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En provenance du cours de University of California, Davis

Geospatial Analysis Project

80 notes

University of California, Davis

Geospatial Analysis Project

80 notes

Cours 5 sur 5 dans Specialization Geographic Information Systems (GIS)

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.

À partir de la leçon

Milestone 4: Creating Your Maps Submission

In this module, you will continue to work through Milestone 4, creating your maps as outlined in the seventh week. You will then submit your maps for peer review.

Course Summary3:12

Rencontrer les enseignants

Nick Santos
Geospatial Applications Researcher
Center for Watershed Sciences

[MUSIC]

Hello again, and welcome back.

You did it.

Congratulations on completing all four miles Milestones in your own GIS project.

I hope it was valuable practice for you, and that you feel good about the maps and

analysis you generated as a portfolio piece you can share with coworkers and

employers.

I hope it's been a valuable process, and that you feel ready to do it again for

your next GIS project, but without the structure of this course.

As we said in the beginning of this course, the structure of this course was

designed to reflect how projects are often conducted outside of courses like this.

While the milestones are somewhat artificial because

you often blend these milestones together a bit in a non-course project.

They still represent real objectives of projects.

Let's think this through one last time.

First, you came up with an idea for an analysis.

Typically, as a question or a hypothesis.

Then you researched if it was possible.

Does the necessary data exist?

Is there an algorithm or

methodology that can be used to get the answer to your questions?

You then retrieved the data and planned your analysis.

These two steps are interdependent though.

Your analysis plan depends highly on the data you get, but

the data you can use depends on how you're able to analyze it.

Then, you actually ran your analysis.

Adapting your approach as you learned more about the data and

got preliminary results.

Finally, you assessed the results for

conclusions, and developed maps in order to present your findings.

This process is quite similar to almost

any data analysis project you'll encounter, and it's not particular to GIS.

Many of you probably have similar work flows for other projects you do.

Feel free to modify this to incorporate it into your other processes.

Just make sure to keep integrity of the results in mind.

As you can imagine though, there are many ways to accomplish the same thing, and

the process I presented to you in this course isn't the only correct way, or

even necessarily the best way.

But it is how I, and many other GIS analysts approach our projects.

I hope you had a great time with your project and

that you found new data sources, learned new things, and

solidified your GIS skills while you worked on it.

If you've taken all the courses in this specialization.

You should now have a solid foundation in spatial information and

analysis that you can use to learn more specific spatial skills for

whatever industry you want to work in.

I've also really enjoyed teaching this entire specialization, and

whether this was the only course you took, or you completed every one.

Thank you so much for signing up.

You all are the reasons we build these courses, and I hope we've taught you

something that helps you advance your career and make the world better.

Thanks for tuning in and good luck with wherever you go with GIS next.

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