Geospatial Data Engineering

Geospatial Data Engineering

Instructor: Caleb Phillips

Included with Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Identify basic geospatial data types and formats
Manipulate and reproject data to suit the needs of particular engineering tasks
Apply data engineering concepts to spatial data to design systems for querying, access and efficient data organization

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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There are 4 modules in this course

This course introduces foundational concepts in geospatial data organization, processing, and management using free and open-source tools. Learners will explore spatial reference systems and projections, common geospatial data formats, GIS-based manipulation and visualization, and programming workflows for reading, transforming, and analyzing spatial data. The course concludes with an introduction to database and cloud-based approaches for storing, querying, and managing large or complex geospatial datasets.

This module introduces spatial reference systems, coordinates, and projections - the mathmatical and engineering systems for how we refer to locations on the Earth in an unambiguous and portable way.

What's included

4 videos1 reading1 assignment1 ungraded lab

This module introduces common ways spatial data are stored and accessed in files and how they can be manipulated and visualized with GIS software. The module will provide some examples using US Census data.

What's included

3 videos1 assignment1 ungraded lab

This module extends the two prior modules to introduce concepts for programming with geospatial data formats and leveraging coordinate systems and projections. It is organized into three submodules: data I/O, which introduces methods of reading and writing spatial data to files, R & Grass, which introduces two programming environments useful for working with spatial data, lastly a programming exercise oriented around a research question.

What's included

6 videos3 readings2 assignments1 programming assignment2 ungraded labs

6 videosTotal 73 minutes

Programming Environments11 minutes
Raster Data Access and Manipulation9 minutes
Vector Data Access and Manipulation7 minutes
Intro to R (Part 1)12 minutes
Intro to R (Part 2)17 minutes
Intro to GRASS17 minutes

3 readingsTotal 45 minutes

Dietary Patterns and Agricultural Carrying Capacity30 minutes
GGMap in 2 Pages10 minutes
GRASS Tutorials5 minutes

2 assignmentsTotal 25 minutes

Carrying Capacity5 minutes
GIS Programming20 minutes

1 programming assignmentTotal 60 minutes

Research Practice: Carrying Capacity60 minutes

2 ungraded labsTotal 120 minutes

Data I/O Sandbox60 minutes
Practice with R60 minutes

This final module goes beyond individual file formats and considers how to utilize database systems and cloud systems to store more complex or large spatial data.

What's included

3 videos2 readings1 assignment1 ungraded lab

Instructor

Caleb Phillips

University of Colorado Boulder

1 Course1 learner

Offered by

University of Colorado Boulder

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