Advanced Geo Data Analysis Geo 8th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective VI) detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (GI8009), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other geo 8th sem syllabus for be 2017 regulation anna univ you can visit Geo 8th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective VI subjects do refer to Professional Elective VI. The detail syllabus for advanced geo data analysis is as follows.
Course Objective:
- To provide exposure to Various Geospatial analysis tools available in GIS
- To introduce algorithms involved in analysis of geospatial data
- To expose variety of applications of geodata analysis for solving real world problems
Unit I
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Unit II
Analysis of Spatial Patterns
Identifying spatial patterns – Statistical parameters to characterize patterns – Measuring the pattern of feature locations – Measuring the spatial pattern of feature values – Defining spatial neighborhoods and weights – Identifying clusters – Parameters for identification of clusters-Analysis of features clusters – clusters of similar values – Case Studies
Unit III
Understanding Spatial and Temporal Relationships
Analyzing geographic relationships- statistics to analyze relationships- Identifying geographic relationships – Analyzing geographic processes – Mapping Change – Various measures for quantification of change – Time Series analysis – Track Maps -Case Studies
Unit IV
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Unit V
Network Modelling
Designing a Path Model – Modelling path in networks – Modelling overland path – Flow Modelling -Modelling accumulation over surface – Tracing Flow over Network – Designing Interaction Models -Allocation of Demand to facilities – Modelling Travel to facilities – Case Studies
Course Outcome:
- Students will gain thorough knowledge on the concepts of spatial data modeling
- Students will be able to model the real time flow networks and its implementation.
References:
- Andy Mitchell (2001), The ESRI Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships, ESRI Press
- Andy Mitchell (2005), The ESRI Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics, ESRI Pres
- Andy Mitchell (2012), The Esri Guide to GIS Analysis, Volume 3: Modeling Suitability, Movement, and Interaction, ESRI Press.
For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit Geo 8th Sem syllabus for 2017 Regulation.
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