b9deb0cc-588c-0081-e054-002128a47908
English
dataset
British Geological Survey
+44 115 936 3100
Environmental Science Centre, Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
pointOfContact
2024-03-22
UK GEMINI
2.3
http://data.bgs.ac.uk/id/dataHolding/13607701
OSGB 1936 / British National Grid (EPSG::27700)
Property Subsidence Assessment dataset
2021-01
creation
http://data.bgs.ac.uk/id/dataHolding/13607701
The property subsidence assessment dataset provides an understanding of the shrink-swell hazard at both the individual property and/or postcode level for England and Wales. It builds upon the BGS GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The data consist of GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate these phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP (BGS GeoSure Insurance Product) and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level. BGS GeoSure - a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain
Enquiries
British Geological Survey
0115 936 3143
0115 936 3276
Environmental Science Centre, Nicker Hill, Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
distributor
Enquiries
British Geological Survey
0115 936 3143
0115 936 3276
Environmental Science Centre, Nicker Hill, Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
originator
Enquiries
British Geological Survey
not available
distributor
Enquiries
British Geological Survey
not available
pointOfContact
asNeeded
https://resources.bgs.ac.uk/images/geonetworkThumbs/b9deb0cc-588c-0081-e054-002128a47908.png
Geology
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
Shrink-swell clays
Subsidence
UK Location (INSPIRE)
Foundations
Property damage
BGS Thesaurus of Geosciences
2022
revision
UK Location (INSPIRE)
dataCentre
NERC_DDC
otherRestrictions
license
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
otherRestrictions
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.
vector
English
geoscientificInformation
ISO 3166_2
2009
revision
EAW
British Geological Survey Gazetteer: Geographical hierarchy from Geosaurus
1979
creation
ENGLAND & WALES [id=149000]
-6.3529
2.0787
49.8880
55.7368
2011
2020
Other formats could be supplied on request
ESRI ArcGIS
Enquiries
British Geological Survey
0115 936 3143
0115 936 3276
Environmental Science Centre, Nicker Hill, Keyworth
NOTTINGHAM
NOTTINGHAMSHIRE
NG12 5GG
United Kingdom
enquiries@bgs.ac.uk
distributor
Enquiries
British Geological Survey
not available
distributor
https://www.bgs.ac.uk
British Geological Survey Homepage
information
dataset
dataset
INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology
2011
publication
See the referenced specification
false
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
publication
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
false
Input data: OS OpenMap Local building polygons GeoSure shrink-swell National Tree Map (Bluesky) Office for National Statistics (UK property build period) Office for National Statistics (UK property type) OS Code Point open Process: GeoSure and the other input datasets are mapped to the OS Open building polygons. Each building is then scored for each input factor. Input factors are then combined via a weighted algorithm to derive the PSA score for each building, this score is then classified into the PSA classes. Building polygon scores are aggregated to produce the postcode score. Processing was carried out using python scripts in ARCGIS