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
<https://peportal.maine.edu/psp/PAPRD89/EMPLOYEE/EMPL/h/?tab=PAPP_GUEST>
or contact
Registration Services
<https://usm.maine.edu/registration-services/request-register> (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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