Spatio-Temporal Variability Estimations of Street Lighting Places Using Night-Time Lights
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00384363" target="_blank" >RIV/68407700:21260/25:00384363 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SCSP65598.2025.11037694" target="_blank" >http://dx.doi.org/10.1109/SCSP65598.2025.11037694</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP65598.2025.11037694" target="_blank" >10.1109/SCSP65598.2025.11037694</a>
Alternative languages
Result language
angličtina
Original language name
Spatio-Temporal Variability Estimations of Street Lighting Places Using Night-Time Lights
Original language description
Quantitative assessments of spatial and temporal distributions of street lighting across larger areas are difficult to make and express in such a form that would be appropriate as model inputs. This paper examines the density of street lighting places based on Earth Observing (EO) data in four urban areas of the Czech Republic. Previously processed GIS data of the night-time lights and planar point patterns of street lighting places were utilised. First, spatial measures of central tendency and dispersion were used to investigate the centrality and directionality of the point patterns. Second, density-based methods were conducted to assess the local and global densities of the patterns and measure the tendency to depart from Complete Spatial Randomness (CSR). Finally, the dependence of the point densities on the night-time light radiance was investigated by quadrat counting. The results of the spatial measures confirm strong directional patterns in smaller areas with sparse street lighting networks. Conditional Monte Carlo tests confirm that the point patterns deviate from CRS. Lastly, the density estimations based on night-time light radiance revealed that the higher density of points is accompanied by higher values of the radiance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 Smart City Symposium Prague - IEEE proceedings
ISBN
979-8-3315-2550-7
ISSN
2831-5618
e-ISSN
2691-3666
Number of pages
6
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Prague
Event date
May 29, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001729255200012