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Multivariate and Geographical Data Analysis

Ross Maciejewsk and Huan Liu
Covering the tools and techniques of both multivariate and geographical analysis, this course provides hands-on experience visualizing data that represents multiple variables. This course will use statistical techniques and software to develop and analyze geographical knowledge.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores multivariate and geographical analysis, which are important techniques in data science
Teaches statistical techniques and software, which are essential skills for data analysis
Develops geographical knowledge and visualization skills, which are valuable for understanding spatial data
Taught by Ross Maciejewsk and Huan Liu, who are recognized for their work in data analysis and visualization

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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 Multivariate and Geographical Data Analysis with these activities:
Read GIS Tutorial for ArcGIS
Review the basics of geographical analysis and GIS software functionalities by using this specialized textbook as a companion.
View GIS Tutorial for ArcGIS Pro 3.1 on Amazon
Show steps
  • Review the chapters aligned with course topics.
  • Complete the practice exercises provided in the book.
  • Use the online resources and tutorials to supplement your understanding.
Explore online resources and tutorials on multivariate and geographical analysis techniques
Exploring online resources and tutorials will help you expand your knowledge and skills in these areas.
Browse courses on Multivariate Analysis
Show steps
  • Identify reputable online resources and tutorials on multivariate and geographical analysis.
  • Review the materials and complete the exercises to enhance your understanding.
Join QGIS community forum discussions
Engage with the QGIS community to seek answers, ask questions, and learn from others' experiences with GIS.
Browse courses on QGIS
Show steps
  • Create an account on the QGIS forum.
  • Browse the forum categories and identify relevant discussions.
  • Pose your questions or participate in existing discussions.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Participate in a study group or online forum to discuss course concepts
Participating in a study group or online forum will allow you to engage with other students, share ideas, and clarify your understanding of the course material.
Browse courses on Collaborative Learning
Show steps
  • Find a study group or online forum related to the course.
  • Attend meetings or participate in discussions regularly.
  • Contribute to the group by sharing your insights and asking questions.
Organize and review notes and materials from the course
Organizing and reviewing your notes and materials will help you consolidate your understanding of the course content.
Show steps
  • Organize your notes and materials by topic or module.
  • Review your notes and materials regularly to reinforce your learning.
Practice spatial analysis exercises with ArcGIS Pro
Reinforce your understanding of spatial analysis concepts by working through practical exercises using industry-standard ArcGIS Pro software.
Browse courses on ArcGIS Pro
Show steps
  • Obtain access to ArcGIS Pro software.
  • Find spatial analysis datasets online or create your own.
  • Follow tutorials or create your own exercises to practice different spatial analysis techniques.
  • Analyze the results of your analysis and interpret the findings.
Develop a visual representation of your geographical analysis
Deepen your understanding of geographical data by creating visual representations, such as maps, charts, or interactive dashboards, to communicate your findings effectively.
Browse courses on Data Visualization
Show steps
  • Choose an appropriate data visualization tool or software.
  • Select the data you want to visualize and prepare it for visualization.
  • Design and create the visual representation.
  • Evaluate the effectiveness of your visualization.
Create a visual representation of a data set related to a geographic topic
Creating a visual representation of a data set will help you develop your skills in data analysis and communication.
Browse courses on Data Visualization
Show steps
  • Choose a data set related to a geographic topic of interest.
  • Select an appropriate visualization technique, such as a bar chart, line graph, or scatterplot.
  • Create the visualization using a software program or online tool.
  • Interpret the results of the visualization and draw conclusions.
Contribute to an open-source project related to multivariate or geographical analysis
Contributing to an open-source project will allow you to gain practical experience and make a valuable contribution to the community.
Browse courses on Multivariate Analysis
Show steps
  • Identify an open-source project that aligns with your interests and skills.
  • Review the project documentation and codebase.
  • Make a bug fix, add a feature, or improve the documentation.
Create a GIS project using open-source software
Apply your knowledge and skills to create a comprehensive GIS project using open-source software, demonstrating your understanding of the course concepts.
Browse courses on Open Source GIS
Show steps
  • Identify a problem or issue that can be addressed using GIS.
  • Gather and prepare the necessary data.
  • Conduct spatial analysis and interpret the results.
  • Develop a solution or recommendation based on your analysis.
  • Create a report or presentation to showcase your project.

Career center

Learners who complete Multivariate and Geographical Data Analysis will develop knowledge and skills that may be useful to these careers:
GIS Analyst
A GIS Analyst uses geographic information systems (GIS) to create and analyze maps and other visualizations that help people understand the world around them. GIS Analysts typically have a background in geography, computer science, or a related field. This course would be particularly useful to GIS Analysts who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for GIS Analyst
Geographer
Geographers study the Earth's surface and its human and natural environments. They use a variety of methods to collect and analyze data, including field work, remote sensing, and GIS. Many Geographers also specialize in a particular region or topic, such as urban planning, environmental science, or climate change. This course would be particularly useful to Geographers who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Geographer
Data Visualization Designer
Data Visualization Designers create visual representations of data to help people understand it more easily. Data Visualization Designers typically have a background in graphic design, data visualization, or a related field. This course may be useful to Data Visualization Designers who are interested in creating visualizations of geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Data Visualization Designer
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. Quantitative Analysts typically have a background in mathematics, statistics, or a related field. This course may be useful to Quantitative Analysts who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Quantitative Analyst
Data Scientist
Data Scientists typically need a graduate-level education in a STEM field with a heavy emphasis on advanced statistics and programming. A Data Scientist collects, analyzes, and interprets large data sets to extract meaningful insights. It is possible to enter this career without an advanced degree in certain industries, but it is uncommon. This course may be useful to Data Scientists who are working with data that has a geographic component, as it provides hands-on experience with visualizing and analyzing geographical data.
See salaries and explore the career path for Data Scientist
UX Researcher
UX Researchers conduct research to improve the user experience of websites and other digital products. UX Researchers typically have a background in human-computer interaction, psychology, or a related field. This course may be useful to UX Researchers who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for UX Researcher
Urban Planner
Urban Planners develop and implement plans to improve the built environment. Urban Planners typically have a background in urban planning, architecture, or a related field. This course may be useful to Urban Planners who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Urban Planner
Transportation Planner
Transportation Planners develop and implement plans to improve transportation systems. Transportation Planners typically have a background in civil engineering, transportation planning, or a related field. This course may be useful to Transportation Planners who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Transportation Planner
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data to help businesses understand their customers and make informed decisions. Market Research Analysts typically have a background in business, marketing, or a related field. This course may be useful to Market Research Analysts who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so and this course provides a foundation in visualizing and interpreting data with multiple variables that may be helpful in a data-driven workplace.
See salaries and explore the career path for Market Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in a variety of industries, including business, healthcare, and government. Operations Research Analysts typically have a background in mathematics, statistics, or a related field. This course may be useful to Operations Research Analysts who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Operations Research Analyst
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. Statisticians typically have a background in mathematics, statistics, or a related field. This course may be useful to Statisticians who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Statistician
Survey Researcher
Survey Researchers design, conduct, and analyze surveys to collect data about a population. Survey Researchers typically have a background in social science, statistics, or a related field. This course may be useful to Survey Researchers who are interested in using statistical techniques to analyze geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Survey Researcher
Data Analyst
A Data Analyst uses their programming and analytical skills to interpret data, typically with the goal of improving some business outcome. Higher education in an analytics-related field is not usually required, but those with it are more competitive. This course may be useful to Data Analysts who are interested in leveraging their skills in a business or non-profit setting, as it provides a foundation in visualizing and interpreting data with multiple variables that may be helpful in a data-driven workplace.
See salaries and explore the career path for Data Analyst
Software Engineer
Software Engineers design, develop, and maintain software applications. Software Engineers typically have a background in computer science or a related field. This course may be useful to Software Engineers who are interested in developing software applications that use geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Software Engineer
Web Developer
Web Developers design and develop websites. Web Developers typically have a background in computer science, web development, or a related field. This course may be useful to Web Developers who are interested in developing websites that use geographical data, as it provides hands-on experience with the tools and techniques used to do so.
See salaries and explore the career path for Web Developer

Reading list

We've selected eight 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 Multivariate and Geographical Data Analysis.
Cover image
Multivariate Analysis of Ecological Data
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Is an advanced text on multivariate analysis methods and ecological applications. It is widely used as a textbook and covers advanced multivariate methods such as cluster analysis and discriminant analysis, along with more specialized methods such as principal coordinates analysis.
Multivariate Analysis of Ecological Data
Paperback
Check
Multivariate Analysis of Ecological Data
Kindle Edition
Check
Cover image
Geographic Information Science and Systems, 4th...
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Provides a comprehensive overview of geographical analysis techniques. It classic work for this field of study and is helpful as a reference or for background knowledge.
Geographic Information Science and Systems, 4th...
Paperback
Check
Geographic Information Science and Systems, 4th...
Kindle Edition
Check
Cover image
Applied Multivariate Statistical Analysis (Classic...
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Provides a practical introduction to multivariate statistical analysis. It commonly used textbook and provides a solid foundation for understanding how to use multivariate methods.
Applied Multivariate Statistical Analysis (Classic...
Paperback
$$$
Cover image
An Introduction to Statistical Learning
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Offers a modern perspective on data mining and statistical learning. It provides a more comprehensive view of the field than the current course, offering additional depth and breadth.
An Introduction to Statistical Learning
Paperback
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An Introduction to Statistical Learning
Kindle Edition
Check
Exploratory Data Analysis
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Classic work on data analysis and visualization. It provides a foundation for the exploratory analysis of data, which key component of both multivariate and geographical data analysis.
Exploratory Data Analysis
Paperback
Check
Exploratory Data Analysis
Kindle Edition
Check
Cover image
Spatial Data Analysis
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Provides a gentle introduction to statistical methods for geographic information systems. It is helpful for understanding the basics of spatial statistics.
Spatial Data Analysis
Paperback
Check
Spatial Data Analysis
Kindle Edition
Check
Cover image
Southern African Geomorphology
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Serves as a comprehensive guide to geospatial analysis. It offers a more advanced perspective on the field and can be used as a reference for further exploration.
Southern African Geomorphology
Paperback
Check
Southern African Geomorphology
Kindle Edition
Check
Cover image
Spatial Point Patterns
Save
Comprehensive reference on spatial point-pattern analysis. It valuable resource for researchers and practitioners working in this specialized field.
Spatial Point Patterns: Methodology and...
Hardcover
$$$
Spatial Point Patterns: Methodology and...
Kindle Edition
$$$

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Course image
Time
24 hours
Via
Coursera
Institution
Arizona State University
Instructors
Ross Maciejewsk
Huan Liu
This course belongs to a collection called Data Visualization. It's comprised of four courses:
  1. Multivariate and Geographical Data Analysis (viewing)
  2. Introduction to Data Exploration and Visualization
  3. Additional Tools Used for Data Visualization
  4. Temporal and Hierarchical Data Analysis
Good to know
Explores multivariate and geographical analysis, which are important techniques in data science
Teaches statistical techniques and software, which are essential skills for data analysis
Develops geographical knowledge and visualization skills, which are valuable for understanding spatial data
Taught by Ross Maciejewsk and Huan Liu, who are recognized for their work in data analysis and visualization
Share and help others discover this course.
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