Nov 10, 2024  
OHIO University Undergraduate Catalog 2024-25 
    
Catalog Navigation
  Catalog Home
  Mission, Vision and History
  Diversity and Inclusion Commitment
  Advising
  Academic Calendar
  Academic Policies
  Admissions
  Fees and Financial Aid
  General Information
  Graduation Requirements – University-wide
  OHIO BRICKS
  Services for Students
  Arts and Sciences
  Business
  Communication
  Education
  Engineering and Technology
  Fine Arts
  Health Sciences and Professions
  Honors Tutorial
  Leadership and Public Service
  University College
  OHIO Online/eCampus
  Regional Higher Education
  Course Descriptions
  Course Information
  Curricula – Certificates, Major Programs, Minors
  Departments and Schools
  Faculty
  Major, Minor, and Certificate Codes
  Abbreviations
  University Contacts
  Notice of Non-Discrimination and Title IX Coordinator Contact Information
  Copyright and Disclaimer
  My Portfolio
HELP
OHIO University Undergraduate Catalog 2024-25
Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

GEOG 4760 - Advanced Spatial Analysis and GIS Applications

GIS based introduction to advanced spatial analysis and spatial decision making concepts. Understanding how proficiency with GIS and spatial analysis can be readily applied in a wide range of problem solving contexts in the social and natural sciences. Emphasis on spatial uncertainty and how it affects the quality of spatial analysis and spatial decision making.

Requisites: GEOG 3600 or 4660 or 4730
Credit Hours: 4
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Apply spatial statistics to analyze and test the validity of geospatial patterns.
  • Demonstrate operational knowledge of GIS software for advanced spatial analysis methods for vector and raster GIS data.
  • Demonstrate theoretical understanding and practical application of spatial multicriteria analysis methods in GIS based problem solving.
  • Identify spatial uncertainty effects and use appropriate methods to test the impact of such uncertainty on quality of spatial analyses.
  • Recognize the impact of scale, spatial context, and multiple representation in geospatial analysis.


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)