The document is an examination paper for the B.Sc. IT program at Mumbai University, focusing on Geographic Information Systems. It contains multiple-choice questions covering various topics such as rasterization, vectorization, data queries, map production, and spatial interpolation methods. Students are required to attempt a specified number of questions from different sections, demonstrating their understanding of GIS concepts and operations.

1. GEOGRAPHIC INFORMATION SYSTEMS
DECEMBER – 2018 | IDOL: REVISED COURSE
MUMBAI UNIVERSITY
B.SC.IT: SEM-VI
IDOL
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Time: 3 Hours Total Marks: 100
N.B.: (1) All Questions are Compulsory.
(2) Make Suitable Assumptions Wherever Necessary And State The Assumptions Made.
(3) Answer To The Same Question Must Be Written Together.
(4) Number To The Right Indicates Marks.
(5) Draw Neat Labeled Diagrams Wherever Necessary.
(6) Use of Non-Programmable Calculators is allowed.
Q.1 ATTEMPT ANY TWO QUESTIONS: (10 MARKS)
(A) What is Rasterization and Vectorization? (5)
(B) Explain Raster Data Query. (5)
(C) Explain the process of Map Production. (5)
(D) Explain the difference between Ordinary and Universal Kriging Method. (5)
Q.2 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) Difference between Vector data & Raster Data. (5)
(B) Short note on TIGER. (5)
(C) What is Geodatabase Model? Explain its advantage. (5)
(D) What is Projected Coordinate System? Explain ant one system. (5)
(E) Explain the following terms of object based data model and give suitable example:
i. Aggregation
ii. Association
(5)
(F) List and explain GIS Operations related to Data Analysis. (5)
Q.3 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) What are the existing GIS Data Available? Explain any two. (5)
(B) Write a short note on Scanning. (5)
(C) Explain the various Data Conversion Techniques available in GIS Package. (5)
(D) List and explain the various Transformation Methods available. (5)
(E) Explain the Bilinear Interpolation Resampling Method with suitable example. (5)
(F) What is Root Mean Square error in Geometric Transformation? Explain the Role of RMS error in Affine
Transformation.
(5)
Q.4 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) What is Attribute Data? Explain how Attribute Data is represented in GIS. (5)
(B) What is Relational Database? Explain with an example. (5)
(C) Explain File and Hierarchical Database with suitable example. (5)
(D) Explain the importance of Layout in Map Designs. (5)
(E) List the various types of Maps available and explain any two in detail. (5)
(F) What is Cartography? Explain its Basic Element (Symbolization). (5)

2. GEOGRAPHIC INFORMATION SYSTEMS
DECEMBER – 2018 | IDOL: REVISED COURSE
MUMBAI UNIVERSITY
B.SC.IT: SEM-VI
IDOL
| | | | | | | | | | 2 | Page
Q.5 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) Define Data Exploration. What is Descriptive Statistics? (5)
(B) What are the different types of Graphs used for Data Exploration? (5)
(C) Explain SQL used for Attribute Data Query in GIS with the help of an example (5)
(D) Explain with suitable example the query by Cell Value Type of Raster Data Query. (5)
(E) Explain the various spatial feature Selection Processes in Spatial Data Query. (5)
(F) Explain the Map Based Data Manipulation that is commonly used in GIS and Geovisualization. (5)
Q.6 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) What is Overlay and explain the Common Errors in it. (5)
(B) Explain the following map manipulation operations with example:
i. Clip
ii. Split
(5)
(C) What is Raster Data Analysis Environment? Explain. (5)
(D) Explain Zonal Operations and its Applications. (5)
(E) Write a short note on Distance Measurement. (5)
(F) Explain Local Operations and its Applications. (5)
Q.7 ATTEMPT ANY THREE QUESTIONS: (15 MARKS)
(A) Explain the Thiessen Polygons Method for Spatial Interpolation. (5)
(B) What is Kriging? Explain. (5)
(C) Explain the Density Estimation Local Method. (5)
(D) Explain the Global methods used for Spatial Interpolation. (5)
(E) Describe how Semivariance can be used to qualify the Spatial Dependence in a Data Asset. (5)
(F) Explain how one can use the Validation Technique for comparing different Interpolation Methods. (5)