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Course Outline

Introduction

Geospatial and Spatial Data

  • Vector vs. Raster data.
  • Metadata.
  • Projections and coordinate systems.

Python Deep Dive

  • Data types.
  • Variables, functions, and conditional statements.
  • Loops and lists.
  • Classes and objects.

ArcPy for ArcGIS

  • Help overview.
  • References for tools and Python.

Setting Up the Development Environment

  • Installation and configuration of ArcGIS Desktop.

Geoprocessing and Workflows

  • Creating a project.
  • Saving code as a script.
  • Working with toolboxes.
  • Creating a custom toolbox.
  • Documenting scripts.
  • Overwriting output.
  • Setting the current workspace and extent in geoprocessing.

ArcPy Package

  • Performing inventory.
  • Listing workspaces, datasets, classes, tables, and fields.
  • Describing and walking through data.
  • Working with geometries.
  • Using arcpy.da.
  • Implementing symbology.
  • Adding and manipulating layers.

Summary and Conclusion

*ArcGIS is a trademark, service mark, and registered mark of Esri in the United States, EU, and other international jurisdictions. Esri has not reviewed this training course for completeness, accuracy, or quality, and as such, does not endorse, sponsor, or affiliate with this training course.

Requirements

  • Prior understanding of ArcGIS.

Target Audience

  • GIS Analysts.
 14 Hours

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