Core Spatial Data Analysis: Introductory GIS with R and QGIS

Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project - Get A Job In Spatial Data!

4.52 (2191 reviews)

Udemy

platform

English

language

Math

What you will learn

You will have a greater clarity of basic spatial data concepts and data types

Carry out practical spatial data analysis tasks in freely available software

Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.

Analyze spatial data using both R and QGIS

Process raster and vector data in both R and QGIS

Show off your skills & gain experience by working on a real life conservation related spatial data analysis project

Start analyzing spatial data for your own projects using two powerful freeware tools

You'll have a copy of all the data and R scripts used in the course will be provided to students for their reference and to use in their own analysis.

You'll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches

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Core Spatial Data Analysis: Introductory GIS with R and QGIS – Screenshot 4 — Screenshot 4 – Core Spatial Data Analysis: Introductory GIS with R and QGIS

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Our Verdict

Core Spatial Data Analysis: Introductory GIS with R and QGIS is a solid starting point for individuals seeking an overview of spatial data analysis. While it has room for improvement in terms of thoroughness and updating, the course's value lies in its ability to pique curiosity and equip learners with foundational skills necessary to explore further possibilities in spatial data analysis.

What We Liked

The course provides a comprehensive introduction to spatial data analysis using R & QGIS, making it an ideal starting point for those new to the field.
Examples of real-life conservation projects enhance the learning experience, offering valuable insights into practical applications of spatial data analysis.
The step-by-step approach helps build confidence in handling spatial data, even if you have no prior experience with GIS software.

Potential Drawbacks

Some explanations and instructions could be more detailed and thorough to prevent confusion for beginners and avoid frustrations.
Limited QGIS lectures may leave some students wanting more guidance on using this specific software; the course focuses primarily on R.
As the field evolves rapidly, maintaining currency with software updates can be challenging; occasional outdated information might be encountered.