Jean-Paul Rodrigue

Transportation, Logistics & Freight Distribution

Jean-Paul Rodrigue

GEOG 160 – Intermediate Geographic Information Systems

NOTE: The following is an archive of the class material I offered as a Professor at Hofstra University (1999-2024).

This course expands the GIS foundations, concepts, and application techniques already acquired in the introductory course. It mainly focuses upon the professional applications of the GIS technology as well as the understanding of more advanced spatial analysis functions such a digitizing, geocoding, classification, and overlay analysis.

Intermediate Geographic Information Systems (GIS) provides mid-level training in GIS, including map-making, performing fundamental geographic analysis, geographic data management, and ethical questions faced by GIS practitioners. A GIS is used to encode, store, analyze, and report geographic data for a wide variety of social, economic, environmental, medical, urban, governmental, and business, among others. The 160 course provides training in professional GIS practices of basic map design, the structure of vector data and raster data, geographic data acquisition, networking and geographic data storage, editing vector data, intermediate spatial reference issues, conducting fundamental spatial analyses with vector and raster data, and answering geographic questions based on those analyses. This course is designed to provide you with a working knowledge of the practices and methods of GIS.

The student is expected to become proficient in applying GIS to analyze problems in a wide array of fields.

The general goals of the course are:

  • Providing intermediate GIS conceptual knowledge.
  • Acquiring intermediate GIS application skills.
  • Expand proficiency in GIS tasks such as digitizing, geographic database management, thematic mapping, and spatial analysis.
  • Mastering the usage of the ArcMap GIS software for professional and scientific purposes.

Topics

NOTE: Material currently not available.

  • GIS Fundamentals
  • Cartographic Design
  • Attribute Data
  • Metadata and Data sources
  • Digitizing and Topology
  • Vector Analysis
  • Geocoding
  • Spatial Reference
  • Raster Data
  • Raster Overlay Analysis