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Geographic Information Systems and Cartography

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Geographic Information Systems and Cartography

Introduction to Geographic Information Systems, including Geographic Information Systems (GIS), Global Positioning Systems (GPS), cartography, remote sensing, and spatial analysis. Readers will learn how to utilize geospatial technology to address social and environmental issues. This course is designed to be used as a stand-alone course to complement other disciplines or as an entry-level course in a geospatial program.

Geography (Physical)Geosciences
Author
Adam Dastrup
Publisher
Salt Lake Community College
Source
LibreTexts
License
CC BY-NC-SA
Language
EN
Category
Information Technology
Read online Download PDF (open licence)
Contents· 59 sections
  1. 01: Introduction to Geographic Information Systems
  2. 1.01: Introduction
  3. 1.02: Geographic Science
  4. 1.03: Geospatial Technology
  5. 1.04: Geographic Concepts
  6. 1.05: Map Fundamentals
  7. 1.06: Cartographic Fundamentals
  8. 1.07: Future of Mapping Technology
  9. 1.08: Review
  10. 1.09: Attributions and References
  11. 02: Spatially Representing Earth
  12. 2.01: Introduction
  13. 2.02: Fundamentals of Maps
  14. 2.03: Datums Coordinate Systems and Map Projections
  15. 2.04: Representing Geographic Features
  16. 2.05: References
  17. 03: Spatial and Nonspatial Data
  18. 3.01: Introduction
  19. 3.02: Data and Information
  20. 3.03: Metadata
  21. 3.04: Researching Data
  22. 3.05: References
  23. 04: Geospatial Data Models
  24. 4.01: Introduction
  25. 4.02: Raster Data Models
  26. 4.03: Vector Data Models
  27. 4.04: Remote Imagery Acquisition
  28. 4.05: References
  29. 05: Geospatial Data Management
  30. 5.01: Introduction
  31. 5.02: Geographic Data Acquisition
  32. 5.03: Geospatial Database Management
  33. 5.04: File Formats
  34. 5.05: Data Quality
  35. 5.06: References
  36. 06: Geospatial Data Characteristics and Visualization
  37. 6.01: Introduction
  38. 6.02: Descriptions and Summaries
  39. 6.03: Searches and Queries
  40. 6.04: Data Classification
  41. 6.05: References
  42. 07: Vector Data Analysis
  43. 7.01: Introduction
  44. 7.02: Single Layer Analysis
  45. 7.03: Multiple Layer Analysis
  46. 7.04: References
  47. 08: Raster Data and Imagery Analysis
  48. 8.01: Introduction
  49. 8.02: Geoprocessing with Raster Imagery
  50. 8.03: Scale of Raster Analysis
  51. 8.04: Spatial Interpolation for Spatial Analysis
  52. 8.05: Terrain Mapping for Spatial Analysis
  53. 8.06: References
  54. 09: Cartographic Principles
  55. 9.01: Introduction
  56. 9.02: Color Theory
  57. 9.03: Symbology
  58. 9.04: Cartographic Design
  59. 9.05: References