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


Icon for the Creative Commons Attribution 4.0 International License

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.

Share This Book