Course Assignment Descriptions
Working with tabular location data to reference a location on the earth.
Importing, georeferencing and converting AutoCad data into ArcMap.
Creating an association with two tables so that all data and be utilized.
Working with US Census Bureau Data and Tigerline shapefiles in ArcMap.
Spatial Pattern Analysis
Statistical analysis, probability and distribution in pattern analysis.
Working with linear data features in an X-Y spatial environment.
Using training samples in ArcMap to classify raster data.
Raster Data - Site Selection
Using weighted overlay and fuzzy logic for site selection.
Creating an efficient workspace with custom toolbars, menus and third-party applications.
Brief summaries of each course assignment.
GIS 520 is one of the required core courses for the graduate certificate in Geospatial Information Science, which speaks to its importance. The complexity and intricacies of problems solved in this class gives students a comprehensive skill-set with which to solve spatial problems. One learns not only a variety of techniques, like statistical methods and working with various data types, but how to approach these issues for a successful outcome.
In many areas, remote sensing intersects with GIS 520, particularly with raster images, image classification, site suitability and linear referencing. This class has given me the confidence that no matter what job I have upon graduating, I'll be able to plan and follow through in solving complex spatial problems.