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GIS analysis dives deep into the relationships between geographical data, unlocking valuable insights and patterns invisible to the naked eye.  Here's a breakdown of some key types of GIS analysis  Spatial Analysis. This explores the inherent. relationships between geographical features and their locations.                Think of it as understanding the "where" and "how" of your data. Here are some common examples: Distance Analysis: Finding the nearest hospital to a patient's location or calculating the travel timebbetween different points. Overlay Analysis: Combining multiple data layers, like flood maps and population density, to identify vulnerable areas. Network Analysis : Optimizing delivery routes, planning evacuation paths, or analyzing traffic flow on a road network.      2. Raster Analysis. This focuses on analyzing data represented in grids, like satellite imagery, elevation data, or soil   ...

Normalized Difference Vegetation Index:- NDVI (Normalized Difference Vegetation Index) is a numerical indicator used in remote sensing and geographic information systems (GIS) to assess the health and density of vegetation cover in a given area. It is calculated from the reflectance of visible and near-infrared light captured by satellite or aerial imagery.  Here's a brief description of NDVI: Calculation: NDVI is calculated using the following formula:                             NDVI = float(NIR-RED) / float(NIR+RED)                                             where NIR represents near-infrared reflectance and Red represents red light reflectance. Values: NDVI values typically range from -1 to 1.  The interpretation of NDVI values is as follows: Values close to -1: The...

URBAN HOTSPOT AND NON URBAN HOTSPOT IS CALCULATED BY RANGING VALUES OF LAND SURFACE TEMPERATURE USING THE FOLLOWING EQUATION,                                                   UHS:- LST >  µ + 2 *  δ                                                   NON-UHS :- LST <  µ + 2 *  δ Where,  µ and    δ are the mean and standard deviation of LST in the study area.