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Advanced Analytic Methods in Geospatial Intelligence
Conditional Remix & Share Permitted
CC BY-NC-SA
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General James Clapper, former United States Director of National Intelligence and the National Geospatial-Intelligence Agency (NGA), once said \everything happens somewhere.\" He stressed that there are aspects of time and place to every intelligence problem. In this course, you will examine how time and place work with general intelligence techniques to create geospatial intelligence. You will learn and apply critical thinking skills, structured analytical techniques, and other intelligence methods in a geospatial context. You'll also learn how to reduce personal and organizational bias by conducting an Analysis of Competing Hypotheses, by R. Heuer, a 45-year veteran of the CIA. As a result, you will be better prepared for the world of geospatial intelligence analysis."

Subject:
Applied Science
Information Science
Material Type:
Full Course
Provider:
Penn State University
Provider Set:
Penn State's College of Earth and Mineral Sciences (http:// e-education.psu.edu/oer/)
Author:
Dennis Bellafiore
Todd Bacastow
Date Added:
04/25/2019
Location Intelligence for Business (GEOG 850)
Conditional Remix & Share Permitted
CC BY-NC-SA
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Do you enjoy the competitive challenge of starting up a new business or expanding into new areas? Are you involved in economic and community development? Are you considering the best place to work and live? Do you like to gain an advantage? Location Intelligence for Business extends the application of geospatial intelligence analytical methods to the business world for competitive advantage. You will have an opportunity to understand and apply location technologies, geospatial analysis, and business geography (demographics and psychographics) to support competitive business decision-making. You will uncover and explore the key geospatial principles involved in site selection, market analysis, risk and crisis management, logistics, and transportation by solving those problems with available geospatial tools and data.

Lesson 1: Introduction to Location Intelligence
Lesson 2: Business Modeling and Market Segmentation
Lesson 3: GIS and Geospatial Analytical Modeling
Lesson 4: Competitive Factors in Business
Lesson 5: Risk Assessment Factors
Lesson 6: Risk Assessment Case Study: Location Intelligence to Support AML/CTF Investigations
Lesson 7: Sector Applications of Location Intelligence, Part 1
Lesson 8: Sector Applications of Location Intelligence, Part 2
Lesson 9: Emerging Trends and Technologies
Lesson 10: Term Project

Subject:
Earth Science
Physical Science
Material Type:
Full Course
Reading
Author:
Dennis Bellafiore
Date Added:
03/27/2020