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King County GIS Center
King Street Center
201 S. Jackson St.
Suite 706
Seattle, WA 98104
giscenter@kingcounty.gov

47.59909 N
122.33136 W

47° 35' 56.72" N
122° 19' 52.90" W

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Effective GIS Analysis: A Tour of GIS Tools

Catalog Calendar Prices Register

Half-Day Class: 1:00pm–5:00pm

Status: registration & fee required

GISCI educational achievement points: 0.1

Location: King Street Center, Computer Training Room

April 7, 2010 Register

Overview

As ArcGIS analysis techniques become more robust and specialized, they also become more and more complex. Many basic features become obscured in the nearly overwhelming environment of toolbars and toolboxes. This half-day course is a survey of the ESRI Analysis Tools ArcToolbox which provides a powerful set of tools to perform the various geoprocessing operations on all types of vector data. The instructor will conduct a detailed walk through each tool in the toolbox with demonstrations of the most widely applied tools. The course culminates in an exercise designed to show in detail how to use the analysis tools to create meaningful data and reports.

The course developers and instructors regularly apply the techniques taught in this class to a large and complex data set. They know what works, what doesn't, and how to make the best use of time spent while doing GIS analysis; they impart that knowledge to the students in a straightforward manner with demonstrations and hands-on exercises that use real world (King County) data.

Audience

Effective GIS Analysis is designed for GIS users who want to improve their analysis techniques.

Goals

  • Students will learn to extract features and attributes from a feature class or a table based on attribute queries or spatial extraction and stores them in a new shapefile or geodatabase feature class.
  • Students will learn to overlay multiple feature classes to combine, erase, or update spatial features into a new feature class.
  • Students will learn to determine the proximity of spatial features within a feature class or between two feature classes.
  • Students will learn to perform standard statistical analysis on attribute data.

Topics Covered

  • Extraction Tools: Clip, Select, Split, and Table Select.
  • Overlay Tools:  Identity, Intersect, Union, and Update
  • Proximity Tools:  Buffer, Near, and Point Distance
  • Statistical Tool:  Frequency and Summary Statistics.

Prerequisites and Recommendations

Students should be familiar with basic GIS theory, and the general functionality of ArcCatalog and ArcMap.