Chapter 6: GIS Data Models

In order to visualize natural phenomena, one must first determine how to represent geographic space best. Data models are a set of rules and/or constructs used to describe and represent aspects of the real world in a computer. Two primary data models are available to complete this task: raster data models and vector data models.

Learning Outcomes

  • Determine how vector and raster data models, satellite imagery, and aerial photography are implemented in GIS applications.
  • Describe the concepts and terms related to the variety of single-overlay analysis techniques available to analyze and manipulate the spatial attributes of the vector feature dataset.
  • Describe the concepts and terms related to the implementation of basic multiple-layer operations and methodologies used on vector feature datasets.
  • Explain basic-single and multiple raster geoprocessing techniques.
  • Describe how local, neighborhood, zonal, and global analyses can be applied to raster datasets.
  • Understand the concepts and terms related to GIS surfaces, how to create them, and how they are used to answer specific spatial questions.
  • Apply basic raster surface analyses to terrain mapping applications.

Chapter Sections

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Introduction to Geographic Information Systems by R. Adam Dastrup, MA, GISP is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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