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Geographic Information Systems
Introduction to GIS
Spatial Analysis and Synthesis with Gis
Spatial Analysis and Synthesis with Gis
Curriculum
17 Sections
156 Lessons
10 Weeks
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Chapter 6: Analysis of GIS Data by Simple Examination
9
1.1
Information
1.2
Computer Hardware—What a Computer Does
1.3
Continuous and Discrete Phenomena
1.4
Some Implications of Discrete Representation for GIS
1.5
Scientific Notation, Numerical Significance, Accuracy, and Precision
1.6
Precision vs. Accuracy
1.7
Basic Statistics
1.8
Putting Values into Classes
1.9
Measurement Scales
Step-by-Step
28
2.1
Examining the Toolbars
2.2
Pointing at Records
2.3
Two Windows Are Available for Selecting
2.4
Selecting Records (and, Thereby, Features)
2.5
Looking at the Other Capabilities of the Options Menu
2.6
Selecting Features (and, Thereby, Records)
2.7
Quick Selection of Features
2.8
Selecting by Location
2.9
Reviewing and Understanding Actions on the Table of Contents
2.10
Layers and the Data Frames
2.11
Changing Layer Properties
2.12
Thinking about Maps Again
2.13
Classification (or Categorization) and Symbolization
2.14
User Selection of Classes
2.15
A More Careful Look at Equal Intervals
2.16
Defined Interval
2.17
Quantiles
2.18
Standard Deviation
2.19
Natural Breaks
2.20
Normalization
2.21
Using Charts and Graphs
2.22
Making a Layout
2.23
Obtaining Data from the U.S. Bureau of the Census
2.24
Converting the Census Data Spreadsheet to dBASEIV Format
2.25
Using TIGER-Based Street and Block Shapefiles from Esri
2.26
Assessing What We Have and What We Need to Solve the Problem
2.27
Converting the Relevant Files to Cartesian Coordinates
2.28
Finally
Chapter 7: Creating Spatial Feature Classes Based on Proximity, Overlay, and Attributes
5
3.1
Generating Features Based on Proximity: Buffering
3.2
Generating Features by Overlaying
3.3
Overlaying with Line and Point Feature Classes
3.4
Spatial Joins in General
3.5
Deriving Feature Classes by Selecting Attributes: Extraction
Step-by-Step
15
4.1
Using ArcToolbox to Make Buffer Zones around the Roads
4.2
Variable-Width Buffers
4.3
Make a New Feature Class from a Subset of Polygons: Extract
4.4
More Complex Queries—And’s and Or’s
4.5
Other Polygon Spatial Joins: Intersect and Identity
4.6
The Getrich Saga
4.7
Deriving Information by Combining Tables
4.8
Overlaying the Feature Classes
4.9
Create a Python Script from the Gold Model
4.10
Modify the Python Script from the Gold Model
4.11
Execute the Python Script
4.12
Understanding Dissolve
4.13
Making New Sites that Including the COST_HA Field
4.14
Considering the Site Eccentricity Criterion
4.15
Making a Model of the Wildcat Boat Solution
Chapter 8: Spatial Analysis Based on Raster Data Processing
36
5.1
A Really Different Processing Paradigm
5.2
Facts about Rasters
5.3
Coordinate Space
5.4
Rasters with Integer Cell Values
5.5
Rasters with Floating-Point Values
5.6
What Is Raster Storage and Processing Good For?
5.7
Rasters and Features
5.8
Rasters: Input, Computation, and Output
5.9
Where Raster Processing Shines: Cost Incurred Traveling over a Distance
5.10
Proximity Calculation with Rasters
5.11
Human Activity, Cost, and Distance
5.12
Euclidean Distances on the Raster
5.13
Euclidean Distance and the Spatial Analyst
5.14
Proving Pythagoras Right
5.15
Finding the Closest of Multiple Source Cells
5.16
Excluding Distances beyond a Certain Threshold
5.17
Other Factors That Influence Cost
5.18
The Cost Distance Mechanism
5.19
The Cost Distance Calculation
5.20
Path Calculation in Euclidean Distance and Cost Distance
5.21
Understanding How Total Costs Are Calculated
5.22
Getting More Information: Paths and Allocations
5.23
Direction and Allocation Rasters for Euclidean Distance
5.24
Direction and Allocation Rasters for Cost Distance
5.25
A Major Application of Raster Processing: Hydrology
5.26
Basic Surface Hydrology
5.27
Basic Surface Hydrology Concepts
5.28
Calculating Flow Direction
5.29
The Ultimate Destination of Water Is Off the Raster Area
5.30
Flow Accumulation: Drainage Delineation and Rainfall Volume
5.31
Nonuniform Rainfall
5.32
Calculating the Length of a Potential Linear Water Body
5.33
Assigning Identities to Streams
5.34
Vector vs. Raster Representation
5.35
Assigning Orders to Stream Links
5.36
Watersheds and Pour Points
Step-by-Step
30
6.1
The Raster Calculator—Integer Rasters
6.2
Arithmetic Calculation
6.3
Boolean Operations
6.4
Floating-Point Rasters
6.5
Setting the General and Raster Environment
6.6
Converting Features to Rasters
6.7
Creating Rasters with Linear Features
6.8
Buffering with Spatial Analyst (Maybe)
6.9
Buffering—Plan B
6.10
Reclassifying the Data
6.11
Adding the Rasters with the Raster Calculator
6.12
Converting Zones to Regions to Find Individual Sites
6.13
Points and Density
6.14
Thiessen, Dirichlet, Voronoi (and, of course, Decartes)
6.15
Making a Raster Showing Straight-Line Distances to a Single Place
6.16
Examining Many Source Cells and the Capping Distance
6.17
Developing a Raster with Cost Distance
6.18
Creating Direction and Allocation Rasters
6.19
Using Cost Distance to Make Direction and Allocation Rasters
6.20
Calculating a Least-Cost Path from “A” to “B”
6.21
Setting Things Up
6.22
Preparing to Create a Cost Surface
6.23
Building a Cost Surface
6.24
Improving the Understandability of the Map
6.25
Examining the Surface with Various Spatial Analyst and 3D Tools
6.26
Determining the Stream Channels
6.27
Calculating Stream Order
6.28
Numbering Each Stream Individually
6.29
Identifying Basins
6.30
Finding Pollution Culprits
Chapter 9: Other Dimensions, Other Tools, Other Solutions
1
7.1
Two Different Third Dimensions: The Temporal and the Vertical Spatial
The Third Spatial Dimension
3
8.1
3-D: 2-D (Spatial) Plus 1-D (Spatial)
8.2
ArcScene
8.3
ArcGlobe
The Third Spatial Dimension
12
9.1
An (Almost) New Software Package: ArcScene
9.2
ArcScene
9.3
What’s 3-D and What’s Not
9.4
Viewing 3-D Data with Animation
9.5
Making a TIN and Other 3-D Representations of Elevation
9.6
Creating DEM files with Kriging
9.7
Creating a Map of Contour Lines
9.8
Two-and-a-Half Dimensions (2.5-D): Calculating Volumes
9.9
Calculating a Volume with ArcGIS
9.10
Other Neat Stuff You Can Do with 3D Analyst: Viewshed and Hillshade
9.11
A Closer Look at ArcGlobe and Adding Data to It
9.12
Making a Terrain
The Time Dimension: OVERVIEW
1
10.1
3-D: 2-D (Spatial) Plus 1-D (Temporal)
The Time Dimension: STEP-BY-STEP
1
11.1
Sliding through Time—Seeing Changes in Features at Intervals
Address Geocoding: OVERVIEW
4
12.1
A Second Fundamental Way of Defining Location
12.2
TIGER/Line Files
12.3
Precision of the Geographic Coordinates in TIGER Files
12.4
Address Locators
Address Geocoding: STEP-BY-STEP
5
13.1
Finding the Geographic Position of an Address “Manually”
13.2
Making an Address Locator
13.3
Finding the Geographic Position of an Address “Automatically”
13.4
TIGER Files and ZIP Codes
13.5
More to Know—More Information Available
Analysis of Networks: Overview
1
14.1
Analysis of Networks: Overview
Analysis of Networks: Step-by-step
2
15.1
Finding the Shortest Route to a Facility
15.2
Allocating Territories to Facilities
Linear Referencing: Overview
1
16.1
Linear Referencing: Overview
Linear Referencing: STEP-BY-STEP
2
17.1
Intersecting Route Events
17.2
What’s Not Covered Here
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