Advance your ArcGIS Desktop skills in this course that teaches how and when to apply ArcGIS tools to create an efficient workflow that supports GIS analysis. Working with data stored in a geodatabase, you will organize and prepare data for analysis, create geoprocessing models, and work through a challenging analysis project. By the end of the course, you will be able to determine which ArcGIS tools and functions to use in a given situation and apply them to your analyses. The skills taught in this course are applicable to all types of GIS analysis.
Audience
GIS analysts, GIS specialists, and other experienced ArcGIS users who want to extend their basic ArcGIS skills in the areas of data creation and editing, geoprocessing models, and GIS analysis.
Goals
Those completing this course will be able to
Add data from different sources to a geodatabase.
Create and use geodatabase components that maintain data integrity and prevent errors during data creation and editing.
Solve common spatial data alignment problems.
Use a variety of geoprocessing tools to perform an analysis that supports decision making.
Build a complex model to automate an analysis workflow.
Topics Covered
Getting data into a geodatabase: Geodatabase elements; Data conversion methods; Importing data through batch and single conversions; Creating feature classes from x,y data; Accessing tabular data using an OLE DB connection.
Geodatabase behavior: Subtypes, domains, and geodatabase topology.
Editing GIS data: Workflow for creating and editing data; Working with editing tools and tasks; Exploding a multipart feature; Generalizing polygons; Editing using domains and subtypes; Finding and fixing errors using topology.
Alligning spatial data: Common data alignment problems; Spatial adjustment methods; Georeferencing workflow; Matching layer boundaries; Appending data layers; Georeferencing CAD data; Converting CAD data to a geodatabase feature class.
Managing geoprocessing tools and settings: Types of toolboxes and tools; Environment settings; Locating tools; Tool parameters; Managing geoprocessing errors, warnings, and results.
Analyzing GIS data: Review of common analysis tools; Extracting data for analysis; Analyzing tabular data; Proximity analysis.
Using ModelBuilder for analysis: Creating and designing models; Model elements, variables, and parameters; Adding tools to a model; Feature layers; Documenting a model.
GIS analysis projects: Analysis process review; Find the best site for a new shelter; Find the mileage of flooded roads.
