enrollment: 24

Prerequisites: STAT 160, STAT 218, QR 260/STAT 260, STAT 318 or permission of instructor.

Distribution Requirements: MM - Mathematical Modeling and Problem Solving

Typical Periods Offered: Fall

Semesters Offered this Academic Year: Fall

Notes: