Geospatial Analysis With R Programming detailed syllabus for Geoinformatics Engineering (Geoinformatics) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Geoinformatics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Geoinformatics Engineering 7th Sem scheme and its subjects, do visit Geoinformatics 7th Sem 2019 regulation scheme. The detailed syllabus of geospatial analysis with r programming is as follows.
Course Objective:
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Unit I
Introduction To R
Introduction, History and overview of R, elements and data structures, Sessions and Functions, Variables, Data Types, Vectors, Scalars, Conclusion, Data Frames, Lists, Matrices, Arrays, Classes, Data input/output, Data storage formats, Subsetting objects, Vectorization
Unit II
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Unit III
Data Manipulation
Math and Simulation in R, Functions, Math Function, Probability Calculation – Cumulative Sums and Products- Minima and Maxima- Data sorting, Linear Algebra Operation on Vectors and Matrices, Set Operation
Unit IV
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Unit V
Statistical Data Analysis
Basic Statistics, Outlier, regression Analysis: Linear, Multiple, Logistic, Poisson, Survival Analysis, Nonlinear Models: Splines, Decision Tree, Random Forests, Support Vector Machine, Clustering, Correlation, Covariance, Statistical simulation, T-Tests
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
References:
- Mark Gardener, Beginning R -The Statistical Programming Language, John Wiley and Sons, Inc., ISBN: 9781118164303, 2012.
- Chris Brunsdon, Lex Comber, An Introduction to R for Spatial Analysis and Mapping, 2nd RevisedEdition, Sage Publications Ltd (UK), ISBN: 9781446272954, 2019
- Jared P. Lander, R for Everyone Advanced Analytics and Graphics, 2nd Edition, Addison-Wesley Professional PTG, ISBN: 9780134546926, 2017
- Hamid Reza Pourghasemi, Spatial Modeling in GIS and R for Earth and Environmental Sciences, Elsevier (S&T), ISBN: 9780128152263, 2019
- Michael J. Crawley, The R Book, 2nd Edition, Wiley-Blackwell, ISBN: 9780470973929, 2012
Course Outcome:
On completion of the course, the student is expected to be able to
- State the capabilities of R and its data, variable types
- Describe various operators, control statements and scoping rules in R
- Apply R programming for manipulation of datasets
- Produce various graphs and distribution plots using R
- Analyse dataset using Statistical Tools available in R
For detailed syllabus of all other subjects of Geoinformatics Engineering, 2019 regulation curriculum do visit Geoinformatics 7th Sem subject syllabuses for 2019 regulation.
For all Geoinformatics Engineering results, visit Anna University Geoinformatics all semester results direct link.