Spatio-Temporal Variability Estimations of Street Lighting Places Using Night-Time Lights

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatio-Temporal Variability Estimations of Street Lighting Places Using Night-Time Lights

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Spatio-Temporal Variability Estimations of Street Lighting Places Using Night-Time Lights

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 Smart City Symposium Prague - IEEE proceedings

ISBN

979-8-3315-2550-7

ISSN

2831-5618

e-ISSN

2691-3666

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

IEEE Press

Místo vydání

New York

Místo konání akce

Prague

Datum konání akce

29. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001729255200012