GSP 470 - Advanced Geospatial Analysis and Modeling

Units: 3

Analysis of uncertainty, autocorrelation, trend-surfaces, and random processes. Modeling using point-process, generalized linear, generalized additive, and machine learning methods. Selecting appropriate alternative modeling methods including cellular automata, agent-based, neural networks, and stimulation. Validating and characterizing models using Monte Carlo and other methods.
Co-listed with: GSP 570. (Only one of the co-listed courses may be taken for credit. See Terminology for more information.)

Division: Upper Division
Requisites: Prerequisite: GSP 370; junior standing or greater.
Permission to enroll: No Special Consent Required
Grading mode: Optional Grade Basis
Weekly: Lecture 2 hrs. Laboratory 3 hrs.
Possible Instruction Mode(s): In Person

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