Core Spatial Data Analysis: Introductory GIS with R and QGIS
Original price was: $119.99.$19.99Current price is: $19.99.
What you’ll learn
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You will have a greater clarity of basic spatial data concepts and data types
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Carry out practical spatial data analysis tasks in freely available software
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Learn about the kind of questions that are answered through spatial analysis and where to obtain free spatial data.
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Analyze spatial data using both R and QGIS
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Process raster and vector data in both R and QGIS
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Show off your skills & gain experience by working on a real life conservation related spatial data analysis project
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Start analyzing spatial data for your own projects using two powerful freeware tools
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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.
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You’ll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
MASTER SPATIAL DATA ANALYSIS IN R & QGIS: HANDS ON TRAINING WITH A REAL SPATIAL DATA PROJECT!
Do you find GIS & Spatial Data books & manuals too vague, expensive & not practical and looking for a course that takes you by hand, teaches you all the concepts, and get you started on a real life project?
Or perhaps you want to save time and learn how to automate some of the most common GIS tasks?
I’m very excited you found my spatial data analysis course. My course provides a foundation to carry out PRACTICAL, real-life spatial data analysis tasks in popular and FREE software frameworks.
My name is MINERVA SINGH and i am an Oxford University MPhil (Geography and Environment) graduate. I am currently pursuing a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.
In this course, actual spatial data from the Tam Dao National Park in Vietnam will be used to give a practical hands-on experience of working with real life spatial data and understanding what kind of questions spatial data can help us answer. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today. Start analyzing spatial data for your own projects, whatever your skill level and IMPRESS your potential employers with an actual example of your spatial data analysis abilities.
This is a core course in spatial data analysis, i.e. we will focus on learning the most important and widely encountered spatial data analysis tasks in both R and QGIS
It is a practical, hands-on course, i.e. we will spend a tiny amount of time dealing with some of the theoretical concepts related to spatial data analysis. However, majority of the course will focus on working with the spatial data from the Tam Dao National Park, Vietnam. After each video you will learn a new concept or technique which you may apply to your own projects.
TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.
Who this course is for:
- Academics
- Researchers
- Conservation managers
- Anybody who works/will work with spatial data
12 reviews for Core Spatial Data Analysis: Introductory GIS with R and QGIS
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Original price was: $119.99.$19.99Current price is: $19.99.
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Geoffrey House –
It was helpful to see some of what’s possible with R and QGIS to import and do basic analysis on geospatial data. Some of the information is outdated with new R packages, and some of the information is glossed over very quickly during the course without any tips for troubleshooting or extending learning.
Rajesh Kumar –
The instructor has brilliantly covered various technical aspect of the concepts in her lectures of the course. The course contains extremely important concepts which have wide practical usage.
Kiran Imran –
So far, my experience with the course has been positive. I believe that the course might have been a bit more explanatory, especially with R packages and errors. The functions that we use in R might benefit from a more detailed approach. Everything else is OK.
Rishilal Yadav –
The course contains utility of important tool like QGIS and R for spatial data analysis. The course has immense possibilities for practical applications. The instructor is well-versed with minutest details of the concepts and her delivery is confident and engaging.
Raj Kumar Majumdar –
The course discusses the utility of important and useful tools for analysis of core spatial data. The instructor has explained the concept with utmost clarity and its practical utility. The course is most suited for my work and will play an important part in enhancing the quality of my work.
Ravi Srivastava –
The course contains valuable information about the utility of various tools for spatial data analysis. The course has immense potential for practical applications. The course is very useful and relevant for my work. The instructor has total command over the subject and her delivery is impressive.
Raveena Sarkar –
This is a well-structured course containing valuable information about the use of R and QGIS for spatial data analysis. Its utility for practical application can be hardly overemphasised. The instructor has complete knowledge of the subject and her delivery is effective and clear.
Nthabiseng Nooe –
I found the instructions easy to follow most of the time, I just had trouble with loading the OpenStreetMap package at the end, but it is a very good foundation on the functionalities in QGIS and R.
Sangeeta Rani –
The course contains valuable information about the utility of various tool for spatial data analysis. The concept has vast potential for practical applications. The instructor is thorough about the subject and her lectures are engaging.
Chris Loidolt –
Good course, slightly off topic for what I wanted to learn but that is my fault. Thanks!
Savanna Reid –
This is an exceptionally well-developed course, with good pacing, good use of worked examples, excellent narration, good curriculum design.
Santeri Karte –
Earlier in Section 2, more experience is expected than you’d think an introductory course would. Other than that, it’s been a good experience so far.