Nighttime lights can be an effective way to add safety to a dark area of the home or business. An electrical contractor in Atlanta, Georgia has developed an infrared motion detector system that is effective in deterring criminals from entering a home or business by detecting any movement made under the lights. The system is activated either by proximity or through an infrared motion detector. If there is no movement detected by the system, then the lights remain on. This will provide extra security for those families that wish to sleep in their homes during the night, but do not wish to risk waking the sleeping occupants. Many homeowners also elect to light their porches at night to keep away intruders.
Based upon information provided by the Georgia Department of Public Safety, this report was prepared to assist law enforcement in the enforcement of premises liability laws. In order to conduct this statistical analysis, law enforcement agencies in each of the state regions were required to collect and evaluate the data provided by the various lights. The Georgia Department of Public Safety compiled this database into a common format called AASE (Automated Aerial Surveillance Array). From this database, police agencies were able to determine the number of reported residential burglaries per month, per city block, per county, per year, and per million population over a five-year period. The location of the crime, the age of the offender, the victim and the type of crime were also key factors utilized in the calculation.
Each city in Georgia was analyzed using the same parameters and all data was then merged into a common dashboard. All cities had their night-time satellite images organized by county. The average number of reported crimes per 100 residents was then determined. As soon as the aggregated data from each city was combined, the average energy consumption was calculated for each city. Google scholar was used to locate cities with high energy consumption rates. Analysis of the aggregated data revealed that some cities were over-represented while others were under-represented.
The average energy consumption is the direct result of two separate components; a goodness-of-fit function and a random intercept. A goodness-of-fit function is a mathematical model that evaluates the correlation between a variable and its mean value. This ensures that the value of the variable is stable and consistent across the different time intervals. Random intercepts are a means of estimating a model’s predictive power by estimating the relationship between a variable and its mean value at different points in the interval. Visit BetterLumen for more information.
Next, correlations between gDP (log-transformed values) and crime rates were determined for each city using both logarithmic and cubic coefficiencies. The results of these correlations are shown in the figure below. plotted against the square of the overall efficiencies, larger squares represent stronger correlations and vice versa.
When the number of incidences per capita was graphed against the square of the estimated density of Viirs, there was a statistically significant positive correlation between the two variables. Therefore, when researchers considered the use of crime data records to identify areas where night-time lights reduce the overall crime rate, they found that they were indeed effective in reducing crime rates as well as protecting the safety of residents. These conclusions are important in understanding how such instruments can be used to effectively manage lighting at night.