[Intermediate] Spatial Data Analysis with R, QGIS & More
What you’ll 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
PRACTICAL TRAINING WITH REAL SPATIAL DATA FROM DIFFERENT SOURCES.
—————————————————————————————————————-
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH.
—————————————————————————————————————-
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. Â
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. Â
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. Â 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!
Who this course is for:
- People who have a basic understanding of spatial data analysis and want to learn more
- Students interested in building up on skills acquired through my previous course Core Spatial Data Analysis: Introductory GIS with R and QGIS
- Academics
- Conservation managers
- GIS Technicians
12 reviews for [Intermediate] Spatial Data Analysis with R, QGIS & More
Add a review
Original price was: $119.99.$19.99Current price is: $19.99.
Manonmani R –
Course was very useful but R was little confusing
Carolin Reger –
Quite outdated, mostly course participants try to help with all the occurring errors and several sections simply can’t be finished since the libraries/functions are not available.
James Smith –
-ASK ME LATER
Anonymized User –
It is a comprehensive course brilliantly explaining various tools for Spatial Data Analysis. The instructor has in depth knowledge of the subject and has forceful and effective delivery style.
Sushil Kumar –
Course is easy to learn as communicated in simple way with a lot of material in it.
RKM singh –
The modes and techniques for spatial data analysis have been brilliantly explained in the course. The instructor has thorough knowledge of the subject and her delivery is engaging. The course contains valuable information.
Ajay Rai –
This course has a lot of material to lean and useful for me
Rajesh Kumar –
it is a comprehensive course covering in detail various tools used for analyzing spatial data. The course contains useful information and has immense possibilities for practical use of concepts. The instructor has deep knowledge of the subject and her delivery is clear and engaging.
Raj Kumar Majumdar –
This is an ideal course for learning the application of various tool for spatial data analysis. The concept has immense potential for practical use. By adopting the concept for my work, I will significantly improve the quality of my work.
Anonymized User –
Very good course. Knowledgeable
Rosa Pinto –
Tad dated GIS content but a comprehensive coverage of R, QGIS and GRASS
Raveena Sarkar –
This is an amazing course which has vast potential for practical applications. I will personally benefit from this course as it is ideally relevant for my work. The instructor’s knowledge of the subject is impressive and her delivery interesting and engaging.