BSc IT Sem VI 2016 17 2016-17 GIS SemVI Question Paper - Mumbai University | munotes

Questions asked in this paper

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1. Q1 Attempt any two of the following: 10 marks
   • a. and explain GIS operations related to data analysis
   • b. a short note on rasterization
   • c. Explain the universe transverse Mercator (UTM) grid system. Give suitable example
   • d. the following terms of object based data model and give suitable example
2. Q2 Attempt any two of the following: 10 marks
   • a. Root Mean Square error in geometric transformation. Explain the role of RMS error in Affine transformation
   • b. Explain the map-to-map and image-to-map transformation
   • c. the common resampling methods and explain them
   • d. the bilinear interpolation resampling method with suitable example
3. Q3 Attempt any two of the following: 10 marks
   • a. different types of attribute table
   • b. file and hierarchical database with suitable example
   • c. Explain
   • d. Explain relational database with suitable example
4. Q4 Attempt any two of the following: 10 marks
   • a. Explain data exploration
   • b. spatial data query with suitable example
   • c. Explain with suitable example the query by cell value type of raster data query
   • Q. P. Code: 08226
   • d. the output of the following for a statement (slope = 2.) AND (Aspect =1)
5. Q5 Attempt any two of the following: 10 marks
   • a. Explain Buffering
   • b. and explain various overlay operations based on feature type
   • c. the following map manipulation operations with example
   • d. Explain the reclassification local operation of raster
6. Q6 Attempt any two of the following: 10 marks
   • a. and explain the types of spatial interpolation
   • b. the Density Estimation local method
   • c. What is Kriging? Explain
   • d. Define following
7. Q7 Attempt any three of the following: 15 marks
   • a. the different components of GIS
   • b. a short note on metadata Explain normalization with suitable example
   • d. note on feature selection by graphic data query Find the zonal mean for the input raster(a) using a zonal raster(b)
   • f. Describe how semivariance can be used to qualify the spatial dependence in a data

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