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University of California, Davis - Geospatial Analysis Project 

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Geospatial Analysis Project
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Coursera 
Overview

Duration

62 hours

Start from

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Geospatial Analysis Project
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Course 5 of 5 in the Geographic Information Systems (GIS) Specialization
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Approx. 62 hours to complete
  • English Subtitles: French, Portuguese (European), Russian, English, Spanish
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Geospatial Analysis Project
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • 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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Geospatial Analysis Project
 at 
Coursera 
Curriculum

Course Overview and Milestone 1: Project Proposal

Course Overview

Project Proposal Overview

Vector-Based Suitability Analysis (Review from Imagery, Automation, and Applications)

Classifying Imagery and Derived Products (Review from Imagery, Automation, and Applications)

Course Project Overview

Getting Help in this Course

Milestone 1 Assignment Preview

Finding Project Ideas

Data Sources For Your Project

Example Project Proposal

Extra Practice: Make Your Project a Website

Milestone 1: Project Proposal Submission

Milestone 2: Planning Your Workflow

Planning Your Workflow Overview

What is ModelBuilder? (Review from Imagery, Automation, and Applications)

Creating Toolboxes and Tools with ModelBuilder (Review from Imagery, Automation, and Applications)

Setting Up a Larger Model (Review from Imagery, Automation, and Applications)

Using Interface Tools as Geoprocessing Tools in ModelBuilder (Review from Imagery, Automation, and Applications)

Feature Layers and Selections in Models (Review from Imagery, Automation, and Applications)

Branching, Preconditions, and Viewing Progress Interactively (Review from Imagery, Automation, and Applications)

Polishing Models for Reuse (Review from Imagery, Automation, and Applications)

Advanced Models and Exporting Models to Python (Review from Imagery, Automation, and Applications)

Milestone 2 Assignment Preview

Extra Practice: Data Analysis

Milestone 3: Data Analysis

Data Analysis Overview

Milestone 3 Assignment Preview

Example Methods and Results Document

Milestone 3: Data Analysis Continue

Assessing Data Quality and Uncertainty (Review from Data Formats, Design, & Quality)

Data Quality (Review from Data Formats, Design, & Quality)

Metadata (Review from Fundamentals of GIS)

Milestone 3: Data Analysis Submission

Milestone 4: Creating Your Maps

Creating Your Maps Overview

Uploading Rasters to ArcGIS Online

Loading Layers in ArcGIS Online (Review from GIS Data Formats, Design, and Quality)

Applying Symbology in ArcGIS Online (Review from GIS Data Formats, Design, and Quality)

Map Annotations and Scaling in ArcGIS Online (Review from GIS Data Formats, Design, and Quality)

Saving and Sharing Maps with ArcGIS Online (Review from GIS Data Formats, Design, and Quality)

Milestone 4 Assignment Preview

Extra Practice: Cartography and Online Maps

Milestone 4: Creating Your Maps Submission

Course Summary

Extra Practice: Make Your Project a Website

Faculty Icon

Geospatial Analysis Project
 at 
Coursera 
Faculty details

Nick Santos
University : University of California, Davis

Geospatial Analysis Project
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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