TeachMeGIS curriculum, KCGIS Center instructor
Raster datasets (images, grids, surfaces) are used in many geoscience applications. Satellite and aerial images, bathymetry, and surfaces can be viewed in ArcMap along with the rest of your GIS data. The ArcGIS Spatial Analyst extension contains tools for creating, managing, and analyzing these raster datasets. By learning to effectively display them in the map, and understanding the data behind the images, you can tap into these rich data sources and perform advanced locational analysis not available elsewhere.
This class is for people who are comfortable with ArcGIS and want to learn about raster data and the Spatial Analyst extension, including, but not limited to, geologists, geophysicists, geoscience technicians, and GIS analysts.
- Introduction to Raster Data
- What raster data looks like in ArcGIS
- Why you would use raster data
- Raster vs. vector
- Spatial Analyst applications
- Raster storage structures
- Spatial Analyst Extension
- Raster processing overview
- Raster File Formats
- How raster data is stored
- Understanding the different raster formats supported by ArcGIS
- Raster file formats
- Image bit depth
- Adding raster files
- ArcGIS GRID
- Native data read/write
- Geodatabase rasters
- Raster-associated files
- Raster Display Settings
- How to improve the display (colors, clipping, brightness, etc.) of rasters in the map
- Scale-dependent display
- Temporarily clip
- Effects toolbar
- Layer properties
- Raster layer renderers
- Eliminating the background
- Image Analysis window
- Accelerated rendering
- Raster Creation
- Create a surface from different sources, including point data
- Surface points
- Coincident points
- Raster interpolation methods
- Geostatistical analyst
- Surface Tools
- Analyze surface rasters to determine slope, line of sight, cut and fill, etc.
- Create contour lines from an elevation raster
- Generate slope, aspect, and hillshade rasters
- Map Algebra
- Use the Raster Calculator to perform calculations on rasters for complex mathematical equations
- Combine raster datasets for analysis; for example, subtract a formation top from a formation bottom to create an isopach
- Incorporate Python to use Spatial Analyst tools and create raster output (Map Algebra overview; Conditional, IsNull, and SetNull statements; Focal Statistics functions; Raster Calculator; Python scripting window; Raster objects and non-raster output; Spatial Analyst classes)
- Raster Analysis
- Use raster data to infill missing data in a well attribute table by overlaying the well spots with the raster (Environment Settings, Processing Order, Clip, Rasters with Functions, Merge, Nibble, Region Group, Cell Statistics, Extract Values to Points)
- Perform cost distance analysis and suitability modeling
- Raster Catalogs and Mosaicked Raster Datasets
- Compare different types of datasets that consist of many raster images combined into one (managed vs. unmanaged raster data, raster catalogs, mosaicked raster datasets)
- Take scanned images and place them in the correct spatial location so they can be displayed in ArcMap (georeferencing an image, assessing error, Update Georeferencing vs. Rectify, resampling)
Prerequisites and Recommendations
Students should have knowledge of Microsoft Windows® and be familiar with the basic use of ArcGIS, including the topics covered in the Fundamentals of ArcGIS class.
What You Will Receive
- 15 hours of instruction from a subject-matter expert.
- Use of a student PC while in class, with appropriate GIS software and access to training data.
- A TeachMeGIS student workbook (to keep) which includes the lecture slides, exercises, and a DVD of the training data.
- Upon completion, a signed completion certificate which will indicate the CEUs (1.5) and GISCI points (0.375) earned.
- KCGIS Center’s 30 for 30 Support—30 minutes of one-on-one instructor phone within 30 days after class completion. This is our commitment to you to help ensure that you can apply your new GIS skills successfully.