Registration and Course Fees
- Price: INR 9999
- Instrutor: Dr. Arjita Saxena
- Duration: 30 Days
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Lessons:
60
About This Training
Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.
This course is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.
Course Objective and Outcome
- This course is your companion for applying machine learning algorithms on GIS and remote sensing data.
- You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS.
- Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS.
Requirements (Who Can Attend the Training?)
- Students should have prior QGIS basic to Advance Level Knowledge.
Features of the Program
- This course is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.
Course - Duration / Training Methodology
- Total Duration - 60 Days
- Bangalore - Classroom + Practicals.
- Online - Live Online Classes. Daily 2 Hrs(Need to have a laptop or Computer with Good Internet)
- Dedicated Trainer, Practical sessions. One-on-One Live Training Session.
Whatsapp/Call to +91-8209862423
The Course Fees can be negotiated depending upon the number of students and all the students will receive the Certificate from Artis Aeris Pvt. Ltd.
Topics for This Course
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Installing R
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Basic data types and the data structure in R
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Looping, functions, and apply family in R
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Plotting in R
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Installing QGIS
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Getting to know the QGIS environment
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GIS in R
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Vector data in QGIS
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Summary
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Questions
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Further Reading
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Getting data from the web
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Creating vector data
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Digitizing a map
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Working with databases
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Working with vector data in R
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Working with vector data in QGIS
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Summary
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Remote Sensing Using R and QGIS
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Basics of remote sensing
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Working with raster data in R
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Working with raster data in QGIS
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Summary
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Introduction to point pattern analysis
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Analysis of point patterns
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Summary
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Testing autocorrelation
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Modeling autocorrelation
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Generalized linear model
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Spatial interpolation
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Geostatistics
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GRASS, Graphical Modelers, and Web Mapping
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GRASS GIS
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Web mapping
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Classification of Remote Sensing Images
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Classification of raster data
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Supervised classification
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Unsupervised classification
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