Explain the scope of Python programming in geospatial analysis.
See Answer →Discuss the use of R in image transformation giving suitable examples.
See Answer →GIS customisation using Python
See Answer →Image classification using R
See Answer →Give an account of GIS processing in Google Earth Engine.
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Describe the role of Google Earth Engine in raster data processing and visualisation.
See Answer →Image preprocessing using R
See Answer →Thematic information extraction in GEE
See Answer →A sample of 870 trainees was subjected to different types of training classified as intensive, good and average and their performance was noted as above average, average and poor. The resulting data is presented in the table below. Use a 5 per cent level of significance to
| Performance | Training | |||
| Intensive | Good | Average | Total | |
| Above average | 100 | 150 | 40 | 290 |
| Average | 100 | 100 | 100 | 300 |
| Poor | 50 | 80 | 150 | 280 |
| Total | 250 | 330 | 290 | 870 |
The Q-Sort Technique
See Answer →Logical Flow Models
See Answer →Multiple Linear Regression
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Processing of data involves editing, coding, classifying and tabulating. Explain each of these steps by taking an appropriate research example.
See Answer →What should be the criteria for designing the questionnaire? How can questionnaires assist in survey research? How will you design a questionnaire to measure the attitude towards banks and insurance services? Discuss using the steps in the questionnaire design effectively.
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What is the basic nature of research designs? Distinguish between cross-sectional and longitudinal designs. In what situations would you recommend the usage of one over the other? Explain.
See Answer →Scope of geoinformatics in mapping marine protected areas
See Answer →Recent trends in Ocean Colour Remote Sensing
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