ESRI Instructor-Led Training 

Working with ArcGIS Spatial Analyst.
Three days.              Cost: $995.00      Dates: April 4th – 6th, 2007.
Hours: 9:00 AM to 4:30 PM.     Location:  CompUSA – Altamonte Springs, Fl. 

Overview 
Explore how the ArcGIS Spatial Analyst software extension uses raster and vector data in an integrated environment. This course teaches basic raster concepts and shows how to use ArcGIS Spatial Analyst tools to create, run, and edit spatial models. It focuses on problems that are best solved in a raster environment such as surface analysis and distance measurement. Participants are shown how to use the raster tools in ArcGIS Spatial Analyst and learn how to build grid-based datasets.  
Audience 
This course is for those who want to learn how to use ArcGIS Desktop applications to conduct raster-based analysis, conversion, and editing. 
Prerequisites and recommendations 
Completion of Introduction to ArcGIS I (for ArcView 8, ArcEditor 8, and ArcInfo 8) or equivalent experience is required. Programming knowledge is not necessary.  
Participants in this course should know the following: 
Basic operating system skills (copying, deleting, and moving files and directories)  
Adding, renaming, and deleting themes  
Setting data frame properties (map and distance units, projection)  
Displaying layers in ArcMap 
Using ArcGIS menus, buttons, and tools 
Performing queries  
Selecting records in layers tables 
Using ArcGIS online help 
Goals 
Understand the raster data models Learn the ArcGIS Spatial Analyst interface Convert data to raster format and build raster databases Learn many of the map algebra functions  Use ArcGIS Spatial Analyst for distance modeling Interpolate surfaces from sample points  Perform surface hydrology functions. Apply basic modeling concepts Implement models  
Topics covered 
Basics of ArcGIS Spatial Analyst: Overview of the extension; Understanding raster concepts; ArcGIS Spatial Analyst interface; Comparing raster themes and feature themes; Querying raster themes  
Structure of raster themes: How to create raster datasets; Raster storage and management 
Aligning themes: Raster registration and geo referencing; How projection affects analysis; Importing and exporting raster datasets 
Conducting surface analyses: Calculating density; Choosing an interpolation method; Interpolating a continuous raster from sample points; Contours and hill shading; Visibility analysis 
Map algebra functions: Writing expressions; Expression syntax 
Calculating distance measurements: Euclidean distance; Cost–distance; Finding the least-cost path 
Surface hydrology: Identifying watershed basins; Determining surface runoff characteristics 
Designing and implementing GIS models: Spatial modeling concepts and issues 
Price 
ESRI Site: $1,350 (per seat)  Client Site: $10,500 (per class; up to 12 participants)
When attending classes at ESRI facilities, special pricing is available for employees of the United States federal government and qualifying educational institutions, libraries, and museums. Contact the ESRI Learning Center for eligibility requirements. Employees of the United States Federal government are entitled to special pricing for client-site training classes. Current authorized ESRI Business Partners are eligible for a discount on courses offered at ESRI sites in the United States only (discount does not apply to client-site classes).
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Course Outline: 
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Getting started with ArcGIS Spatial Analyst 
Benefits of raster GIS  ArcGIS raster support Spatial Analyst tools  Seven interfaces for Spatial Analyst  Spatial Analyst toolbar Spatial Analyst and ArcToolbox  Spatial Analyst and Command Line  Spatial Analyst and Model Builder Spatial Analyst and scripts  Spatial Analyst and Arc Objects Spatial Analyst and Map Algebra  Managing the extension Resources for self-study  
Raster concepts 
Geography as raster Features as raster. Raster coordinate systems Raster resolution Raster cell coincidence  Raster re-sampling Raster registration Raster cell values  Raster attribute tables  Raster zones and regions Raster formats Raster format essentials Image formats  ESRI grid format Analysis environments Setting output cell size  Setting output extent Setting snap raster  Setting analysis mask  Setting output projection Setting geo processing environments  Setting toolbar environments  
Building a raster database 
Roadmap 4A: Building a raster database ESRI Data Models Data sources Rasters in ArcCatalog Geoprocessing: Raster management tools Raster spatial reference Raster compression Merging rasters. Rasters in an ArcSDE geo database Rasters in a personal geo database Geodatabase raster datasets Geodatabase raster catalogues Image formats General properties: Pyramids General properties: Statistics Raster rendering.  Re-sampling and color ramp stretching  Raster conversion tools Conversion on the fly  Converting features to raster  Converting raster to features  Projecting rasters with ArcMap  Projecting rasters with geo processing tools Geometric transformation tools  Georeferencing a raster Georeferencing steps Georeferencing toolbar Adding links Assessing link accuracy Transforming the raster Rectification process Rectification must resample 
Map Algebra 
Map Algebra: The language of raster Expression syntax rules Expression evaluation Map Algebra objects  User attributes in expressions Special cell values in Map Algebra Map Algebra operators Examples of operators Multi Output Map Algebra tool  Single Output Map Algebra tool  Map Algebra versus Model Builder Spatial Analyst commands  Map Algebra functions  Function syntax rules  Local functions Focal functions  Focal neighborhoods Neighborhood notation Zonal functions  Global functions  CON function Working with No Data
Raster processing tools 
Why raster processing  
Tool locations 
Extract and Sample 
Resample 
Aggregate 
Block Statistics  
Expand  
Shrink 
Boundary Clean  Thin Majority Filter Nibble Region group Multivariate Statistics  
Interpolation tools 
Creating surfaces 
Functional surface 
What is interpolation?  
Linear interpolation 
Sampling a surface 
Controlling sample points  
Barriers to interpolation 
ArcGIS interpolation tools  
Inverse Distance Weighted (IDW)  
IDW parameters 
Natural Neighbors 
Spline 
Choosing a spline type  
Trend 
Kriging  
Kriging models 
Topo to Raster 
Visual comparisons of Interpolators  
Feature density estimation 
Testing your surface  
Surface analysis tools 
Road map: Surface analysis tools Sources of topographic data Surface conversion Using surfaces in ArcGIS Spatial Analyst  Contour tool  Slope tool  Aspect tool Curvature  Hillshade tool  Visibility analysis  Visibility tools Controlling visibility in a view shed  
Hydrologic tools 
ArcHydro Data Model Surface hydrology tools Roadmap: Surface hydrology  
Topographic surfaces  Topo to Raster tool  Identifying and filling sinks Flow Direction tool  Flow Accumulation tool  Creating streams Stream Order tool  Stream Link tool  Creating basin IDs for streams Stream to Feature tool Roadmap: Basins and watersheds Defining watersheds and basins Snap Pour Point tool Roadmap: Other operations Flow Length tool  Performing a raindrop trace Groundwater hydrology tools  Roadmap: Groundwater hydrology  Groundwater tool limitations Darcy Flow tool  Particle Track tool Porous Puff tool 
Distance tools 
Distance tools Roadmap: Euclidean distance  Euclidean tools output Calculating Euclidean distance  Euclidean direction and allocation  Weighted distance measurement  Roadmap: Weighted distance process Creating the cost surface Calculating travel costs  Accumulated travel cost output Backlink output Allocation output Roadmap: Path Distance tools Path Distance tool Roadmap : Cost Path tool  Finding paths  Roadmap: Corridor tool  
Building models 
Modeling spatial problems  Types of models  Binary suitability models
Weighted suitability models  Weighted suitability methodology  Define the model  Break big models into sub-models Decide how to measure the issues  Data types and math in modeling  Define a scale of suitability Determine suitability and weights Convert measures into suitability  Reclassify tool Reclassify with equations Weight and combine the layers  Weighted Overlay tool Find the best locations Building models with Model Builder Model elements Running a model Setting tool parameters  Setting model parameters Setting derived data properties  Setting diagram properties Setting model properties  Saving, exporting, and printing a model  
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Last Updated: Friday, May 19, 2006