SAS Banner
SAS Mobile Banner

Geography Knows No Boundaries

Credits: 3

In this course students will learn how to visualize, analyze, interpret data, and find data in online data repositories with emphasis on spatial data. The course will cover traditional and emerging visualization techniques, basic descriptive statistical methods, and a range of techniques for problem solving includeing hypothesis testing, correlation and regression analysis. These techniques will be applied to explore problems in geography through project work and in laboratory exercises using Microsoft Excel and web based analysis tools.

Sample Syllabus

Spatial Data Analysis (01: 450: 320, Fall 2017 )

Spatial Data Analysis (section 01)
Index Number: 20301
Credits: 3.00
Professor: RENNERMALM, A.
Schedule:
  • [L] Thu 10:20AM-11:40AM LSH-B266 (LIV)
  • [L] Mon 10:20AM-11:40AM LSH-B266 (LIV)

Upcoming Events

Oct 27 | 3:15PM | Rick Schroeder, Rutgers
Nov 3 | 3:15PM | Tony Broccoli, Rutgers
Nov 8 | 9:30AM | Faculty/Staff Meeting
Nov 10 | 3:15PM | Luke Trusel, Rowan University
Dec 6 | 9:30AM | Faculty/Staff Meeting
Dec 8 | 3:15PM | Laura Ogden, Dartmouth

Contact Us

Department of Geography-Rutgers University
Lucy Stone Hall
54 Joyce Kilmer Avenue
Piscataway, NJ 08854-8045
Voice  848.445.4103 or 848.445.4107
Fax  732.445.0006
Email: Cleo.Bartos@rutgers.edu