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Geographic Information Systems (GIS)

GIS at its simplest is computer-aided "mapping," displaying demographic, topographic, or other data so that it can be visually interpreted and analyzed. However, it is much more than that, providing tools for extensive digital analysis of the rich geographic relationships that make up our world.

These presentations are semi-independent. Each covers a different topic within GIS. They do, however, tend to build on each other. All use the ArcGIS Pro software.


Chapter

Sections

Procedures

Introduction to GIS

Constructing Maps

Sharing Maps

Mapping Place-Name Data

Mapping Coordinate Data

Using a GPS Receiver

Mapping Raster Data

Editing Map Data

Geostatistics

Hover over a chapter title to see its contents.

  1. A Brief Overview of GIS

  2. Course Overview

  3. Academic Uses of GIS

  4. The ArcGIS Software

  5. Additional GIS Training and Resources

  1. Getting the Tutorial Data

  2. Navigating ArcMap

  3. Map Layer Attribute Tables

  4. Exploring Map Features

  5. Labeling Map Layers

  6. Symbolizing Map Layers

  7. Using Multiple Layers

  8. Finding Prepared Data

  1. Getting the Tutorial Data

  2. Preparing a Map for Sharing

  3. Exporting a Map

  1. Getting Started

  2. Joining Tabular Place Name Data

  3. Mapping Census Data

  4. Formatting Tables for Joins

  5. Geocoding Street Addresses

  1. Getting Started

  2. Geographic Coordinate Systems

  3. Projections

  4. Projected Coordinate Systems

  5. Working With Spatial References

  6. Displaying Coordinate Information

  7. Working with Coordinate Data

  8. References

  1. The Global Positioning System

  2. Using a GPS Enabled Smartphone

  3. Using a GPS Receiver

  4. Downloading GPS Data

  5. Importing GPS Data into ArcGIS

  1. Getting Started

  2. The Structure of Raster Data

  3. Symbolizing Raster Data

  4. Analyzing Watersheds

  5. Site Suitability Analysis

  6. Georeferencing Scanned Maps

  1. Getting Started

  2. Selecting Map Features

  3. Duplicating and Reprojecting a Feature Set

  4. Creating and Editing Features

  1. Getting Started

  2. Basic Descriptive Statistics

  3. Probability Distributions and Sample Data

  4. Statistics of Multiple Attributes

  5. Descriptive Statistics of Spatial Data

  6. References

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