Udemy – Geospatial Data Science with R 2024-10

Published on: 2024-11-02 20:10:26

Categories: 28

Descriptions

Geospatial Data Science with R, Embark on an exciting journey into the world of geospatial data science, and open up new possibilities for your research, business and projects. This course will equip you with the necessary skills to analyze, manipulate, and visualize spatial data using powerful tools and software libraries within the open-source R geospatial ecosystem. Follow best practices in setting up your computing environment using RStudio, R Projects and R Markdown Notebooks. Utilize appropriate syntax, data structures, functions and software packages for the given analysis. Recognise the differences between vector and raster formats, and how various types of spatial data can be represented and analyzed. Learn the techniques to load, process, and export spatial datasets, even when dealing with large files that exceed available memory (RAM). What sets this course apart from typical data science offerings is our unique focus on spatial problems. Spatial problems offer a visually rich landscape for exploration and analysis, and in this course, we’ll immerse ourselves in engaging, hands-on examples. Whether you’re an absolute beginner or a seasoned professional, this course is designed for you to ground your understanding and gain practical skills that can be put into action immediately. Join me as we embark on this new journey of learning—I look forward to seeing you in class

What you’ll learn

Hands-on learning with step-by-step code walkthroughs after each lecture
Fully downloadable code notebooks complete with scripts, data processing workflows, and accompanying explanations
All slides available as downloadable PDF
No prior coding experience needed!
Set up the computing environment for R programming following best practices
Utilize RStudio, R Projects and R Markdown Notebooks for coding efficiency and reproducibility
Use appropriate syntax, data structures, functions and software packages in R
Understand and differentiate between various representations of spatial data, such as vector and raster formats
Load, process and export spatial datasets, including those that exceed available memory (RAM)
Select and use the appropriate coordinate reference systems

Who this course is for

Beginners who want to use geospatial data as a stepping stone into coding
Data scientists, researchers or developers who want to start working with spatial data and the open-source geospatial ecosystem
Geospatial or GIS professionals seeking to automate and enhance the reliability of their work

Specificatoin of Geospatial Data Science with R

Publisher : Udemy
Teacher : Dr. Xiao Ping (XP) Song
Language : English
Level : All Levels
Number of Course : 47
Duration : 4 hours and 0 minutes

Content of Geospatial Data Science with R

Geospatial Data Science with R

Requirements

No programming experience needed. We will set up the computing environment together and cover the fundamentals of coding
Basic understanding of geospatial concepts and data is beneficial but not mandatory
A computer to follow along with the coding exercises (MacOS, Windows). This will help you practice and reinforce your understanding of the techniques learnt