A special course offering to learn more about spatial statistical analysis techniques. If you took this course years ago, this offering will be new to you.

Also serves as an elective to USM Certificate in Applied GIS!

Apply techniques from
open-source and proprietary software to explore and address problems in geography, criminology, environmental science & policy, public health, and more. 

See course description below. Act now to save a spot!
Register through MaineStreet Student Self-Service or contact Registration Services (
calling (207) 780-5230 or walk-in works, too)

GEO 458 (undergraduate) or GEO 658
(graduate) Research Applications in GIS
- This course is an advanced workshop in spatial analysis in which students undertake an original research project. The objective of the course is to generate a product which meets professional standards for publication or presentation at a professional meeting, allowing students to build resumes and gain exposure to a professional audience. A variety of software will be used in the course, as projects demand. The starting point will be the open-source geospatial analysis software GeoDa (https://spatial.uchicago.edu/software). This tool provides state-of-the-art methods for geospatial analysis, spatial econometrics, and geo-visualization. Topics covered will include:
1.    Exploratory Spatial Data Analysis
2.    Spatial Autocorrelation Statistics for Aggregate Data
3.    Basic Spatial Regression Analysis for Point and Polygon Data
4.    Univariate and Multivariate Local Gear Cluster Maps
5.    Principle Components Analysis
6.    K-Means
7.    Hierarchical Clustering
8.    Spatial Econometrics

The course is necessarily open-ended and will develop as student projects evolve over the course of the semester.
 
Prerequisite: GEO 308/608 GIS Applications 1 or equivalent
Can be taken concurrently with GEO 408/618 GIS Applications 2

Mondays 4:10PM - 6:40PM, USM Portland Campus, Payson Smith Hall 303 in traditional lecture format
OR
Asynchronously online by arrangement with the instructor.

Dr. Matthew Bampton, Physical Geographer and GIS Researcher
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