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.
このコースはGeographic Information Systems (GIS) の専門講座に属します。
Geospatial Analysis Project
提供：
学習内容
Create a GIS project proposal
Develop a hypothesis for a GIS-based question
Complete a data analysis in line with your project objectives
Interpret and explain the results you obtained in comparison to your original GIS question and/or hypothesis
習得するスキル
このCourseを受講している学習者は
- Geologists
- Biologists
- Data Analysts
- Data Scientists
- Researchers
シラバス - 本コースの学習内容
Course Overview and Milestone 1: Project Proposal
In this milestone, you will have weeks 1 and 2 to build a project proposal that contains your research question or hypothesis, background information, potential data sources and methods, and your expected results. This proposal will lead you into future milestones by providing a guide to help keep your analysis on track. You will start by getting an overview of the entire project and the assignment for this first milestone. From there, you will learn about some sources for project ideas and data sources and look at an example project proposal.
Milestone 1: Project Proposal Submission
In this module, you will continue to work through Milestone 1, your project proposal as outlined in the first week. You will then submit your proposal for peer review.
Milestone 2: Planning Your Workflow
In this milestone, you will have week 3 to practice your algorithmic development. In the previous milestone, you posed a question you want to answer - now you'll develop a plan, your algorithm, for how to answer that question with GIS. In practice, this means you'll develop a ModelBuilder model that shows your planned analysis workflow, or some part of it. For those of you who are conducting an analysis that's not conducive to making a model, you can write out your series of steps instead. Regardless, by the end of this module, you'll have a plan for how to produce your results.
Milestone 3: Data Analysis
For this milestone, you will have weeks 4, 5, and 6 to process your data according to the model you created in the previous milestone, reinforcing your data analysis concepts and practice. When you complete your analysis, you will add metadata to any resulting layers, and you will also write an assessment of what the results mean and how they answer your research question.
40%
46%
25%
Geospatial Analysis Project からの人気レビュー
Excellent course and excellent specialization! I got new knowledge and great pleasure from studying! Many thanks to Coursera, UC Davis and personally to Nick Santos!
Excellent course, I really liked pursuing the project of my choice and facing and demolishing all the challenges I faced on my way to the completion of the project.
講師
Nick Santos
Geospatial Applications Researcherカリフォルニア大学デービス校（University of California, Davis）について
Geographic Information Systems (GIS)専門講座について
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