Understanding GIS through Sustainable Development Goals applies a pedagogical shift to learning GIS, as the readers employ the concepts and methodologies on real-world problems. This book provides 16 case studies across most of the Sustainable Development Goals (SDGs) with step-by-step practical instructions using QGIS(Quantum Geographic Information System) , an open-source software. It helps readers develop GIS skills on real-world data, while learning the fundamentals such as spatial data models, projections, and spatial databases, different cartographic methods, such as graduated symbology, change maps, and dynamic visualization, as well as more intermediate and advanced spatial analysis such as geoprocessing, multiple criteria analysis, and spatial statistics. The topics chosen are taught in secondary and tertiary education institutions which make this a textbook for all students and educators.
Features:
- Focuses on learning GIS through 16 real world case studies.
- Introduces an open-source software that can be used beyond the classroom.
- Analyzes Sustainable Development Goals in a global framework and provides an alternative approach to learning GIS.
- Supports both secondary and tertiary educators and improves GIS education at all levels.
- Contains a holistic range of case studies that extend across several disciplines, from geography education, environmental sciences, geosciences, natural sciences, social sciences, and digital humanities.
This is a textbook for all students and educators, providing 16 case studies across most of the SDGs with step-by-step practical instructions using QGIS, an open-source software.
Author(s): Paul Holloway
Publisher: CRC Press
Year: 2023
Language: English
Pages: 338
City: Boca Raton
Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Acknowledgments
Author
Section I: Introductory Material
Chapter 1 Introduction and Context
1.1 Background and Rationale
1.2 This Book
1.3 Structure
1.4 Data and Further Resources
Chapter 2 Getting Started with QGIS
2.1 Downloading and Installing QGIS
2.2 Navigating the QGIS Interface
2.2.1 Tabs
2.2.2 Toolbars
2.2.3 Browsing Panel
2.2.4 Plugins
Section II: The Fundamentals of GIS
Chapter 3 Spatial Data Models
3.1 Introduction and Learning Outcomes
3.2 Case Study: SDG13.3 Improving Capacity for Climate Change Mitigation in Ireland
3.3 Case Study Conclusions
3.3.1 Test Yourself
References
Chapter 4 Projections
4.1 Introduction and Learning Outcomes
4.2 Case Study: Measuring Fire Size to Support the SDGs
4.3 Case Study: Concluding Remarks
4.3.1 Test Yourself
References
Chapter 5 Attributes and Queries
5.1 Introduction and Learning Outcomes
5.2 Case Study: SDG9c Targeted Broadband Support Using Attribute Queries
5.3 Case Study: Concluding Remarks
5.3.1 Test Yourself
References
Chapter 6 Data Management
6.1 Introduction and Learning Outcomes
6.2 Vector Formats
6.3 Temporary Layers and Broken Links
6.4 Fixing Geometries
6.5 Changing Table Fields
6.6 Managing Data for Success
References
Section III: Cartography
Chapter 7 Location and Thematic Maps
7.1 Introduction and Learning Outcomes
7.2 Case Study: SDG14.1 Mapping Plastic Pollution in Coastal Settings
7.3 Case Study: Concluding Remarks
7.3.1 Test Yourself
References
Chapter 8 Choropleth Maps
8.1 Introduction and Learning Outcomes
8.2 Case Study: SDG4 Visualizing Pandemic School Closures
8.3 Case Study Concluding Remarks
8.3.1 Test Yourself
References
Chapter 9 Change Maps
9.1 Introduction and Learning Outcomes
9.2 Case Study: SDG15.2 Mapping the Changing Forests of France
9.3 Case Study Concluding Remarks
9.3.1 Test Yourself
References
Chapter 10 Dynamic Visualization
10.1 Introduction and Learning Outcomes
10.2 Case Study: SDG15.5 A Year in the Life of a Zebra
10.3 Case Study Concluding Remarks
10.3.1 Test Yourself
References
Section IV: Spatial Analysis: Measurements
Chapter 11 Neighborhoods
11.1 Introduction and Learning Outcomes
11.2 Case Study: SDG15.8 Identifying Potential Invasion Sites Through Neighborhood Analysis
11.3 Case Study Concluding Remarks
11.3.1 Test Yourself
References
Chapter 12 Descriptive Statistics
12.1 Introduction and Learning Outcomes
12.2 Case Study: SDG3.6 Analysis of the Spatial Pattern of Traffic Accidents in Denver, Colorado, USA
12.3 Case Study Concluding Remarks
12.3.1 Test Yourself
References
Chapter 13 Density
13.1 Introduction and Learning Outcomes
13.2 Case Study: Modeling Crime Hotspots in Austin, Texas, USA, to Support the SDGs
13.3 Case Study Concluding Remarks
13.3.1 Test Yourself
References
Chapter 14 Interpolation
14.1 Introduction and Learning Outcomes
14.2 Case Study: SDG7 Interpolating Solar Radiation in China
14.3 Case Study Concluding Remarks
14.3.1 Test Yourself
References
Section V: Spatial Analysis: Geoprocessing
Chapter 15 Site Selection – Multiple Criteria Assessment
15.1 Introduction and Learning Outcomes
15.2 Case Study: SDG6 Locating a New Wastewater Treatment Plant in Uganda
15.3 Case Study Concluding Remarks
15.3.1 Test Yourself
References
Chapter 16 Risk Analysis – Unique Condition Unit
16.1 Introduction and Learning Outcomes
16.2 Case Study: SDG11.5 Landslide Risk in Arequipa, Peru
16.3 Case Study Concluding Remarks
16.3.1 Test Yourself
References
Chapter 17 Site Selection – Map Algebra
17.1 Introduction and Learning Outcomes
17.2 Case Study: Locating a New Electric Vehicle Charging Station in Vancouver, British Columbia, Canada
17.3 Case Study Concluding Remarks
17.3.1 Test Yourself
Reference
Chapter 18 Route Selection
18.1 Introduction and Learning Outcomes
18.2 Case Study: SDG11.2 What is the Best Route to Take to the Train Station?
18.3 Case Study Concluding Remarks
18.3.1 Test Yourself
References
Epilogue
Index
