Please check back for when sessions of this class will be offered.
Geoprocessing in ArcGIS
(Model Builder, Python Scripting, Command line)
Geoprocessing for ArcView! Make use of the tools that you have available with your ArcView license in the powerful Model Builder environment for Geoprocessing. In this class you will be exposed to hands-on exercises using local data for incorporation into the Geoprocessing environment of ArcGIS. Model Builder, Python Scripting, and Command Line will be covered for the ArcView users.
Two days
Overview
In this two-day course, students will be introduced to the Geoprocessing environment in ArcGIS. Regional data will be used for the course. Participants learn how to create, share, and modify models for analysis. Labels and Annotation, management of raster data, XML Import/Export, image catalogs, the command line interface to the software and python scripting is introduced.
Audience
This course is for spatial data managers and analysts who have an understanding of the ArcGIS desktop applications and are ready to make use of the Geoprocessing environment of ArcGIS. New and existing data managers interested in migrating to the Geodatabase environment can benefit from taking this course.
Goals
Labels and Annotation
Geodatabase enhancements
Raster data in the Geodatabase
XML Import/Export
Creating/Modifying a model
Distributing a model
Command line interface
Python scripting
Topics covered
Labels Manager
Working with Annotation
Managing Raster data in the Geodatabase
XML Import/Export
Managing models in ArcGIS
Command line interface to ArcGIS
Python scripting introduction
Prerequisites and recommendations
Registrants should have taken Introduction to ArcGIS II, or have equivalent knowledge. Attendees should be familiar with ArcMap and ArcCatalog. It is NOT required that registrants have extensive experience with the Geodatabases before taking this course. The focus of the course is to provide an introduction to the Geoprocessing environment in ArcGIS with hands on exercises using regional data.
Price: $800 (per seat)
