Understanding GIS through Sustainable Development Goals: Case Studies with QGIS

Description

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. 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