[Intermediate] Spatial Data Analysis with R, QGIS & More

Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH

4.57 (573 reviews)
Udemy
platform
English
language
Math
category
instructor
6,209
students
5 hours
content
Nov 2023
last update
$74.99
regular price

What you will learn

Carry out the most common spatial data analysis and GIS tasks using free software tools

Perform advanced spatial data analysis and mapping using both R and QGIS

Develop robust map-making skills including harnessing the power of Google Earth.

Get started with using the powerful, freeware tool GRASS GIS for some spatial data analysis tasks

Stop spending money on paid-for GIS software tools

Have a solid foundation to learn advanced GIS tasks

Gain experience in working with a variety of different spatial data and gain hands-on expertise

Description

PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.

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DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.

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This course is designed to take users who use R and QGIS for basic spatial data/GIS analysis to perform more advanced GIS tasks (including automated workflows and geo-referencing) using a variety of different data. In addition to making you proficient in R and QGIS for spatial data analysis, you will be introduced to another powerful free GIS software.. GRASS.

This course takes a completely practical approach to spatial data analysis and mapping- Each lecture will teach you a practical application/processing technique which you can apply easily.

The course is taught by Minerva Singh, A PhD graduate from Cambridge University, UK, who has several years of research experience in Quantitative Ecology and an MPhil in Geography and Environment from Oxford University. Minerva has published papers in international peer reviewed journals and given talks at international conferences.  

The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. You’ll be able to start analyzing spatial data for your own projects, and IMPRESS YOUR FUTURE EMPLOYERS with examples of your PRACTICAL spatial data analysis abilities. This course is different from other training resources. Each lecture seeks to enhance your GIS skills in a demonstrable and tangible manner and provide you with practically implementable GIS solutions.

This is an intermediate course in spatial data analysis, i.e. we will build on on basic spatial data analysis tasks (such as those covered in the beginner version course: Core Spatial Data Analysis: Introductory GIS with R and QGIS) and teach users how to practically implement more complex GIS tasks such as interpolation, mapping spatial data, geo-referencing and detailed vector processing. Additionally you will be introduced to preliminary geo-statistics and mapping/visualizing spatial data.

This course covers complex GIS techniques, and by completing this course, you will be implementing these PRACTICALLY in freely-available software, thus making you MORE ATTRACTIVE TO EMPLOYERS.  

It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts pertaining to the different spatial data analysis techniques demonstrated in the course. However, majority of the course will focus on working with real spatial data from different sources. After each video you will learn how to practically implement a new concept or technique in the different softwares used for the course.

During the course of my research I have discovered that R is a powerful tool for collating and analyzing spatial data acquired from different sources.  Proficiency in spatial data analysis in R and QGIS has helped me publish more peer reviewed papers faster. Feel free to check out my profile on ResearchGate.

FREE BONUS: You will have access to all the data used in the course, along with the R code files. You will also have access to future lectures, resources and R code files. Enroll in the course today & take advantage of this special bonus!

I don’t have to remind you that we have a RISK-FREE GUARANTEE in the case of you not being satisfied with the course. Take action now!



Content

INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

Introduction: Welcome to the Course
Brief Introduction to the Concepts of Spatial Data Analysis
Get Started with R and QGIS
Get Started with GRASS
Conclusion to Section 1
Introduction Quiz

MAPPING THE VISUALIZATION & DISTRIBUTION OF SPATIAL DATA: Shapefile Analysis

Introduction to shapefiles and exploring their properties in QGIS
Visualize Shapefiles Using Qualitative Attributes in QGIS
Visualize Shapefiles Using Quantitative Attributes in QGIS
Introduction to Shapefile Mapping in R
More Shapefile Mapping in R
Spatial Data Mapping with ggplot2 and Google Earth in R
Conclusion to Section 2
Spatial Data Visualization Quiz

VECTOR GEO-PROCESSING: Detailed Analysis & Processing of Shapefile Data

Spatial joins in QGIS
Spatial joins in R
Basic Shapefile statistics in QGIS & R
Add Buffer Areas to Shapefiles in QGIS
Add Buffer Areas to Shapefiles in R
Create Outer Buffers in R and QGIS
Data used in Clip, Union and Intersection in QGIS
Union of Two Shapefiles in QGIS
Clip Vector Data in QGIS
Intersection of two vectors in QGIS
Clipping and Intersection operations in R
Conclusion to Section 3
Vector Geo-Processing Quiz

POINT PATTERN ANALYSIS: Analyze & Map XY Point Spatial Data

Heat maps in QGIS
Map Spatial Distribution of Point Data-Brief Introduction
Map Spatial Distribution of Point Data in R
Plot a Heatmap on Google Earth using R
Brief Introduction to the Concepts of Interpolation
Interpolating point data in QGIS
Interpolating point data in R-Thin Spline Interpolation
Interpolating point data in R-Inverse Distance Weighting(IDW)
Interpolating point data in R-Kriging
Interpolating point data in GRASS
Conclusion to Section 4
Point Pattern Analysis Quiz

RASTER DATA PROCESSING: Map and Analyze Image Data

Display Raster Data in QGIS
Display Raster Data in R
Zonal Statistics in QGIS
Merge Rasters in QGIS
Merge Rasters in R
Clip a Raster Using a Shapefile in QGIS & R
Clip a Raster Using a Shapefile in GRASS GIS
Terrain analysis in GRASS GIS
Geo-referencing in QGIS
Conclusion to Section 5
Raster Processing Quiz

OTHER (SLIGHTLY) ADVANCED GIS TASKS

Rationale For This Section
Graphical Modeler in QGIS: Automating Analysis with Processing Models
Multi-Criteria Decision Making/Suitability Analysis-Theory
Multi-Criteria Decision Making/Suitability Analysis in QGIS
Web Mapping in QGIS- Brief Introduction
Web Mapping in R- Build a Basic Interactive Map
CONCLUSION

Additional Material

Work With R's Inbuilt Geospatial Data
Use ggplot2 to visualize geographic data

Screenshots

[Intermediate] Spatial Data Analysis with R, QGIS & More - Screenshot_01[Intermediate] Spatial Data Analysis with R, QGIS & More - Screenshot_02[Intermediate] Spatial Data Analysis with R, QGIS & More - Screenshot_03[Intermediate] Spatial Data Analysis with R, QGIS & More - Screenshot_04

Reviews

Rossey
November 2, 2023
The course is beyond my expectations as it contains valuable information which has immense practical value.
Vipin
November 2, 2023
This is an ideal course for studying the utility and importance of various tools for spatial data analysis.
Hanna
September 4, 2023
Apart from one or two topics, I would consider this course to be still a beginner's course. The more complex topics are only very briefly touched upon and could go into more depth.
Anonymized
August 21, 2023
The course contains useful and updated information about the utility of various tools for spatial data analysis.
Shane
July 10, 2023
Hrmm the course is taught at a graduate student level. Which can be fine if that's something you're expecting. My biggest issue, which in itself is educational, was that 49% of the code is outdated. You'll see her suggest using the old versions of the software. This is one solution, but more helpful would be to find code that we can use today. I definitely spent more time messing with the code and AI to try and get things to work but most didn't. Watching the videos was still educational. The instructor worked very hard on this and I can see that and it shows. TLDR; the provided code examples from the course are full of bugs in 2023 so for most of this course it will be only watching videos.
Gunin
May 12, 2023
Seems interesting! Excited to continue and complete as soon as possible. Hope, this course provide me strong foundation for Spatial Analysis using R and QGIS.
Jan
April 13, 2023
A little bit outdated, but most of materials are good. To work with Google Earth you need to make account and remember not to use too much data in order to not pay for using it. (there is no information about it)
Jaskaran
April 2, 2023
The instructor's presentation regarding the utility and importance of various tools for spatial data analytics is par excellent.
carson
January 3, 2023
O Curso está desatualizado no que diz respeito ao uso do R para manipulação de dados geográficos. As ferramentas sugeridas estão antigas e hoje mais recursos estão disponíveis no R, em termos de manipulação e visualização.
Mukesh
November 7, 2022
The course contains valuable information about the utility and importance of various tools for spatial data analytics.
Krishnappa
August 22, 2022
The course containing the utility of various tools for spatial data analysis has been brilliantly presented by the instructor.
Rajesh
July 12, 2022
The instructor has explained in the simplest way the utility and application of various tools for spatial data analysis.
Anonymized
April 12, 2022
The instructor's knowledge and presentation about the importance and utility of various tools for spatial data analysis is superb. Her lectures are engaging.
Anonymized
April 6, 2022
The instructor has brilliantly explained the importance and utility of various tools for spatial data analysis.
Amy
March 27, 2022
I had a lot of fun with this course! I was interested in the course for the R programming language portion, as I am trying to develop my skills with R. The lessons were easy to follow and it very satisfying to see the end products of each lesson. I have experience with ArcGIS Desktop/Pro, so the QGIS portions were very intuitive though I hadn't used this program before. This course was a great intro to spatial analysis with R and QGIS, and I can't wait to apply these skills at work and learn more about the capabilities of both programs!

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1030486
udemy ID
12/3/2016
course created date
8/23/2019
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