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Course Catalog

140.662.01 SPATIAL ANALYSIS AND GIS I

Department: Biostatistics
Term: 3rd term
Credits: (3 credits)
Contact: Frank Curriero
Academic Year: 2012 - 2013
Course Instructor:
Description:

Examines the use of Arc View Geographic Information System (GIS) software as a tool for integrating, manipulating, and displaying public health­-related spatial data. Topics covered include mapping, geocoding, and manipulations related to data structures and topology. Uses selected case studies to demonstrate concepts. Focuses on using GIS to generate and refine hypotheses about public health­-related spatial data in reparation for a formal statistical analysis. Although spatial statistical modeling is not a required part of the curriculum, related topics are discussed throughout. Includes both lecture and lab formats with GIS concepts and software specific details demonstrated during the lab portions.
Student Evaluation: Method of student evaluation based on assignments and an exam
Learning Objective:

Upon completion of this course students will be able to: 1) conduct GIS spatial analysis by inputting, manipulating, querying, and displaying spatial data with use of the ArcGIS software; 2) perform Geocoding and create appropriate maps for the different types of spatial data; 3) identify the key differences between a GIS spatial analysis and a spatial statistical analysis.
Location: Baltimore
Class Times:
  • Tuesday 1:30 - 2:50
  • Thursday 1:30 - 2:50
Enrollment Minimum: 10
Enrollment Maximum: 70
Instructor Consent: No consent required
For consent, contact: fcurrier@jhsph.edu
Prerequisite:

140.611-612 or statistical equivalent
Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: PrimaryInstructor2, .01/31/2013; PrimaryInstructor2, .01/31/2013; EnrollMin, EnrollMax, StartingOfferYear, .01/10/2013; EnrollMin, EnrollMax, CourseOfferRationaleNote, .01/10/2013; EnrollMin, EnrollMax, TargetAud, CourseLocation, CourseFormat, IRBSurvey, AuditorsAllowedId, ExpectedEnrollNumber, JointlyOffered, DeptCoList, CourseOfferRationaleNote, ScheduleTypeId, LabScheduleTypeId, .11/11/2011;
Jointly Offered With:
Special Comments: The use of personal laptops to follow along is strongly encouraged. A time restricted free version of the software is available with the required text. A limited number of laptops are available during class to be shared when needed.