GI3601 Subject code deals with the semester VI Subject Geospatial Analysis With R Programming of Anna University 2021 Revised regulation syllabus of B.E Geo Informatics Engineering. It is provided based on the student’s point of view to prepare well for academic examinations.
In this article, we would like to discuss the GI3601 – Geospatial Analysis With R Programming Syllabus. To get good marks in the academic examinations, need a certain guide to assist you with the chapter-wise syllabus right? We include the chapter-wise syllabus for students, to assist them simply. A clear picture of the syllabus in your mind helps to understand the topics from every unit or chapter.
Then you will get an idea of where to begin from the whole syllabus by separating the topics easy from hard topics. Having command of the subject syllabus makes it easy to revise the syllabus for examination and helps you to excel in academics. The following article will give you sufficient information regarding the syllabus. Don’t forget to share it with your friends.
If you want to know more about the syllabus of B.E Geo-Informatics Engineering connected to affiliated institutions under a four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Geo-Informatics Engineering Syllabus Anna University, Regulation 2021. Hoping this information is useful to you.
Aim Of Concept:
- To expose the variables, expressions, control stations of R
- To use R Programming for Analysis of data and visualize outcome in form of graphs, charts
- To analysis data using various statistical tools like correlation and regression
GI3601- Geospatial Analysis With R Programming Syllabus
Unit I: Introduction To R
Introduction – History and overview – elements and data structures – Sessions and Functions Variables – DataTypes – Vectors – Scalars – Conclusion – DataFrames – Lists – Matrices – Arrays Classes – Data input/output – Data storage formats – Sub setting objects – Vectorization
Unit II: Programming In R
R Programming – Arithmetic and Boolean Operators and values – Structures – Control Statements – Loops – Pointers – Recursion – Scoping Rules – Loop functions – Array and Matrices
Unit III: Data Manipulation
Math and Simulation – 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: Data Visualisation And Probability Distribution
Graphics – Creating Graphs – Customizing Graphs – lattice library- Visualization – Box plot – Histogram – Pareto charts – Pie graph – Line chart – Scatter plot – Developing graphs – Probability Distributions: Normal – Binomial – Poisson and Other Distributions.
Unit V: Statistical Data Analysis
Basic Statistics – Outlier – regression Analysis: Linear – Multiple – Logistic – Poisson – Survival Analysis and Nonlinear Models: Splines – Decision Tree – Random Forests – Support Vector Machine – Clustering – Correlation – Covariance – Statistical simulation – T-Tests.
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 Revised Edition, 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.
Related Posts On Semester -VI:
- GI3691 – Airborne and Terrestrial Laser Mapping
- GI3611 – Spatial Analysis and Applications Laboratory
- GI3612 – Survey Camp (2 Weeks)