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Joseph Kerski and Steven Hick

Mapping and geotechnologies are an exciting way for you to put your interest and passion for all things about the Earth and the Environment into action in ways that are in demand in the workplace by nonprofit organizations, government agencies, academia, and private industry and incredibly relevant to our 21st Century world!

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Mapping and geotechnologies are an exciting way for you to put your interest and passion for all things about the Earth and the Environment into action in ways that are in demand in the workplace by nonprofit organizations, government agencies, academia, and private industry and incredibly relevant to our 21st Century world!

All 21st Century issues—water quality, inequalities, human health, habitat loss, energy, climate, natural hazards, invasive species, and many more—take place somewhere. These issues, including the United Nations Sustainable Development Goals (SDGs) are global issues that increasingly affect our everyday lives, our society, and our environment. These issues often exhibit spatial patterns that can be mapped and analyzed and require the analysis of data in the form of 2D and 3D maps, aircraft and satellite imagery, real time data feeds from the Internet of Things, and much more. We have a dynamic planet with natural forces shaping what is on, under, and above the surface, along with 8 billion humans as change agents, and thus key to understanding our world as it was, is, and should be in the future is mapping and analyzing change over space and time!

In this course, through a series of readings, videos, and hands-on exercises covering a variety of social and environmental themes, issues, and scales, you will learn the fundamentals of exciting and dynamic mapping tools, including projections, symbology, classification, and analysis. You will build your own web mapping applications such as dashboards and multimedia story maps. You will collect and map your own field data. You will gain skills and confidence to empower you to be able to use maps as analytical tools to build a brighter, more sustainable, more resilient tomorrow!

What's inside

Learning objective

The purpose of this course is to continue the foundation gained in the digital earth coruse for your successful use of mapping tools by introducing you to the ways that digital maps from gis can be created, symbolized, and used in visualizations to solve problems and serve as communication tools to address key 21st century issues. through this course, you will gain fundamental skills in problem solving through spatial analysis through hands-on work. but equally importantly, you will gain understanding of the technological and societal implications that these tools have on 21st century society and how you can chart your own pathway forward using these tools and perspectives.

Syllabus

This 10-Module course, designed for both audit and verified tracks, offers a comprehensive online, asynchronous learning experience.
Each module includes:
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides context and significance for maps in today's world and the broader field of geotechnologies
Introduces the fundamentals of mapping tools, enhancing spatial reasoning and problem-solving skills
Promotes hands-on learning through exercises that allow for practical application of mapping concepts
Balances technical skills development with exploration of societal implications of mapping technologies
Develops skills in creating interactive web mapping applications, empowering learners to communicate spatial information effectively
Uses a combination of readings, videos, and interactive exercises to provide a comprehensive learning experience

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Reviews summary

Gis for global environmental & societal issues

According to learners, this course offers a practical and relevant exploration into mapping and geotechnologies, emphasizing their application to critical 21st-century issues like climate change and UN Sustainable Development Goals. Students appreciate the hands-on exercises, which include building web mapping applications and collecting field data, providing a strong foundation in GIS fundamentals. The asynchronous format allows for flexible learning, enabling students to progress at their own pace. While providing essential skills in spatial analysis, the course also encourages reflection on the societal implications of these tools, bridging technical learning with broader context.
Offers flexibility for self-paced study.
"The asynchronous format worked perfectly with my busy professional schedule."
"I could learn at my own pace, which really helped me grasp complex ideas thoroughly."
"Appreciated the flexibility to revisit materials and activities whenever needed for review."
Establishes essential mapping and analysis fundamentals.
"I gained a solid understanding of projections, symbology, and classification."
"The course helped me solidify my GIS basics before moving to more advanced topics."
"It's a good continuation from the previous Digital Earth course, adding more depth to my skills."
Connects mapping tools to critical global issues.
"I appreciate how the course connects mapping to real-world problems like climate change and SDGs."
"It really shows how geospatial tools are vital for addressing complex 21st-century challenges."
"The focus on contemporary societal and environmental issues made the concepts highly relevant for my career."
Strong emphasis on practical, applied mapping skills.
"Building my own story maps and dashboards was incredibly valuable and practical for my work."
"The hands-on exercises helped me apply concepts immediately, not just learn theory."
"Collecting and mapping field data was a unique and engaging experience that solidified my understanding."
Could clarify specific GIS software/platforms used.
"I wish there was clearer information about which specific GIS software would be used."
"More explicit guidance on tool interfaces for different GIS platforms could enhance the learning."
"It would be helpful to know if particular software licenses or access are required beforehand."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Digital Earth, Deeper Dive with these activities:
Participate in Peer Review Sessions
Foster a sense of community and encourage critical thinking by engaging students in peer review of assignments and projects.
Show steps
  • Form small groups with classmates.
  • Share work-in-progress or completed assignments for feedback and constructive criticism.
  • Provide constructive feedback to peers, focusing on strengths and areas for improvement.
Read 'The Map and the Territory'
Provide a comprehensive overview of the fundamental concepts and history of mapping, helping to build a strong foundation for the course.
Show steps
  • Read chapters 1-5 to gain an understanding of the basic principles of mapping and their historical evolution.
  • Analyze the author's perspectives on the relationship between maps and reality.
Practice Spatial Analysis Exercises
Reinforce understanding of spatial analysis techniques through repetitive exercises, improving accuracy and efficiency in data interpretation.
Browse courses on Spatial Analysis
Show steps
  • Obtain datasets related to course topics, such as population distribution or environmental data.
  • Perform spatial analysis tasks, such as buffer analysis, overlay analysis, or hot spot analysis.
Three other activities
Expand to see all activities and additional details
Show all six activities
Complete QGIS Tutorials
Provide hands-on experience with QGIS, a leading open-source GIS software, reinforcing practical skills covered in the course.
Browse courses on QGIS
Show steps
  • Follow the official QGIS tutorials to become familiar with the software's interface and basic functionality.
  • Complete additional tutorials on specific topics relevant to the course, such as data visualization or spatial analysis.
Develop a Web Mapping Application
Challenge students to apply their knowledge by creating a web mapping application, fostering problem-solving and critical thinking skills.
Browse courses on Web Mapping
Show steps
  • Design the application's purpose, target audience, and key features.
  • Choose appropriate data sources and prepare them for use in the application.
  • Use a mapping library or framework to develop the interactive map component.
Prepare a Policy Brief on a Geospatial Issue
Integrate course knowledge with real-world applications by requiring students to analyze geospatial data and develop policy recommendations.
Browse courses on Policy Analysis
Show steps
  • Identify a geospatial issue relevant to a specific policy area, such as land use planning or environmental management.
  • Collect and analyze geospatial data to support the analysis.
  • Develop policy recommendations based on the analysis and present them in a concise and compelling manner.

Career center

Learners who complete Digital Earth, Deeper Dive will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Digital Earth, Deeper Dive.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Focuses on analyzing, visualizing, and modeling geographic data using R. It's ideal for GIS users wanting to leverage R's capabilities and R users interested in spatial data. The book progresses from foundational concepts to advanced techniques and real-world applications. The second edition (2025) incorporates recent developments in spatial data handling in R.
Offers a broad and in-depth exploration of the scientific principles and systems underlying GIS. It's a widely used textbook in undergraduate and graduate programs, providing a solid theoretical foundation for understanding spatial data, analysis, and management.
Presents a collection of the most substantive solutions to global warming, based on extensive research and analysis. It offers a hopeful and practical perspective on addressing climate change through existing technologies and practices. This book is highly valuable for understanding concrete actions and strategies for achieving sustainability and useful reference tool for students and professionals working on climate solutions.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Serves as a direct introduction to the concepts and technologies used in creating interactive web maps. It covers foundational web technologies like HTML, CSS, and JavaScript in the context of mapping and introduces popular libraries such as Leaflet. This is an excellent starting point for beginners specifically interested in the web development side of web mapping and provides practical examples to get started.
A classic and comprehensive textbook covering the fundamental principles and techniques of cartography. It's a foundational resource for students and professionals seeking a deep understanding of map design, projections, and symbolization. While earlier editions exist, the latest provides updated information on technology.
This provocative book argues that the climate crisis is not just an environmental issue but a call to transform our economic and political systems. It provides a critical analysis of the relationship between capitalism and climate change. is essential for understanding contemporary debates about the systemic drivers of environmental problems and is highly relevant for advanced students and professionals.
Widely recommended text for understanding the principles and techniques of spatial analysis. It provides a solid foundation in spatial statistics and includes an appendix explaining relevant mathematical and statistical concepts. It is often used as a central textbook in spatial statistics courses.
Provides a comprehensive treatment of model-based geostatistics, a modern approach to spatial data analysis. It's suitable for researchers and practitioners interested in advanced statistical modeling of spatial data. It requires a strong statistical background.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
A guide to advanced concepts and practices of statistical modeling of spatial data. covers various aspects of statistical modeling and includes detailed case studies. It's suitable for those with a strong statistical background looking to apply it to spatial data.
This बुक presents a stark and urgent picture of the potential impacts of climate change if significant action is not taken. It synthesizes scientific research and explores the potential social, economic, and environmental consequences of a warming planet. is important for understanding the severity of the climate crisis and serves as a call to action, particularly relevant for contemporary discussions on climate impacts and adaptation.
Offers a comprehensive overview of sustainable development, covering its history, key concepts, and practical challenges. Written by a leading economist, it provides valuable insights into the economic dimensions of sustainability and the role of policy. It can serve as a core textbook for undergraduate and graduate programs, offering a solid foundation for understanding the multifaceted nature of sustainable development. It useful reference for exploring various aspects of the topic.
Focuses on the fundamental concepts of spatial analysis, teaching users how to identify and understand geographic patterns and relationships using GIS. It practical guide that complements theoretical knowledge with hands-on application, often used in conjunction with Esri software training.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Provides a theoretical and applied introduction to spatial statistics and modeling. It covers various spatial statistical models and their applications. It's suitable for graduate students and researchers with a solid background in statistics.
A collection of practical recipes for using the Leaflet JavaScript library to create dynamic web maps. is invaluable for developers working with Leaflet, providing solutions to common tasks and demonstrating various features of the library. It's a great reference for quickly implementing specific web mapping functionalities.
Building on Volume 1, this book delves into spatial statistics and measurements. It explains how to quantify geographic patterns and relationships, providing a deeper analytical understanding. It's a crucial resource for those looking to move beyond basic mapping to more rigorous spatial analysis.
Provides a solid foundation in the basic principles of GIS. is often used as an introductory textbook and covers essential topics such as data models, coordinate systems, and basic spatial analysis. It's a good starting point for beginners.
Focuses on using Python for geographic data science, including spatial analysis. It's relevant for those interested in using open-source programming languages for spatial analysis and aligns with the increasing use of Python in the field. Published in 2020, it covers contemporary tools and techniques.
Challenges traditional economic models and proposes a new framework for economic thinking that integrates social and planetary boundaries. It is highly relevant for contemporary discussions on sustainable economic systems and offers a fresh perspective on achieving well-being within ecological limits. This book is valuable for deepening understanding of alternative economic approaches to sustainability and is often used as supplementary reading in relevant courses.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
The third volume in this series focuses on advanced spatial modeling techniques, including suitability modeling, network analysis, and spatial interaction. It is geared towards users who need to perform complex analyses for decision-making and planning.
Offers a practical introduction to spatial analysis using the R programming language. It's suitable for those with some R knowledge looking to apply it to spatial data. It covers fundamental spatial analysis techniques and provides code examples for implementation.
Focused on Esri's widely used ArcGIS platform, this book guides readers through the process of creating and sharing web GIS applications. It covers publishing data, configuring web maps and apps, and leveraging the capabilities of the ArcGIS Online and ArcGIS Enterprise platforms. This is particularly useful for those working in environments utilizing Esri technology and provides practical workflows for building functional web GIS solutions.
This Pulitzer Prize-winning book explores the ongoing extinction crisis and its causes, highlighting the profound impact of human activity on biodiversity. It provides a crucial understanding of the ecological consequences of unsustainable practices. is important for deepening understanding of the environmental challenges related to sustainability and is often recommended as essential reading on biodiversity loss.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Understanding systems thinking is crucial for comprehending the complex and interconnected nature of sustainability challenges. provides a clear and accessible introduction to the principles of systems thinking and how they can be applied to environmental and social issues. It is highly recommended as foundational reading to develop a holistic perspective on sustainability. It serves as a valuable tool for analyzing the root causes of unsustainable practices and designing effective interventions.
This comprehensive guide covers a wide range of geospatial analysis principles, techniques, and software tools. It valuable reference for both students and practitioners, offering a broad overview of the analytical capabilities of GIS.
Focuses on the theory and practice of spatial statistics using the R programming language. It's designed for those who want to apply statistical methods to analyze spatial data, offering both theoretical concepts and practical examples.
Focuses on spatial data analysis using the R programming language. is highly relevant for those interested in applying statistical and data science techniques to spatial data, particularly in research or advanced analytical roles.
Building on the principles in 'How to Lie with Maps,' this book focuses on creating effective and ethical maps for scientific communication. It's a practical guide for researchers and students who need to visualize their data spatially.
Provides a practical introduction to crime mapping and spatial data analysis using R, specifically within the context of criminology. It's a good example of spatial analysis applied to a specific domain and is useful for students and professionals in criminal justice and related fields. Published in 2023, it reflects recent applications.
Written by key figures in the Paris Agreement negotiations, this book outlines two potential future scenarios based on our response to the climate crisis. It offers a hopeful yet realistic perspective on the actions needed to create a sustainable future. is relevant for understanding the global efforts to address climate change and provides insights into potential pathways forward.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Focusing on contemporary GIS, this book explores the principles and applications of Web GIS. It covers topics such as online mapping, geospatial web services, and cloud-based GIS, which are increasingly important in the field.
Explores the cultural and social power of maps, arguing that they are not neutral representations but actively shape our understanding of the world. It offers a critical perspective on cartography and its role in society, complementing more technical texts.
Provides a concise introduction to the fundamental geographic and cartographic concepts that underpin GIS. It good resource for gaining a solid understanding of the spatial thinking required for effective GIS use.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
Provides a hands-on introduction to spatial data analysis using open-source software like QGIS and R. It's designed for novice users and covers fundamental concepts and steps from data acquisition to analysis and mapping. Published in 2020, it offers a current perspective with practical examples.
An introduction to GeoServer, a popular open-source server software that allows publishing geospatial data as web services (WMS, WFS, etc.). Web mapping applications often consume data from such servers, making understanding GeoServer valuable. guides beginners through setting up and configuring GeoServer to serve their own spatial data.
Also known as the Brundtland Report, this publication landmark document that popularized the concept of sustainable development. It provides a comprehensive overview of the interconnected environmental and development challenges facing the world. This report is essential reading for gaining a broad understanding of the definition and scope of sustainable development as widely accepted internationally. It crucial reference for understanding the historical context of sustainability policy.
Examines the different ways we produce and consume food, tracing four different meal sources to their origins. It provides a critical look at the industrial food system and explores alternatives, connecting food choices to environmental sustainability and personal health. This book is valuable for understanding the complex relationship between food, agriculture, and sustainability and is often used in courses on food systems and environmental studies.
Presents a vision for a new industrial revolution based on the principles of resource efficiency, ecological design, and biomimicry. It provides practical examples of how businesses can adopt sustainable practices and improve profitability. This book is useful for understanding the business case for sustainability and offers insights for professionals in various industries.

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