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You will use ArcGIS Spatial Analyst to model a variety of real-world scenarios to create new data, derive new information from existing data, analyze complex terrain attributes, and solve problems.
Examine geoprocessing techniques for raster data analysis. Build map algebra expressions and models to execute geoprocessing workflows and manipulate raster data to make it suitable for analysis.
Learn best practices and workflows to enhance visualization and extract meaningful information from satellite imagery, LiDAR, and other remotely sensed data.
This training course will teach you basics of the Python scripting language and will provide you with a solid foundation to writing Python scripts.
Reduce the time spent on complex and repetitive workflows, so you can focus on GIS work that can't be automated.
This course builds on the concepts taught in Introduction to Geoprocessing Scripts using Python.
This course prepares you to work with Insights for ArcGIS to dynamically visualize and analyze data from multiple sources on maps, charts, tables and more.