GIS: An Introduction to Mapping Technologies

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The second edition of this introductory GIS textbook is thoroughly rewritten and thoroughly updated to respond to the demand for critical engagement with technologies that address relevant issues across several disciplines preparing students for higher-level work in geotechnologies. Chapters are arranged to (1) build competence in fundamental skills, (2) explore applications of higher-level managerial and analytical functions that are typically called upon in public, non-profit, and private sector milieu, and (3) propose and detail a template for organizing, executing, and completing a GIS project successfully. This interests all users from beginners to experienced professionals.

Features

1. Uses the latest version of ArcGIS Pro (3.0) to present a fully rewritten and updated text with diverse perspectives.

2. Includes many real-world examples with urban planning, environmental, and social justice foci.

3. Presents new discussions, examples, and lab materials on open-source GIS projects.

Junior and senior level undergraduate students taking courses in remote sensing and GIS applications, studying in the fields of Geography, Environmental Sciences, Computer Science, Urban Studies, Public Health, and Social Disciplines, as well as researchers and academics in the same fields, will all benefit from the information provided in the updated version of this book.

Author(s): Patrick McHaffie, Sungsoon Hwang, Cassie Follett
Edition: 2
Publisher: CRC Press
Year: 2023

Language: English
Pages: 316
City: Boca Raton

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
Acknowledgments
Authors
Chapter 1 Making Sense of Geotechnology
1.1 Coming to GIS
1.2 The Geospatial Analyst: A Definition
1.3 What This Book Is About
1.4 How This Book Is Organized
Bibliography
Video Resources
Chapter 2 Georeferencing
2.1 Needs for Metric Georeferencing
2.2 Understanding Datums
2.3 Understanding Map Projection
2.4 Coordinate Systems for GIS
2.5 Address Geocoding
Lab 2A Map XY Data and Project Maps (ArcGIS Pro 3.0)
Lab 2A-1 Earthquake Maps
Part I: Add a Flat File
Part II: Display XY Data in Geographic Coordinate System (GCS)
Part III: Display Features in the World
Part IV: Display Features in the Continent
Part V: Display Features in the Region
Lab 2A-2 Crime Incidents Maps
Part I: Display XY Data in PCS
Lab 2B Geocoding Street Addresses in Batch (ArcGIS Pro 3.0)
Bibliography
Chapter 3 Getting the World into Your GIS
3.1 Introduction: A World of Geospatial Data
3.1.1 Source
3.1.2 Format
3.1.3 Size
3.1.4 Organization
3.2 Data Acquisition: Getting Started
3.3 Private Sector Geospatial Services and Data
3.3.1 “Snapshot” Services
3.3.2 Subscription/“On-Demand” Services
3.4 Conversion Services
3.5 GNSS: A Viable Approach to Data Collection
3.5.1 DIY Data Collection Using GNSS Mobile Apps
Bibliography
Chapter 4 Geospatial Analysis: Introduction
4.1 Introduction to Geospatial Analysis
4.1.1 Category (dependents)
4.2 Selection and Subsetting
4.3 Classification
4.4 Exploring Proximity, Buffering, and Spatial Relationships
4.5 Interpolation
4.6 Networks
Bibliography
Chapter 5 Thematic Mapping
5.1 Fundamental Elements of Maps
5.2 Gallery of Maps
5.3 How Data Representation Affects Map Reading and Interpretation?
5.4 Choosing Symbology (Visual Variables)
5.5 Choosing a Quantitative Thematic Mapping Technique
5.6 Organizing Thematic Content
Lab 5 Make Thematic Maps (ArcGIS Pro 3.0)
Part I: Point Maps
Part II: Graduated Symbol Maps
Part III: Graduated Color Maps—Normalization
Part IV: Graduated Color Maps—Data Classification
Part V: Isarithmic Maps
Bibliography
Chapter 6 Data Models
6.1 Geospatial Data Is Special
6.2 How Spatial Data Is Structured—Raster and Vector?
6.3 How Attribute Data Is Structured—Relational Databases?
6.3.1 Relational Databases
6.3.2 Database Normalization
6.3.3 Field Data Types
6.3.4 Table Join
6.4 How Spatial and Attribute Data Are Put Together
Lab 6A Query Geospatial Data (ArcGIS Pro 3.0)
Part I: Import an Existing ArcMap Document
Part II: Select Features Using Attributes—Text Data
Part III: Get Descriptive Statistics of Numeric Data
Part IV: Select Features Using Attributes—Numeric Data
Lab6B Get to Know Geospatial Data (ArcGIS Pro 3.0)
Part I: Read the Metadata of Geospatial Data
Part II: Explore Properties of Geospatial Data
Part III: Inquire Geospatial Data
Part IV: Contrast Spatial Data Model—Vector and Raster
Bibliography
Chapter 7 Web GIS
7.1 Introduction
7.2 Web and Internet Fundamentals
7.3 Web GIS History
7.4 Mainstream Web GIS Applications
7.5 Leaflet Exercise
7.6 ArcGIS Online Exercise
7.7 Emerging Trends in Web GIS and Advanced Topics
7.8 Web GIS Servers and ArcGIS Server Exercise
Bibliography
Chapter 8 Open-Source GIS
8.1 What Is Open-Source GIS?
8.2 Getting Started with QGIS
8.3 GDAL and Raster Data
8.4 GeoDa and Open-Source GIS Databases
8.5 Open-Source GIS Libraries
8.6 The Future of Open-Source GIS
Bibliography
Chapter 9 Introduction to Remote Sensing and GIS
9.1 Remote Sensing Fundamentals
9.2 Organizational Considerations When Beginning Remote Sensing Work
9.3 Major Land Remote Sensing Projects
9.3.1 Landsat and Other Multispectral Imaging Programs
9.4 Digital Remote Sensing Data
9.4.1 Sensors
9.5 Remote Sensing Applications
Bibliography
Video Resources
Chapter 10 Introduction to Health GIS Applications
10.1 Introduction
10.2 Accessibility
10.3 Accessibility in Design
10.4 Cartograms
10.5 Ring Maps
10.6 Cluster Analysis
10.7 Spatial Regression
10.8 Network Analysis and Health GIS
10.9 Health GIS Dashboard Exercise
10.10 Conclusion
Bibliography
Chapter 11 GIS and Digital Humanities
11.1 Digital Humanities Meets GIS
11.2 Thinking Spatially with GIS
11.3 Georeferencing Images
11.4 Mapping Texts
11.5 Representing Time in a Geographic Database
11.6 Mapping Temporal Data
11.7 Mapping Qualitative Data
Lab 11A Georeference Scanned Maps (QGIS 3.22.11 Long Term Release: LTR)
Lab 11B Mapping Temporal Data (QGIS 3.22.11 LTR)
1 Mapping Change in Earthquakes 1960–2015
2 Mapping Change in Diabetes Prevalence
Bibliography
Chapter 12 Organizational GIS and Data Collection
12.1 Working as a GIS Professional
12.2 Organizational Implementation of GIS
12.3 Organizational Best Practices
12.4 Collaborative GIS
12.5 GIS and Relational Database Management Systems
12.6 “NoSQL” Databases and “Big Data”
12.7 Machine Learning/Deep Learning and 3D Modeling
12.8 Survey123 Exercise
Bibliography
Index