GI3501 Spatial Analysis and Applications Syllabus:

GI3501 Spatial Analysis and Applications Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

 To provide exposure to Raster, Vector, Network and Geo-statistical Analysis Capabilities of GIS.

UNIT I RASTER ANALYSIS

Raster Data Exploration: Query Analysis – Local Operations: Map Algebra, Reclassification, Logical and Arithmetic Overlay Operations – Neighborhood Operations: Aggregation, Filtering – Extended Neighborhood Operations – Zonal Operations – Statistical Analysis – Cost – Distance Analysis – Least Cost Path.

UNIT II VECTOR ANALYSIS

Non-Topological Analysis: Attribute Database Query, Structured Query Language, Coordinate Transformation, Summary Statistics, Calculation of Area, Perimeter and Distance – Topological Analysis: Reclassification, Aggregation, Overlay Analysis: Point-in-Polygon, Line-in-Polygon, Polygon-on-Polygon: Clip, Erase, Identity, Union, Intersection – Proximity Analysis: Buffering.

UNIT III NETWORK ANALYSIS

Network – Introduction – Network Data Model – Elements of Network – Building a Network Database – Geocoding – Address Matching – Shortest Path in a Network –Time and Distance Based Shortest Path Analysis – Driving Directions – Closest Facility Analysis – Catchment / Service Area Analysis – Location – Allocation Analysis.

UNIT IV SURFACE AND GEOSTATISTICAL ANALYSIS

Surface Data – Sources of X, Y, Z data – DEM, TIN – Terrain Analysis – Slope, Aspect, View shed, Watershed Analysis: Watershed boundary, Flow Direction, Flow Accumulation, Drainage Network, Spatial Interpolation: IDW, Spline, Kriging, Variogram.

UNIT V CUSTOMISATION, WEBGIS, MOBILE MAPPING

Customization of GIS: Need, Uses, Scripting Languages–Embedded scripts–Use of Python script – WebGIS: WebGIS Architecture, Advantages of WebGIS, Web applications – Location Based Services: emergency and business solutions – Big data analytics.

TOTAL: 45 PERIODS
COURSE OUTCOMES:

On completion of the course, the student is expected to
CO1 Aware of different tools available in GIS for Raster and Vector data analysis
CO2 Understand GIS functionalities to analyse network and surface dataset
CO3 Know the possibilities of customization of GIS
CO4 Understand the architecture of Web GIS and its applications
CO5 Aware of concept of recent techniques like mobile mapping and LBS

TEXTBOOKS:

1. Kang-tang Chang, “Introduction to Geographic Information Systems”, 9th Edition, July 2020. ISBN: 978-9390185559.
2. Chor Pang LO, Albert K. W. Yeung, “Concepts and Techniques of Geographic Information Systems”, Pearson Education, 2nd Edition, November 2016.

REFERENCES:

1. Michael N. De Mers, Fundamentals of geographic information systems, 4th Edition, Wiley, 2008
2. John Peter Wilson, The hand book of geographic information science, Blackwell Pub., 2008