Introduction | p. 1 |
Introduction to Automated Geography | p. 3 |
Learning Objectives | p. 4 |
Why Geographic Information Systems? | p. 4 |
What Are Geographic Information Systems? | p. 7 |
Where Do I Begin? | p. 14 |
Terms | p. 16 |
Review Questions | p. 16 |
References | p. 16 |
Geographic Data, Maps, and Automation | p. 19 |
Spatial Analysis: The Foundation of Modern Geography | p. 21 |
Learning Objectives | p. 23 |
Developing Spatial Awareness | p. 23 |
Spatial Elements | p. 25 |
Spatial Measurement Levels | p. 29 |
Spatial Location and Reference | p. 31 |
Spatial Patterns | p. 34 |
Geographic Data Collection | p. 37 |
Populations and Sampling Schemes | p. 43 |
Making Inferences From Samples | p. 46 |
Terms | p. 48 |
Review Questions | p. 48 |
References | p. 49 |
The Map as a Model of Geographic Data: The Language of Spatial Thinking | p. 50 |
Learning Objectives | p. 51 |
Map as Model: The Abstraction of Reality | p. 52 |
A Paradigm Shift in Cartography | p. 53 |
Map Scale | p. 55 |
More Map Characteristics | p. 57 |
Map Projections | p. 57 |
Grid Systems for Mapping | p. 61 |
The Cartographic Process | p. 68 |
Map Symbolism | p. 69 |
Map Abstraction and Cartographic Databases | p. 73 |
Some Problems Related to Specific Thematic Maps | p. 74 |
Soil Maps | p. 74 |
Zoological Maps | p. 76 |
Digital Remote Sensing Imagery | p. 76 |
Vegetation Maps | p. 79 |
Historical Maps | p. 80 |
Terms | p. 81 |
Review Questions | p. 81 |
References | p. 82 |
Cartographic and GIS Data Structures | |
Learning Objectives | p. 85 |
A Quick Review of the Map as an Abstraction of Space | p. 86 |
Some Basic Computer File Structures | p. 88 |
Simple Lists | p. 88 |
Ordered Sequential Files | p. 89 |
Indexed Files | p. 90 |
Computer Database Structures for Managing Data | p. 92 |
Hierarchical Data Structures | p. 92 |
Network Systems | p. 94 |
Relational Database Management Systems | p. 95 |
Graphic Representation of Entitites and Attributes | p. 98 |
GIS Data Models for Multiple Coverages | p. 102 |
Raster Models | p. 103 |
Compact Storing of Raster Data | p. 107 |
Vector Models | p. 109 |
Compacting Vector Data Models | p. 115 |
A Vector Model to Represent Surfaces | p. 116 |
Hybrid and Integrated Systems | p. 117 |
Terms | p. 120 |
Review Questions | p. 121 |
References | p. 122 |
Input, Storage, and Editing | p. 125 |
GIS Data Input | p. 127 |
Learning Objectives | p. 128 |
The Input Subsystem | p. 129 |
Input Devices | p. 129 |
Raster, Vector, or Both | p. 134 |
Reference Frameworks and Transformations | p. 134 |
Map Preparation and the Digitizing Process | p. 137 |
What to Input | p. 139 |
How Much to Input | p. 141 |
Methods of Vector Input | p. 143 |
Methods of Raster Input | p. 144 |
Remote Sensing as a Special Case of Raster Data Input | p. 147 |
External Databases | p. 151 |
Terms | p. 153 |
Review Questions | p. 154 |
References | p. 155 |
Data Storage and Editing | p. 157 |
Learning Objectives | p. 158 |
Storage of GIS Databases | p. 159 |
The Importance of Editing the GIS Database | p. 161 |
Detecting and Editing Errors of Different Types | p. 163 |
Entity Errors: Vector | p. 163 |
Attribute Errors: Raster and Vector | p. 170 |
Dealing with Projection Changes | p. 173 |
Joining Adjacent Coverages: Edge Matching | p. 174 |
Conflation and Rubber Sheeting | p. 176 |
Templating | p. 177 |
Terms | p. 178 |
Review Questions | p. 178 |
References | p. 179 |
Analysis: The Heart of the GIS | p. 181 |
Elementary Spatial Analysis | p. 183 |
Learning Objectives | p. 184 |
Introduction to GIS Spatial Analysis | p. 185 |
A Simple Analysis Framework | p. 186 |
GIS Data Query | p. 187 |
Navigating the GIS | p. 187 |
Locating and Identifying Spatial Objects | p. 190 |
Defining Spatial Characteristics | p. 191 |
Point Attributes | p. 192 |
Line Attributes | p. 194 |
Area Attributes | p. 196 |
Working with Higher-Level Objects | p. 198 |
Higher-Level Point Objects | p. 199 |
Higher-Level Line Objects | p. 202 |
Higher-Level Area Objects | p. 205 |
Terms | p. 206 |
Review Questions | p. 206 |
References | p. 207 |
Measurement | p. 208 |
Learning Objectives | p. 209 |
Measuring Length of Linear Objects | p. 210 |
Measuring Polygons | p. 212 |
Calculating Polygon Lengths | p. 213 |
Calculating Perimeter | p. 214 |
Calculating Areas of Polygonal Features | p. 215 |
Measuring Shape | p. 216 |
Measuring Sinuosity | p. 217 |
Measuring Polygon Shape | p. 218 |
Measuring Distance | p. 222 |
Simple Distance | p. 223 |
Functional Distance | p. 224 |
Terms | p. 231 |
Review Questions | p. 231 |
References | p. 232 |
Classification | p. 234 |
Learning Objectives | p. 235 |
Classification Principles | p. 236 |
Elements of Reclassification | p. 238 |
Neighborhood Functions | p. 240 |
Roving Windows: Filters | p. 241 |
Polygonal Neighborhoods | p. 244 |
Immediate Neighborhoods | p. 244 |
Extended Neighborhoods | p. 246 |
Buffers | p. 248 |
Terms | p. 253 |
Review Questions | p. 253 |
References | p. 254 |
Statistical Surfaces | p. 256 |
Learning Objectives | p. 258 |
What Are Surfaces? | p. 258 |
Surface Mapping | p. 259 |
Sampling the Statistical Surface | p. 261 |
The DEM | p. 263 |
Raster Surfaces | p. 264 |
Interpolation | p. 265 |
Linear Interpolation | p. 266 |
Methods of Linear Interpolation | p. 267 |
Uses of Interpolation | p. 272 |
Problems in Interpolation | p. 273 |
Terrain Reclassification | p. 278 |
Steepness of Slope | p. 279 |
Azimuth or Orientation (Aspect) | p. 280 |
Shape or Form | p. 281 |
Visibility and Intervisibility | p. 283 |
Slicing the Statistical Surface | p. 285 |
Cut and Fill | p. 287 |
Other Surface Analyses | p. 289 |
Discrete Surfaces | p. 289 |
Dot Distribution Maps | p. 289 |
Choropleth Maps | p. 291 |
Dasymetric Mapping | p. 292 |
Terms | p. 293 |
Review Questions | p. 293 |
References | p. 295 |
Spatial Arrangement | p. 297 |
Learning Objectives | p. 298 |
Point, Area, and Line Arrangements | p. 300 |
Point Patterns | p. 301 |
Quadrant Analysis | p. 302 |
Nearest Neighbor Analysis | p. 303 |
Thiessen Polygons | p. 305 |
Area Patterns | p. 307 |
Extending Contiguity Measures: The Join Count Statistic | p. 308 |
Other Polygonal Arrangement Measures | p. 310 |
Linear Patterns | p. 311 |
Line Densities | p. 311 |
Nearest Neighbors and Line Intercepts | p. 312 |
Directionality of Linear and Areal Objects | p. 314 |
Connectivity of Linear Objects | p. 317 |
Gravity Model | p. 321 |
Routing and Allocation | p. 322 |
The Missing Variable: Using Other Coverages | p. 324 |
Terms | p. 325 |
Review Questions | p. 325 |
References | p. 326 |
Comparing Variables Among Coverages | p. 329 |
Learning Objectives | p. 329 |
The Cartographic Overlay | p. 330 |
Point-in-Polygon and Line-in-Polygon Operations | p. 333 |
Polygon Overlay | p. 336 |
Automating the Overlay Pricess | p. 340 |
Automating Point-in-Polygon and Line-in-Polygon Procedures in Raster | p. 340 |
Automating Polygon Overlay in Raster | p. 342 |
Automating Vector Overlay | p. 344 |
Types of Overlay | p. 345 |
CAD-Type Overlay | p. 345 |
Topological Vector Overlay | p. 347 |
A Note About Error in Overlay | p. 352 |
Dasymetric Mapping | p. 354 |
Some Final Notes on Overlay | p. 356 |
Terms | p. 357 |
Review Questions | p. 357 |
References | p. 358 |
Cartographic Modeling | p. 360 |
Learning Objectives | p. 361 |
Model Components | p. 362 |
The Cartographic Model | p. 363 |
Models in Geography | p. 365 |
Types of Cartographic Models | p. 367 |
Inductive and Deductive Modeling | p. 370 |
Factor Selection | p. 371 |
Model Flowcharting | p. 371 |
Working Through the Model | p. 374 |
Conflict Resolution | p. 381 |
Some Example Cartographic Models | p. 381 |
Model Implementation | p. 384 |
Model Verification | p. 387 |
Terms | p. 381 |
Review Questions | p. 391 |
References | p. 392 |
GIS Output | p. 395 |
The Output from Analysis | p. 397 |
Learning Objectives | p. 398 |
Output: The Display of Analysis | p. 398 |
Cartographic Output | p. 399 |
The Design Process | p. 402 |
The Role of Symbols in Design | p. 403 |
Graphical Design Principles | p. 405 |
Map Design Controls | p. 409 |
Nontraditional Cartographic Output | p. 412 |
Noncartographic Output | p. 416 |
Interactive Output | p. 417 |
Table and Charts | p. 418 |
Technology and GIS Output | p. 422 |
Terms | p. 426 |
Review Questions | p. 426 |
References | p. 427 |
GIS Design | p. 429 |
GIS Design and Implementation | p. 431 |
Learning Objectives | p. 432 |
What is GIS Design? | p. 433 |
The Need for GIS Design | p. 434 |
Internal and External GIS Design Questions | p. 436 |
The Software Engineering Approach | p. 437 |
Systems Design Principles | p. 438 |
Systems Development Waterfall Model | p. 439 |
The Mythical Man-Month | p. 440 |
Some General Systems Characteristics | p. 441 |
The Institutional Setting for GIS Operations | p. 442 |
The Relation Between the System and the Outside World | p. 442 |
A Structured Design Model | p. 445 |
Technical Design | p. 445 |
The Reasons for Conceptual Design | p. 446 |
Conceptual Design Shortcomings | p. 446 |
People Problems of GIS | p. 447 |
Cost-Benefit Issues | p. 447 |
Data and Applications Requirements Models | p. 448 |
Formal GIS Design Methodology | p. 448 |
The Spiral Model: Rapid Prototyping | p. 449 |
Overview of the Initial GIS Design Model (Level 1) | p. 450 |
GIS Information Products | p. 453 |
How Information Products Drive GIS | p. 453 |
Organizing the Local Views | p. 454 |
Avoiding Design Creep | p. 454 |
View Integration | p. 456 |
Database Design: General Considerations | p. 456 |
Study Area | p. 456 |
Scale, Resolution, and Level of Detail | p. 457 |
Classification | p. 458 |
Coordinate System and Projection | p. 458 |
Selecting a System | p. 459 |
Verification and Validation | p. 459 |
Terms | p. 460 |
Review Questions | p. 460 |
References | p. 461 |
Software and Data Sources | p. 463 |
Using the Wiley World Wide Web to Find Data and GIS Examples | p. 470 |
Glossary | p. 471 |
Photo Credits | p. 489 |
Index | p. 491 |
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