WINS Urban Green Infrastructure: Demand for Urban Greenspace - Noise Pollution
This dataset was created for the Welsh Information for Nature Bases Solution or WINS project (previously known as SCCAN) to identify opportunities to carry out land management interventions to increase ecosystem service delivery in a number of key policy areas. What the map shows: The map shows demand areas for greenspace based on locations affected by noise pollution, with noise pollution in decibel sound level contours. Along a colour gradient from dark blue to dark brown the demand increases, based on a combination of three factors: the intensity of noise pollution problem, population density and deprivation.
- Dull adnabod
- Rhychwant
- Dosbarthiad
- Ansawdd
- Allweddeiriau
- System Cyfeirio Gofodol
- Cynnwys
- Cyfyngiadau
- Cynnal a chadw
- Metadata
Dull adnabod
- Dynodydd
- NRW_DS121710
- Teitl Amgen
-
- SCCAN Urban Green Infrastructure: Demand for Urban Greenspace - Noise Pollution
- Seilwaith Gwyrdd Trefol: Galw am Fannau Gwyrdd Trefol -Llygredd Sŵn
- Laith Metadata
- English
- Datganiad
-
How the map has been created: The map has been created using monitoring results reporting on noise in 5-decibel “A-weighted” contour bands for noise from roads and noise from industry. For each of these datasets, areas falling within the >=75 dB class are considered to have the highest demand for greenspace to shelter from noise pollution, whilst areas falling within the 70-74.9 dB bracket are considered to have some demand. The two datasets were then combined, with any area falling into the “high” bracket for at least one of the two noise datasets being considered to overall have a high demand, and each area not having any “high” demand and “some” demand from at least one of the input dataset considered to overall have some demand. The remaining areas have no demand for noise management. This demand space has been combined with data on population density and WIMD to create an overall demand score for noise pollution measures. For the WIMD, the two most deprived classes within (Rank 1 to 382) were considered to have the highest priority, with ranks 383 to 573 having some priority. Any less deprived areas are not considered to be a priority based on deprivation. In a similar manner, population density taken from the latest census data has been split into 5 classes for Wales using Jenks natural breaks. The two densest populated classes are forming the highest priority, the medium class has some priority, and less densely populated areas are not considered a priority based on population density. This dataset was produced for NRW under contract by Environment Systems Ltd.
- Gwybodaeth ychwanegol
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Data gaps and limitations: Noise pollution caveats listed on DataMapWales apply to the input data, and hence also to the outputs based on it
- Dyddiad cyfeirnod y set ddata (Cyhoeddiad)
- 2018-04-01
Rhychwant
Rhychwant
- Hyd
- Wales (WLS)
))
Dosbarthiad
- Fformat - Math a Disgrifiad
-
-
Geographic Information System
()
- Math
-
ESRI Feature Class
-
Geographic Information System
()
Ansawdd
Ansawdd Data
- Cwmpas Ansawdd
- Dataset
- Datganiad
-
How the map has been created: The map has been created using monitoring results reporting on noise in 5-decibel “A-weighted” contour bands for noise from roads and noise from industry. For each of these datasets, areas falling within the >=75 dB class are considered to have the highest demand for greenspace to shelter from noise pollution, whilst areas falling within the 70-74.9 dB bracket are considered to have some demand. The two datasets were then combined, with any area falling into the “high” bracket for at least one of the two noise datasets being considered to overall have a high demand, and each area not having any “high” demand and “some” demand from at least one of the input dataset considered to overall have some demand. The remaining areas have no demand for noise management. This demand space has been combined with data on population density and WIMD to create an overall demand score for noise pollution measures. For the WIMD, the two most deprived classes within (Rank 1 to 382) were considered to have the highest priority, with ranks 383 to 573 having some priority. Any less deprived areas are not considered to be a priority based on deprivation. In a similar manner, population density taken from the latest census data has been split into 5 classes for Wales using Jenks natural breaks. The two densest populated classes are forming the highest priority, the medium class has some priority, and less densely populated areas are not considered a priority based on population density. This dataset was produced for NRW under contract by Environment Systems Ltd.
Allweddeiriau
Allweddair
- Math
- Theme
Dyfyniad
- Dyddiad (Cyhoeddiad)
- 2008-06-01
Allweddair
Allweddair
-
NRW SMNR Vocabulary
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- Ecosystem Services (SMNR)
- Sustainable Management of Natural Resources (SMNR)
- Math
- Theme
Dyfyniad
- Dyddiad (Adolygu)
- 2023-12-27
System Cyfeirio Gofodol
Cynnwys
Gwybodaeth Cynnwys
Proffil CNC
Elfennau CNC
Cyfyngiadau
Cyfyngiadau
Cyfyngiadau ar Fynediad a Defnydd Cyhoeddus
- Math o Gyfyngiad
- Other restrictions
Cyfarwyddeb Cyfyngiadau Mynediad
- Cyfyngiadau
- no limitations
Testun cyfyngiadau mynediad
- Cyfyngiadau eraill
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There are no access restrictions on this data. NRW may release, publish or disseminate it freely.
Defnyddiwch gyfyngiadau
- Cyfyngiadau Defnyddio
- Other restrictions
- Cyfyngiadau eraill
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© CNC/NRW. © Office of National Statistics (ONS). © Welsh Government. Data may be re-used under the terms of the Open Government Licence providing it is done so, acknowledging both the source and copyright of the owners. It is the recipient's responsibility to ensure the data is fit for the intended purpose.
Datganiad Priodoli
- Cyfyngiadau eraill
- Open Government Licence (OGL)
Math o Drwydded
- Cyfyngiadau eraill
- Open Government Licence (OGL)
Metadata
Metadata
- Dynodydd Ffeil
- 4f4c4942-4343-5764-6473-313231373130 XML
- Laith Metadata
- English
- Dynodydd Rhiant
-
WINS Area Statement Opportunity Maps
NRW_DS121668
- Math o adnodd
- Dataset
- Dyddiad Metadata
- 2024-05-31T09:18:06.678Z
- Enw Safonol Metadata
- NRW
- Fersiwn Metadata
-
1.0