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.
- 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.