Training Course:ArcGIS Spatial Analyst for Geospatial IntelligenceSchool/Trainer:ESRI Training and Education
Chicago, Charlotte, Danvers, Honolulu, Houston, New York, San Antonio, Sacramento, Tampa, United States
Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced
Course Description:
'' Raster data and ArcGIS Spatial Analyst: Why raster?; Discrete and continuous data; ArcGIS raster tools and capabilities; ArcGIS Spatial Analyst; Map algebra and the Raster Calculator.
Raster concepts: Input and output formats; Grid data model; Raster coordinate systems; Raster generalization; NGA data formats and coordinate systems; Registration and georeferencing; Cell coincidence; Resampling; Zones and regions; Grid attributes; Analysis environment; Setting projection, cell size, extent, and mask.
Map algebra: Language components; Syntax and rules; Objects; Operators; Commands; Functions.
Building a raster database: Data management and storage; Locating data; Data conversion; Raster processing; Storage; Georeferencing process; Setting links; Assessing accuracy; Saving the transformation; Projecting rasters.
Surface creation: Sampling methods; Creating continuous surfaces; Interpolation; Density surfaces in GIS; Interpolators (Inverse Distance Weighted, Spline, Trend, Kriging); PointInterp.
Topographic analysis: Data sources; Surface conversion; Contouring; Derive slope; Derive aspect; Curvature; Hillshade; Visibility analysis; Controlling visibility in a viewshed.
Hydrologic modeling (optional): Creating hydrologically correct topographic surfaces; Processing flow; Identifying and filling sinks; Flow direction; Stream networks; Drainage basins; Flow length; Tracing raindrops.
Distance tools: Euclidean distance, direction, and allocation; Weighted distance inputs, cost distance, cost path, and corridors.
Building models: Types of models; Binary suitability; Weighted suitability; Methodology; Defining the model; Developing measures and weights; Reclassifying layers into suitability; Weighting and combining the layers; Postprocessing the output.
Security threat exercise: Description; Relevant concepts; Analysis environment; CON function; POW function; Creating the risk surface; New intelligence; Building a viewshed; Controlling visibility in the viewshed; Euclidean distance; Weighted distance; Finding paths; Setting the analysis mask.
Presenting results: ArcGIS 3D Analyst; 3D data; Creating 3D data; ArcScene navigation; Displaying 3D data; Scene properties; Layer properties; TIN symbology.
...''
Elements of this syllabus are subject to change.
Please go to the school's official website for training price and schedule:
http://training.esri.com/
Phone:888-377-4575
School Address:
380 New York Street
Redlands, CA 92373-8100
Jobs & Resumes: Chicago, Charlotte, Danvers, Honolulu, Houston, New York, San Antonio, Sacramento, Tampa
Houses & Roommates: Chicago, Charlotte, Danvers, Honolulu, Houston, New York, San Antonio, Sacramento, Tampa
Travel Agencies: Chicago, Honolulu, Houston,
Search other schools for ArcGIS Spatial Analyst for Geospatial Intelligence training resources.
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Managing Editing Workflows in a Multiuser Geodatabase
QA/QC for GIS Data
ArcGIS Network Analyst
ArcGIS Schematics
ArcGIS Spatial Analyst
CAD Data in ArcGIS Desktop
Cartographic Representations
Geometric Networks for Utilities
Advanced Geoprocessing Scripts Using Python
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