The repository contains codes to extract relevant datasets and the modelling approach used to calculate Risk Scores for Uttar Pradesh.
Data that could enable more effective disaster-risk response and management is scattered or siloed across different agencies, at different scales and formats, making it difficult for decision-makers and relevant stakeholders to make data-informed decisions. The availability of good quality, machine-readable, and interoperable data is crucial for effective climate action and disaster response. However, in India, this data is fragmented and siloed, scattered across different agencies, making it difficult for decision-makers to make data-informed decisions in a timely manner.
We have developed a data model for combining climate, losses & damages, procurement and demographic data for effective flood mitigation strategies in Assam state. Our solution leverages advanced data science techniques to derive insights for decision makers and make it into a user-friendly, interactive open-access tool.
- Sources: Contains all data sources along with the scripts used to obtain data from these sources.
All content in this repository is licensed under
The repository includes scripts to extract and process various datasets essential for modeling flood risk in Uttar Pradesh. Below are some key datasets:
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- Contains procurement data related to flood activities in Uttar Pradesh from january 2020 to March 2020.
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- Contains monthly procurement data for Uttar Pradesh from january 2020 to March 2020.
If you want to contribute to the data sources, research or have any doubts with the data, please contact us at info@civicdatalab.in