Spatial Data Analysis

Spring 2023

Course overview from GEOG 385: Spatial Data Analysis at San Diego State University

The purpose of this course is to introduce you to methods of spatial data analysis. The focus is on both the conceptual and applied aspects of spatial statistical methods. We will place particular emphasis on the computational aspects of Exploratory Spatial Data Analysis (ESDA) methods for three different types of spatial data: point processes, lattice, and geostatistical. We will also cover an introduction to regression analysis on spatially referenced data. Throughout the course you will gain valuable hands-on experience with several specialized software packages for spatial data analysis. The overriding goal of the course is for you to acquire familiarity with the fundamental methodological and operational issues in the statistical analysis of geographic information and the ability to extend these methods in your own research.

Class meetings

Meeting	Location	Time
Lecture	GMCS 307	Tue & Thu 2:00 - 3:15pm

Teaching team

Name	Office hours	Location
Sergio Rey	Thu 3:30 - 4:30pm	PSFA 361G
Dylan Skrah	Tue 3:20-4:20pm	PSFA 361F