Practical GIS Analysis
David L. Verbyla
Taylor&Francis 2001
This is a practical guide to solving GIS problems independent of specific
GIS software and hardware. This book will teach you how GIS tools work,
and how you can use them to solve problems in both vector and grid GIS
worlds. You can test your problem-solving abilities by trying the more
than eighty GIS problems (and solutions) presented in this book. If you
want to learn how GIS works, and what kinds of problems you can solve with
GIS, this book is for you.
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Allows you to learn GIS problem solving away from your computer.
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Problem-solving in vector, grid, and image GIS worlds.
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Applications in natural resources: wildlife habitat analysis, forest management,
fisheries management, wildland fire management, remote sensing, watershed
management, and conservation.
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Applications from county/urban problems: real estate query, irrigation
analysis, urban emergency response, address geocoding, street and utility
management, resource allocation, groundwater analysis, auto accident analysis,
parcel analysis, and optimal path analysis.
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Tips on saving time in GIS Analysis.
Chapter 1: GIS Data Model
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Introduction
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Point Themes
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Line Themes
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Network Themes
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Dynamic Segmentation
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Polygon Themes
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Grid Themes
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Image Themes
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Tools For Managing GIS Features
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Tools For Building Attribute Tables
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Exercises
Chapter 2: GIS Tabular Analysis
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Introduction
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Selecting Records
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Descriptive Statistics
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Summarizing Tables
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Other Commonly Used Tabular Tools
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Merging Tables
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Indexing Attributes
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Tabular Analysis Exercises
Chapter 3: Point Analysis
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Introduction
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Area Analysis Tools
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Distance Analysis Tools
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Attribute Analysis Tools
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Point Analysis Exercises
Chapter 4: Line Analysis
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Arcpoint
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Nodepoint
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Countvertices
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Buffer
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Dissolve
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Eliminate
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Line Analysis Exercises
Chapter 5: Network Analysis
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Introduction
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Address Geocoding
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Optimal Routing
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Finding Closest Facilities
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Resource Allocation
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Turn Tables
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Network Analysis Exercises
Chapter 6: Dynamic Segmentation
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Introduction
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Routes and Sections
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Event Types
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Creating Events
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Dynamic Segmentation Exercises
Chapter 7: Polygon Analysis
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Introduction
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Dissolve
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Eliminate
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Clip
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Split
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Erase
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Update
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Spatial Joins: Intersect, Union, Identity
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Polygon Analysis Exercises
Chapter 8: Grid Analysis
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Introduction
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Grid Arithmetic Operators
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Selection Operations: TEST, SELECT, CON
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Grouping Operations: RECLASS, REGIONGROUP
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Distance Operations: EXPAND, EUCDISTANCE
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Optimal Path Operations: COSTDISTANCE, COSTPATH
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Topographic Operations: SLOPE, ASPECT
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Grid Analysis Exercises
Chapter 9: Image Analysis Basics
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Introduction
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Image Display
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Linear Contrast Stretch
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Image Rectification
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The Affine Transformation: Scaling, Translation, Rotation
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Scaling
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Translation
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Rotation
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Rectification Model Errors
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Image Resampling Options
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Unsupervised Classification
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Supervised Classification
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Seed Pixel Training Fields
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Image Classifiers
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Maximum Likelihood Classification
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Classification Accuracy Assessment
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Reference Data
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Error Matrix
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Producer's and User's Accuracy
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Image Analysis Exercises
Chapter 10: Vector Exercises
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Introduction
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Real Estate Application
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Moose Habitat Analysis
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Fire Hydrant Inspection Application
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Forest Fire Application
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Emergency Phone Application
Chapter 11: Grid Exercises
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Introduction
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Real Estate Application
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Watershed Application
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Waterfowl Habitat Analysis
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Groundwater Application
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Moose Habitat Analysis
Chapter 12: Saving Time in GIS Analysis
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Introduction
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Work While You Play
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Avoid Telephone-Tag
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Painless Documentation
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Assume Your GIS Lies
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Less Can Be Better
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GIS Tables Issues
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Do Not Repeat Yourself
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Indexing Features and Attributes
Last modified August 2001
email: D.Verbyla@uaf.edu