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Jeff Loux, Ph.D. and Nick Santos
In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project...
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In this project-based course, you will design and execute a complete GIS-based analysis – from identifying a concept, question or issue you wish to develop, all the way to final data products and maps that you can add to your portfolio. Your completed project will demonstrate your mastery of the content in the GIS Specialization and is broken up into four phases: Milestone 1: Project Proposal - Conceptualize and design your project in the abstract, and write a short proposal that includes the project description, expected data needs, timeline, and how you expect to complete it. Milestone 2: Workflow Design - Develop the analysis workflow for your project, which will typically involve creating at least one core algorithm for processing your data. The model need not be complex or complicated, but it should allow you to analyze spatial data for a new output or to create a new analytical map of some type. Milestone 3: Data Analysis – Obtain and preprocess data, run it through your models or other workflows in order to get your rough data products, and begin creating your final map products and/or analysis. Milestone 4: Web and Print Map Creation – Complete your project by submitting usable and attractive maps and your data and algorithm for peer review and feedback.
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Good to know

Know what's good
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, and possible dealbreakers
Course instructors Nick Santos and Jeff Loux, Ph.D are recognized for their contributions to the field of GIS
Provides a comprehensive overview of GIS analysis, from conceptualization to final map products
Requires learners to apply their knowledge in a practical project, building their portfolio
Assumes learners have a foundational understanding of GIS concepts

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Reviews summary

Well received geospatial analysis project

This project-based course is well received by learners, with 32 out of 37 reviews giving it a perfect score of 5 stars. It is praised for the flexible and supportive learning experience, the practical and hands-on approach, and the knowledgeable instructors. Many learners also highlight the course's relevance to real-world applications, as they are able to apply the skills and knowledge gained to their own projects.
Supportive learning community
"The knowledgeable and responsive instructors, along with a supportive learning community, contributed to an engaging and interactive experience."
Knowledgeable and responsive instructors
"@nickrsan is a great teacher who give you all you need to get started with Geo Spatial Analysis, with ArcGIS. Thank you!"
Practical, hands-on learning experience
"It was very helpful and flexible!"
"The course provided a solid theoretical foundation while emphasizing hands-on exercises and industry-standard tools."
Emphasis on real-world applications
"The geospatial course was a transformative experience, offering a comprehensive and practical exploration of spatial data analysis."
"With a strong focus on real-world applications, the course provided a solid theoretical foundation while emphasizing hands-on exercises and industry-standard tools."
Course can be lengthy
"Fun process, incoherent instructions, expectations, and grading rubric."

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 Geospatial Analysis Project with these activities:
Create a GIS Map
Create a visual representation of your data using GIS software to communicate your findings.
Show steps
  • Select the appropriate data to include on your map.
  • Design the layout and symbology of your map.
  • Generate a draft of your map.
  • Review and revise your map.
Show all one activities

Career center

Learners who complete Geospatial Analysis Project will develop knowledge and skills that may be useful to these careers:
Spatial Data Scientist
Spatial Data Scientists use geospatial data to solve problems and make predictions. This course from the University of California, Davis can help Spatial Data Scientists develop the skills and knowledge necessary to succeed in their field, including data analysis, machine learning, and GIS.
Geographic Information Systems (GIS) Analyst
GIS Analysts use geospatial data to create maps, analyze spatial relationships, and solve problems. This course from the University of California, Davis can help GIS Analysts develop the skills and knowledge necessary to succeed in their field, including data analysis, cartography, and spatial modeling.
Geospatial Data Analyst
Geospatial Data Analysts collect, process, and analyze geospatial data to inform decision-making. This course from the University of California, Davis can help Geospatial Data Analysts develop the skills and knowledge necessary to succeed in their field, including data analysis, geospatial statistics, and spatial modeling.
Urban Planner
Urban Planners use geospatial data to plan and design cities and towns. This course from the University of California, Davis can help Urban Planners develop the skills and knowledge necessary to succeed in their field, including land use planning, transportation planning, and environmental planning.
Environmental Scientist
Environmental Scientists use geospatial data to study the environment and its interactions with humans. This course from the University of California, Davis can help Environmental Scientists develop the skills and knowledge necessary to succeed in their field, including environmental modeling, land use planning, and environmental impact assessment.
Geophysicist
Geophysicists use geospatial data to study the Earth's physical properties. This course from the University of California, Davis can help Geophysicists develop the skills and knowledge necessary to succeed in their field, including seismic imaging, gravity surveying, and electromagnetic sounding.
Natural Resources Manager
Natural Resources Managers use geospatial data to manage natural resources, such as forests, parks, and wildlife. This course from the University of California, Davis can help Natural Resources Managers develop the skills and knowledge necessary to succeed in their field, including land use planning, environmental modeling, and natural resource conservation.
Oceanographer
Oceanographers use geospatial data to study the oceans. This course from the University of California, Davis can help Oceanographers develop the skills and knowledge necessary to succeed in their field, including oceanography, marine geology, and physical oceanography.
Atmospheric Scientist
Atmospheric Scientists use geospatial data to study the atmosphere. This course from the University of California, Davis can help Atmospheric Scientists develop the skills and knowledge necessary to succeed in their field, including meteorology, climatology, and air quality.
Land Surveyor
Land Surveyors use geospatial data to determine the boundaries of land parcels. This course from the University of California, Davis can help Land Surveyors develop the skills and knowledge necessary to succeed in their field, including surveying, mapping, and boundary law.
Geologist
Geologists use geospatial data to study the Earth's surface and subsurface. This course from the University of California, Davis can help Geologists develop the skills and knowledge necessary to succeed in their field, including mapping, remote sensing, and GIS.
Remote Sensing Analyst
Remote Sensing Analysts use satellite imagery and other data to study the Earth's surface. This course from the University of California, Davis can help Remote Sensing Analysts develop the skills and knowledge necessary to succeed in their field, including remote sensing, image processing, and GIS.
Photogrammetrist
Photogrammetrists use aerial and satellite imagery to create maps and 3D models of the Earth's surface. This course from the University of California, Davis can help Photogrammetrists develop the skills and knowledge necessary to succeed in their field, including remote sensing, image processing, and GIS.
Water Resources Engineer
Water Resources Engineers use geospatial data to manage water resources. This course from the University of California, Davis can help Water Resources Engineers develop the skills and knowledge necessary to succeed in their field, including water quality modeling, flood risk assessment, and water conservation.
Cartographer
Cartographers design and create maps used for many purposes, such as navigation, land use planning, and environmental protection. This Geospatial Analysis Project course from the University of California, Davis may be useful for those interested in a career as a Cartographer, as it provides a foundation in the principles and techniques of geospatial analysis, which is essential for creating accurate and informative maps.

Reading list

We've selected 14 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 Geospatial Analysis Project.
Provides a comprehensive overview of GIS and its applications in environmental management. It covers topics such as data acquisition, processing, analysis, and visualization.
Provides a comprehensive overview of advanced spatial analysis techniques, such as cluster analysis, spatial regression, and kriging. Useful for those with a strong foundational knowledge of GIS and spatial analysis, this book provides more advanced and specialized techniques.
Provides a well-rounded introduction to modern spatial statistical analysis including theory, methods, and applications. Useful for those with a foundational knowledge of GIS and spatial analysis, this book provides a bridge between introductory and advanced concepts in the field.
This practical guide provides step-by-step instructions for using ArcGIS Pro, a widely used GIS software package.
This comprehensive reference book provides an introduction to the R programming language, which is widely used for statistical analysis and data visualization.
This practical guide provides an introduction to Python programming for data analysis, including topics such as data manipulation, visualization, and machine learning.
Provides foundational knowledge of basic GIS operations and spatial analysis techniques. Useful for those who are completely new to the field, this book has a longer learning curve than other books on this list and may be used as a prerequisite for other books on this list.
This advanced textbook provides a comprehensive overview of geospatial analysis, covering topics such as spatial statistics, geostatistics, and remote sensing.
Provides foundational knowledge of basic GIS operations and spatial analysis techniques. Useful for those who are completely new to the field, this book has a longer learning curve than other books on this list and may be used as a prerequisite for other books on this list.
This textbook introduces the statistical methods used for analyzing spatial data, such as point patterns, spatial autocorrelation, and kriging.
This practical guide provides instructions for creating interactive web maps using open source tools and technologies.
This textbook introduces the use of R for geospatial analysis, covering topics such as data import, manipulation, and visualization.
This textbook provides an overview of GIS and its applications in various fields, such as natural resources management, urban planning, and transportation.

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