以下为卖家选择提供的数据验证报告:
数据描述
UK Postcode-level Flood Risk Data (Rivers and Sea)
Identifying Risk Areas for Flood Protection and Planning
By IBM Watson AI XPRIZE - Environment [source]
About this dataset
> Welcome to the UK Postcode-level Flood Risk Dataset. This open source dataset contains detailed information on flood risk levels by postcode in the UK, allowing you to map out potential problems and plan accordingly. With this dataset, you can assess each postcode's growing risk of floods due to human land use change and climate change-related weather patterns, as well as historical occurrences specific to each area. > > We pull data from organizations including Risk of Flooding from Rivers & Sea, Open Postcode Geo, Royal Mail copyright & database right (2017), National Statistics data Crown copyright & database right (2017), and Environment Agency data licensed under the Open Government Licence v3.0. The associated columns in this dataset are detailed below: > > * Postcode - unique identifier for the postal code district where flood risk area is located > * FID - Unique ID for each location point > * PROB 4BAND - Flood risk level for a given postcode determined according to a four tier grade system (High, Medium, Low or Very Low) > * SUITABILITY - Suitability of location based on environment factors assessed according to OFRA criteria > * PUB_DATE - Date when data was published or last updated > * RISK FOR INSURANCE SOP - Standard Operating Procedure assigned according the Probability 4 band Risk rating > * Easting/Northing/Latitude/Longitude – Coordinates associated with a given postcode location > > This data can be used by local authorities and agencies conducting flood mapping projects; insurers assessing assets at specified locations using an agreed set of methodology; advisors assessing locations for development purposes; forecasters aiding contingency planning; homeowners/commercial businesses seeking insurance cover for claims arising from flooding events etc. Ultimately we hope citizens around the world use this dataset as an important tool to predict areas exposedto potential flooding risks so that preventive measures may be taken beforehand!
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How to use the dataset
> > This Kaggle dataset provides postcode-level flood risk data for the UK, including the flood risk level, coordinates, and other related information. This dataset is derived from Risk of Flooding from Rivers and Sea (provided by the British government) and Open Postcode Geo. It is licensed under the OGL 3.0 open government license. > > In this data set you will find columns for each postcode as well as unique identifiers for a particular region (FID), an overall four band flood risk level (PROB_4BAND), whether a specific location or building is suitable or not (SUITABILITY), when it was published so you can be sure you are getting reliable up to date information (PUB_DATE), Easting/Northing which roughly measure distance eastwards/northwards of locations in meters(EASTING / NORTHING), LATITUDE & LONGITUDE that point to a precise location on google map & finally RISK_FOR_INSURANCE SOP which clearly distinguishes between sites which should generate warnings with regard to various kinds of insurance policies. This allows companies applying digital transformation solutions like hazard mapping solutions to show what risks certain locations present in relation to possible flood damage using digital technologies such as GIS systems or location intelligence tools etc., allowing organizations apply data science models or techniques like predictive analytics that may be used in decision making processes such as those taken by municipalities when signing off disaster management plans etc.. > > You can use this dataset for research purposes, share your findings on websites through charts & graphs to develop an educational understanding about possible hazards associated with areas that people inhabit around UK particularly at times when storm systems are localized heavily over specific regions making it most likely due causing major catastrophic event across British Isles . People living there can always access their respective postcodes very easily via our Flood Map by Postcode page here Flood Map. > > When writing reports acknowledging source material properly , kindly take into account our acknowledgements including; Contains OS data © Crown copyright and database right 2017, Contains Royal Mail data © Royal Mail copyright and Database right 2017 , Contains National Statistics data © Crown copyright and database right 2017 & finally contains Environment Agency data licensed under Open Government Licence V3 . Also enclose relevant attribution statements provided at bottom of this tutorial text
Research Ideas
> - Creating an online tool to check the likelihood of flooding with a property’s postcode and generate a personalized report detailing the risk level and what approaches should be taken to mitigate it. > - Developing an app allowing properties owners to register their addresses, receive notifications in case of a recent flood risk alert and quickly connect with local emergency services who can assist in dealing with any potential risks. > - Creating an open-data platform for further research on historical, current, and predicted future trends of flooding at different postcodes throughout the UK that can help guide infrastructure investment decisions abroad other areas facing similar challenges
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > Data Source > >
License
> > > See the dataset description for more information.
Columns
File: open_flood_risk_by_postcode.csv
Column name | Description |
---|---|
TR23 0PR | Postcode (String) |
\N | Flood Risk Level (String) |
None | Suitability (String) |
\N.1 | Publication Date (String) |
\N.2 | Risk for Insurance SOP (String) |
\N.3 | Easting (Integer) |
87897 | Northing (Integer) |
15021 | Latitude (Float) |
49.953605 | Longitude (Float) |
Acknowledgements
> If you use this dataset in your research, please credit the original authors. > If you use this dataset in your research, please credit IBM Watson AI XPRIZE - Environment.
