Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape.
Artificial lighting is strongly associated with urbanisation and is increasing in its extent, brightness and spectral range. Changes in urban lighting have both positive and negative effects on city performance, yet little is known about how its character and magnitude vary across the urban landscap...
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2013-01-01
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doaj-77971caa4cc140be8c8d62aa32dbd1722020-11-25T01:15:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0185e6146010.1371/journal.pone.0061460Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape.James D HaleGemma DaviesAlison J FairbrassThomas J MatthewsChristopher D F RogersJon P SadlerArtificial lighting is strongly associated with urbanisation and is increasing in its extent, brightness and spectral range. Changes in urban lighting have both positive and negative effects on city performance, yet little is known about how its character and magnitude vary across the urban landscape. A major barrier to related research, planning and governance has been the lack of lighting data at the city extent, particularly at a fine spatial resolution. Our aims were therefore to capture such data using aerial night photography and to undertake a case study of urban lighting. We present the finest scale multi-spectral lighting dataset available for an entire city and explore how lighting metrics vary with built density and land-use. We found positive relationships between artificial lighting indicators and built density at coarse spatial scales, whilst at a local level lighting varied with land-use. Manufacturing and housing are the primary land-use zones responsible for the city's brightly lit areas, yet manufacturing sites are relatively rare within the city. Our data suggests that efforts to address light pollution should broaden their focus from residential street lighting to include security lighting within manufacturing areas.http://europepmc.org/articles/PMC3646000?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
James D Hale Gemma Davies Alison J Fairbrass Thomas J Matthews Christopher D F Rogers Jon P Sadler |
spellingShingle |
James D Hale Gemma Davies Alison J Fairbrass Thomas J Matthews Christopher D F Rogers Jon P Sadler Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. PLoS ONE |
author_facet |
James D Hale Gemma Davies Alison J Fairbrass Thomas J Matthews Christopher D F Rogers Jon P Sadler |
author_sort |
James D Hale |
title |
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
title_short |
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
title_full |
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
title_fullStr |
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
title_full_unstemmed |
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
title_sort |
mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
Artificial lighting is strongly associated with urbanisation and is increasing in its extent, brightness and spectral range. Changes in urban lighting have both positive and negative effects on city performance, yet little is known about how its character and magnitude vary across the urban landscape. A major barrier to related research, planning and governance has been the lack of lighting data at the city extent, particularly at a fine spatial resolution. Our aims were therefore to capture such data using aerial night photography and to undertake a case study of urban lighting. We present the finest scale multi-spectral lighting dataset available for an entire city and explore how lighting metrics vary with built density and land-use. We found positive relationships between artificial lighting indicators and built density at coarse spatial scales, whilst at a local level lighting varied with land-use. Manufacturing and housing are the primary land-use zones responsible for the city's brightly lit areas, yet manufacturing sites are relatively rare within the city. Our data suggests that efforts to address light pollution should broaden their focus from residential street lighting to include security lighting within manufacturing areas. |
url |
http://europepmc.org/articles/PMC3646000?pdf=render |
work_keys_str_mv |
AT jamesdhale mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape AT gemmadavies mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape AT alisonjfairbrass mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape AT thomasjmatthews mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape AT christopherdfrogers mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape AT jonpsadler mappinglightscapesspatialpatterningofartificiallightinginanurbanlandscape |
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