Introduction to ArcGIS II (for ArcView, ArcEditor, and ArcInfo) (3 days)

Introduction to ArcGIS II (for ArcView, ArcEditor, and ArcInfo) (3 days)

Overview

This three-day course follows Introduction to ArcGIS I (for ArcView 9, ArcEditor 9, and ArcInfo 9) and continues to present important concepts and functionality for successfully working with ArcGIS. With further exploration of ArcMap, ArcCatalog, and ArcToolbox, attendees focus on spatial analysis, automation of spatial and attribute data, editing, and advanced options for cartographic display and reports. Hands-on exercises teach ArcGIS procedures in the context of solving real-world problems. Examples and exercises use data from a variety of application areas. A portion of the class is reserved for carrying out an analysis project and applying many of the new skills and techniques learned in this course. Attendees conduct queries, perform spatial analysis, and present their results in a hard-copy map and report.

Audience

This course is designed for those with fundamental knowledge of ArcGIS and geographic information systems in general.

Prerequisites and Recommendations

This course is for those who have completed Introduction to ArcGIS I (for ArcView 9, ArcEditor 9, and ArcInfo 9) or Migrating from ArcView 3.x to ArcView 9 (instructor-led or Web-based course). If one of the prerequisite courses is not completed, an attendee should have comparable experience with ArcGIS before taking this course.

The course also provides attendees with the fundamental ArcGIS knowledge and experience needed to enroll in Creating and Managing Geodatabases (for ArcEditor 9 and ArcInfo 9).

Goals

     1. Perform spatial analysis.
     2. Manage geographic data.
     3. Perform geocoding.
     4. Display points and lines from event tables.
     5. Automate data through heads-up digitizing.
     6. Convert data from other formats.
     7. Edit spatial and attribute data.
     8. Create and use metadata.
     9. Produce high-quality maps and reports.

Topics covered

Spatial Analysis and Data Management:

     1. Buffers.
     2. Spatial overlays.
     3. Extracting features for analysis.
     4. Analytical methods and tools.

Geocoding and Display of Dynamic Segmentation:

     1. Address geocoding.
     2. Dynamic display of linear and point events.
     3. Data automation.
     4. Data sources.
     5. Georeferencing.
     6. Digitizing.
     7. Data conversion.

Editing:

1. Tools for creating and editing spatial data.
2. Editing attribute data.

Project Management:

     1. Database organization.
     2. File and directory naming conventions.
     3. Creating and using metadata.

Cartography:

1. Advanced symbology and labeling.

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