2017 Spring
LDARCH C177 101 - LAB 101
GIS and Environmental Spatial Data Analysis
John D Radke, Gregory S Biging, Joshua L. Verkerke
Class #:12156
Units: 4
Offered through
Landscape Architecture and Environmental Planning
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
6 hours of outside work hours per week, 3 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 3 hours of instructor presentation of course materials per week.
Other classes by John D Radke
Other classes by Gregory S Biging
Course Catalog Description
This course offers an introduction to spatial data analysis. It integrates ArcGIS analysis with spatial statistical analysis for the study of pattern and process applicable to a wide variety of fields. Major topics covered include: spatial sampling, processing data with ARC Info, exploratory GIS analysis, spatial decomposition, spatial point patterns and Ripley's K function, spatial autocorrelation, geostatistics, spatially weighted regression, spatial autoregression, generalized linear models and generalized linear mixed models.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
Textbook information is not available for Spring 2017.