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Geospatial Climate Infrastructure Analysis
Performed geospatial analysis using ArcGIS and QGIS on 30 years of rainfall data (1990–2018) across Mysore District. Applied IDW interpolation and statistical indices (SPI, CV) to assess climate variability and drought, producing spatial distribution maps to inform urban infrastructure planning.
Approach
- Compiled long-term station rainfall records (1990–2018) for Mysore District.
- Performed IDW interpolation to transform point measurements into continuous surfaces.
- Calculated Standardized Precipitation Index (SPI) and coefficient of variation (CV) to quantify variability.
- Executed overlay analysis combining spatial and non-spatial datasets to highlight risk zones.
- Produced thematic maps to guide urban infrastructure planning and drought monitoring.
Highlights
- Identified variability hotspots and drought-prone regions using SPI and CV thresholds.
- Standardized data pipeline for integrating field observations with historical datasets.
- Delivered planning-ready map outputs to inform infrastructure siting and resource allocation.