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Research Methodology
A transparent pipeline for handling UAV strike data, spatially classifying incidents, and translating findings into time-series visualizations that respect privacy and operational security.
Combine open-source intelligence, community submissions, and verified situation reports on UAV strikes.
Deduplicate, standardize, and align incidents across datasets before spatial analysis.
Assign events to analytical grids to reveal exposure and architecture as response.
Generate map layers and time-series outputs to support transparent research review.
Privacy-conscious standards guide how we handle sensitive wartime information.
Each dataset release is validated to keep analyses reproducible and trustworthy.