Data Analysis, Remote Sensing and Geo-informatics (GATE AR) — GATE Ar…
Types of data and sources of data for planning; Descriptive statistics; Tests of normality; Inferential statistics: linear and multiple regression, testing of hypothesis, testing of error, ANOVA etc.; Decision Problem Structuring: Analytical Hierarchical Process, Multi-Criteria Analysis etc.; Basic concepts in satellite remote sensing, satellites, sensors, and coverage; Principles of digital image processing; Satellite data products and their use; Aerial photography; Principles of photogrammetry; Application of remote sensing in urban and regional studies; G.l.S applications in planning; Georeferencing; Storage of spatial data; Processing tools; 2d(spatial), 3d(elevation) and 4d(temporal) data analysis and modeling; Database management systems; Structured query Language; Spatial queries; Application of Machine Learning in urban planning; Smart city loT applications; Python basics; Urban Analytics; Spatial Data Infrastructure;
- Exam: GATE Architecture and Planning (AR)
- Section: Part B2 Planning (25M) - Data Analysis, Remote Sensing and Geo-informatics