WO2023022267A1

WO2023022267A1 - Nighttime luminosity data correcting method and utilizing method

Info

Publication number: WO2023022267A1
Application number: PCT/KR2021/011101
Authority: WO
Inventors: 석민; 한경도; 권동재
Original assignee: 주식회사 카탈로닉스
Priority date: 2021-08-20
Filing date: 2021-08-20
Publication date: 2023-02-23

Abstract

The purpose of the present invention is to provide a nighttime luminosity data correcting method and utilizing method, the methods capable of: enhancing the accuracy and reliability of data by correcting a nighttime luminosity measurement value in accordance with moon illumination, visibility range, cloud cover and cloud reflectivity when measuring the nighttime luminosity value; and predicting the development and decline of a business area of a city, an increase and decrease in crime rate, and a short-term economic indicator of a period of shorter than one year, by receiving time-specific and space-specific nighttime city luminosity data and time-specific and space-specific city information data comprising at least one from among credit card sales volume, crime rate and economic indicator, time-specifically and space-specifically matching the nighttime city luminosity data and the city information data, and thus obtaining city change prediction information.

Description

How to correct nighttime illumination data and how to use it

The present invention relates to a method for correcting and utilizing nighttime illuminance data, and more particularly, to improve the accuracy and reliability of data by correcting a nighttime illuminance measurement value in consideration of meteorological data, and to utilize nighttime downtown illuminance data and city information data. The present invention relates to a method for correcting nighttime illuminance data and a method for using it to acquire urban change prediction information.

In general, an illuminance meter is used to measure outdoor illuminance. However, when measuring illuminance using an illuminometer, measurement errors are caused by meteorological phenomena such as the amount of light according to the phase of the moon, the attenuation of light by aerosol particles such as fog or fine dust, and the increase in brightness by artificial light reflected by clouds. There was a problem that occurred.

On the other hand, the city's night lighting environment, which originates from various artificial lights such as street lights, indoor lighting, billboards, and signboards, is not only an ecological and environmental indicator that affects the physiology of humans, animals, and vegetation, but also crime rate, floating population, population density, and economy. It is also closely related to various social factors such as level.

Recently, advanced countries abroad are actively promoting research and projects to manage the urban lighting environment from the perspective of CPTED (Crime Prevention Through Environmental Design), and in Korea, urban lighting based on the concept of CPTED, centering on Seoul Metropolitan City Environmental management projects are being promoted.

Accordingly, it is necessary to develop technology capable of predicting city information such as commercial districts, crime rates, sales, floating population, and economic indicators from nighttime illumination data of the city.

Accordingly, the present invention is to solve the problems of the prior art as described above, and improves the accuracy and reliability of data by correcting the nighttime illuminance measurement value in consideration of the brightness of the moon, visibility distance, cloudiness, and cloud reflectivity when measuring the nighttime illuminance value. By receiving city information data by time and space including at least one of card sales, crime rate, and economic indicators, and matching nighttime city illumination data and city information data by time and space, The purpose of this study is to provide a method for correcting and utilizing nighttime illuminance data that can predict the development and decline of a city's commercial district, increase and decrease in crime rate, and short-term economic indicators of less than one year by obtaining urban change prediction information.

The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the description below.

In order to solve the above problems, a method for correcting nighttime illuminance data according to the present invention includes an illuminance measurement step of measuring a nighttime illuminance value using an illuminance measuring device, a meteorological data reception step of receiving meteorological data, and a meteorological data and an illuminance correction step of correcting the measured nighttime illuminance value using

In addition, the meteorological data may be at least one of brightness of the moon, visible distance, cloudiness, and cloud reflectivity.

In addition, when the meteorological data is the brightness of the moon, the illuminance correcting step may subtract the brightness value of the moon from the measured nighttime illuminance value to obtain a corrected nighttime illuminance value.

In addition, when the meteorological data corresponds to the visible distance, the corrected nighttime illuminance value may be obtained by adding an attenuation rate of visible light according to the visible distance to the measured nighttime illuminance value.

In addition, when the meteorological data is cloud cover and cloud reflectivity, the illuminance correction step may obtain a corrected night illuminance value according to the following equation.

[mathematical expression]

In the above equation, E _cal is the corrected nighttime illuminance value, E _mea is the measured nighttime illuminance value, E _ref is the city average nighttime illuminance value or the nighttime illuminance value measured at the time when cloudiness is 0, C _cloud is cloudiness, ρ _cloud is the reflectivity of the cloud.

In order to solve the above problems, a method for utilizing nighttime illumination data according to the present invention includes a city information data receiving step of receiving city information data at night by time and space, and city information data by receiving city information data by time and space. A receiving step, a data matching step of matching the city information data with the night city illumination data by time and space, and a city change prediction information acquisition step of obtaining city change prediction information from the matched data.

Also, the city information data may be at least one of card sales data, crime rate data, and economic indicators.

In addition, when the city information data is card sales data, the step of obtaining city change prediction information may predict the degree of development of a specific commercial district.

The method may further include a weather data receiving step of receiving weather data by time and by space, and in the obtaining city change prediction information, the degree of development of a specific commercial district according to seasons or weather changes may be predicted.

In addition, when the city information data is crime rate data, the obtaining of city change prediction information may predict a crime rate increase or decrease according to illumination intensity or a crime rate according to illumination intensity for each region.

In addition, when the city information data is an economic indicator, the obtaining of the city change prediction information may predict a short-term economic indicator of less than one year.

According to the night illuminance data correction method and utilization method of the present invention, one or more of the following effects are provided.

First, the measured illuminance value by correcting the illuminance measurement error due to the change in brightness according to the phase of the moon, the attenuation of light by aerosol particles, and the increase in brightness due to the reflection of clouds in consideration of the brightness of chickens, visibility distance, cloudiness, and cloud reflectivity. It has the advantage of maximizing the accuracy and reliability of

Second, there is an advantage in that the analysis accuracy and reliability can be improved by using the corrected city illumination data at night to analyze the social, economic, and cultural indicators of the city.

Third, there is an advantage in predicting the degree of development of a specific commercial district using nighttime downtown illumination data.

Fourth, there is an advantage in predicting the degree of development of a specific commercial district according to the season or weather change using nighttime city illumination data.

Fifth, there is an advantage in predicting the increase or decrease of the crime rate according to the intensity of illumination or the crime rate according to the intensity of illumination in each region by using the data of the intensity of illumination in the downtown at night.

Sixth, there is an advantage in that each local government can utilize the night city illumination data in formulating a policy to improve the urban lighting environment based on the concept.

Seventh, there is an advantage in predicting short-term economic indicators for less than one year using nighttime urban illumination data.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a flowchart of a method for correcting illuminance data at night according to an embodiment of the present invention.

2 is a diagram showing relative brightness according to the phase of the moon.

3 is a diagram showing nighttime illumination intensity measurement values according to the presence or absence of artificial light and the phase of the moon.

4 is a diagram illustrating spatial data based on an illuminance value at night according to an embodiment of the present invention.

5 is a flowchart of a method of using illuminance data at night according to an embodiment of the present invention.

6 and 7 are diagrams for explaining a step of obtaining city change prediction information according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

The size or shape of components shown in the drawings accompanying this specification may be exaggerated for clarity and convenience of description. It should be noted that in each drawing, the same configuration may be indicated by the same reference numerals. In addition, detailed descriptions of functions and configurations of known technologies that may unnecessarily obscure the subject matter of the present invention may be omitted.

Terms used in this specification are used to describe specific embodiments and are not intended to limit the present invention. As used herein, the singular form may include the plural form unless the context clearly indicates otherwise. In addition, when a certain part "includes" a certain component throughout this specification, it means that it may further include other components unless otherwise stated.

It is understood that when a component is referred to as “connected” or “connected” to another component, it may be directly connected or connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is referred to as “directly connected” or “directly connected” to another component, it should be understood that no other component exists in the middle. Other expressions used to describe the relationship between components should be similarly interpreted.

Terms such as top, bottom, top, bottom, or top, bottom used in this specification are used to distinguish the relative positions of components. For example, when naming the upper part of the figure as the upper part and the lower part of the figure as the lower part for convenience, in practice, the upper part may be named as the lower part and the lower part may be named as the upper part without departing from the scope of the present invention. .

Terms including ordinal numbers such as ~first~, ~second~, etc. described in this specification may be used to describe various components, but the components are not limited by the above terms. The above terms are only used to distinguish each component from another component, regardless of the manufacturing order, and the names may not match in the detailed description of the invention and in the claims.

All terms including technical or scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs unless otherwise defined. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in this specification, it should not be interpreted in an ideal or excessively formal meaning. don't

A method for correcting and using illuminance data at night according to embodiments of the present invention to be described below is performed by a system for correcting and utilizing illuminance data at night, and components of the system for correcting and utilizing night illuminance data include one or more signal processing or applications. It may be implemented in hardware, software, or a combination of both hardware and software including an integrated circuit specialized for.

Hereinafter, the present invention will be described with reference to the drawings in order to explain a method of correcting and using illuminance data at night according to embodiments of the present invention.

Referring to FIG. 1 , a method for correcting illuminance data at night according to an embodiment of the present invention includes an illuminance measuring step ( S100 ), a weather data receiving step ( S200 ), and an illuminance correcting step ( S300 ).

First, in the illuminance measuring step (S100), a nighttime illuminance value may be measured using an illuminance measuring device. Here, the illuminance measuring device includes an illuminance meter, a level, a GPS module, and a data logger on a plate with a handle, so that a measurer can measure the illuminance while moving an illuminance measurement area using the illuminance measuring device. When measuring nighttime illuminance, it is most desirable to measure it after astronomical twilight, when the sun's altitude is between 12 and 18 degrees below the horizon and the sunlight completely disappears.

The illuminance measuring device may measure the illuminance by inputting a number obtained by dividing the total road length of the area to be measured by a value obtained by multiplying the measurement speed, the measurement time (h), and the number of days of measurement by rounding the number. For example, if the total road length in area A is 100 km and the illuminance is measured on weekdays in the first week of August from 8:00 PM to 10:00 PM, the calculated value is 100 km/(5 [km/h]x2[h]x5 [days]) Since is 2, the nighttime illuminance can be measured using two illuminance measuring devices.

In the step of receiving weather data ( S200 ), weather data including at least one of brightness of the moon, visible distance, cloudiness, and cloud reflectivity may be received from a weather service provider such as the Korea Meteorological Administration.

In the illuminance correction step (S300), the corrected night illuminance value may be obtained by correcting the nighttime illuminance value measured in the illuminance measurement step (S100) using the received meteorological data.

First, in the illuminance correction step (S300), when the meteorological data is the brightness of the moon, a corrected nighttime illuminance value may be obtained by subtracting the brightness value of the moon from the measured nighttime illuminance value.

2 is a diagram showing relative brightness according to the phase of the moon, and FIG. 3 is a diagram showing measured values of nighttime illumination intensity according to the presence or absence of artificial light and the phase of the moon.

Figure 2 shows that the age of the moon changes as the phase of the moon changes, based on about 29 days until the end of the year when the moon comes on the line connecting the earth and the sun as 0 day, and the moon accordingly represents the change in relative brightness of When the moon is 15 days old, it is a full moon and can represent 100% relative brightness.

Here, referring to FIG. 3, FIG. 3 shows nighttime illuminance measurement values according to the presence or absence of artificial light and the phase of the moon. FIG. 3a shows when there is almost no artificial light and FIG. It shows the roughness measurement value.

Referring to FIG. 3A , it can be seen that the nighttime illuminance measurement value varies greatly depending on the phase of the moon when there is little artificial light. Referring to FIG. It can be seen that a change in brightness from 0 to 100 percent has little effect on the nighttime illuminance measurement value.

In other words, since the brightness of the moon changes according to the phase of the moon in an area where artificial light rarely exists, the brightness value of the moon can have a great influence on the measured value of illuminance at night, and this can cause an error in the measured value of illuminance at night. .

Therefore, in the illuminance correction step (S300), the brightness value of the moon is subtracted from the measured nighttime illuminance value to perform correction, and the nighttime illuminance value in which the measurement error due to the amount of moon light is corrected can be obtained.

At this time, in the illuminance correction step (S300), a night illuminance value obtained by correcting a measurement error due to the amount of light of the moon may be obtained according to Equation 1 below with respect to the measured night illuminance value.

[Equation 1]

Here, E _cal is the corrected nighttime illuminance value, E _mea is the nighttime illuminance value measured by the illuminance measuring device, E _moon is the illuminance value of the full moon, and P _moon is the relative brightness value according to the phase of the moon.

That is, the lunar illuminance value at the time of measurement can be obtained by multiplying the illuminance value of the full moon by the relative brightness of the moon phase at the time of measurement, and by subtracting the illuminance value of the moon at the time of measurement from the measured illuminance value at night, the amount of lunar light can be calculated. It is possible to obtain the night illuminance value in which the measurement error due to

Next, in the illuminance correction step (S300), when the meteorological data is visible distance, a corrected nighttime illuminance value may be obtained by adding an amount of visible light attenuation according to the visible distance to the measured nighttime illuminance value.

Light is absorbed or scattered due to aerosol particles such as fog or fine dust, and thus light attenuation may occur. Accordingly, the amount of light reaching the illuminance measuring device may vary even with the same light source according to the concentration of aerosol in the air.

At this time, when the meteorological visibility distance is about 100m due to very dense aerosol, the visible light attenuation rate reaches about 0.06 per meter. An illuminance reduction effect of from 30% to 30% occurs.

Accordingly, in the illuminance correction step (S300), a visible light attenuation rate according to the visible distance is added to the measured nighttime illuminance value to obtain a nighttime illuminance value in which measurement error due to aerosol is corrected.

At this time, in the illuminance correction step (S300), the nighttime illuminance value obtained by correcting the measurement error due to the aerosol may be obtained according to Equation 2 below with respect to the measured nighttime illuminance value.

[Equation 2]

Here, E _cal is the corrected nighttime illuminance value, E _mea is the nighttime illuminance value measured by the illuminance measuring device, D is the average distance from artificial light sources, and μ is the visible light attenuation rate according to the visible distance.

In addition, when measuring illuminance at night, artificial light in the city is reflected by clouds and the measured illuminance value may be higher than the original illuminance value. Therefore, it is necessary to subtract the intensity value of the light reflected by the cloud from the measured illuminance value.

Accordingly, in the illuminance correction step (S300), when the meteorological data is cloud cover and cloud reflectivity, a nighttime illuminance value obtained by correcting a measurement error due to cloud reflection may be obtained according to Equation 3 below.

[Equation 3]

Here, E _cal is the corrected nighttime illuminance value, E _mea is the nighttime illuminance value measured by the illuminance measuring device, _Eref is the city average nighttime illuminance value or the nighttime illuminance value measured when the cloudiness is 0, and C _cloud is the cloudiness , ρ _cloud is the reflectivity of the cloud.

In addition, in the illuminance correction step (S300), when the meteorological data is the brightness of the moon, visibility, cloudiness, and cloud reflectivity, measurement errors due to the moon's light amount, aerosol, and cloud reflection are all corrected according to Equation 4 below It is possible to obtain the night illuminance value.

[Equation 4]

Here, E _cal is the corrected nighttime illuminance value, E _mea is the nighttime illuminance value measured by the illuminance measuring device, _Eref is the city average nighttime illuminance value or the nighttime illuminance value measured when the cloudiness is 0, and C _cloud is the cloudiness , ρ _cloud is the reflectivity of the cloud, E _moon is the illuminance value of the full moon, P _moon is the relative brightness value according to the phase of the moon, D is the average distance from artificial light sources, μ is the visible light attenuation rate according to the visible distance, H _fog is the height of the fog.

FIG. 4 shows that corrected nighttime illuminance values are expressed as point data and interpolated in a two-dimensional space to generate city illuminance space data. In this way, the city's social, economic, and cultural indicators can be analyzed from the urban night illumination spatial data.

That is, according to the nighttime illuminance data correction method according to an embodiment of the present invention, the nighttime illuminance is measured and corrected in consideration of meteorological data including the brightness of the moon, visibility distance, cloudiness and cloud reflectivity. It is possible to provide a method for maximizing reliability and improving accuracy and reliability in analyzing social, economic, and cultural indicators of a city from corrected city illumination data at night.

Referring to FIG. 5 , the method of using night illuminance data according to an embodiment of the present invention includes receiving city illuminance data (S1000), receiving city information data (S2000), matching data (S3000), and obtaining city change prediction information. Step S4000 may be included.

First, in the step of receiving city illumination intensity data (S1000), night time city illumination intensity data for each time and space may be received. In this case, the night city illuminance data may be a corrected nighttime illuminance value obtained according to the method for correcting nighttime illuminance data according to an embodiment of the present invention. By using nighttime city illumination data with measurement errors corrected in consideration of meteorological data, prediction accuracy and reliability can be improved when obtaining urban change prediction information, which will be described later.

As described above with reference to FIG. 4 , as shown in FIG. 4 , spatial data of Nanatan nighttime city illumination data may be received by time and nighttime city illumination data by space may be collected.

In the step of receiving city information data (S2000), city information data for each time and space may be received. Here, the city information data may be at least one of card sales data, crime rate data, and economic indicators.

In this case, the city information data may include business information including business addresses and types of businesses of each store along with card sales data.

More specifically, the city information data can receive yearly, monthly, weekly, and daily card sales data along with business information from businesses in each district distributed in the city, and crime rates in each area from public institutions. Data can be received hourly, and economic indicators for each region can be received.

In the data matching step (S3000), the night city illumination data and city information data may be matched by time and space.

In the step of obtaining city change prediction information (S4000), city change prediction information may be obtained from the matched data.

Referring to FIG. 6 , in the step of obtaining city change prediction information (S4000), when the city information data is card sales data, the degree of development of a specific commercial district can be predicted as the city change prediction information.

For example, as shown in FIG. 6, in the case of region A, it can be seen that the development and sales of commercial districts increased because the nighttime downtown illumination data value in 2020 increased overall compared to 2005, and in the case of region B, compared to 2005 Since the night city illumination data value in 2020 decreased overall, it can be seen that the decline of the commercial district and the decrease in sales.

In this way, in the city change prediction information acquisition step (S4000), the degree of development of a specific commercial district can be predicted from data obtained by matching nighttime downtown illumination data and city information data by time and by space. More specifically, as the data value of night city illumination increases, the sales of the beer store may decrease. Based on this, it can be predicted that sales of beer stores in a specific area will decrease if the data value of downtown illumination at night increases in a specific area, or sales of beer stores in that area will increase if the data value of urban illumination at night decreases in a specific area. can be predicted to do.

In addition, the method of using illuminance data at night according to an embodiment of the present invention may further include a step of receiving weather data (S2500).

In the step of receiving weather data (S2500), weather data for each time and space may be received. Accordingly, in the data matching step (S3000), the meteorological data, nighttime city illumination data, and city information data may be matched by time and space.

Therefore, in the city change prediction information acquisition step (S4000), the degree of development of a specific commercial district according to seasons or weather changes can be predicted from data obtained by matching weather data, nighttime city illumination data, and city information data by time and space.

Next, referring to FIG. 7 , in the step of obtaining city change prediction information (S4000), if the city information data is crime rate data, an increase or decrease in crime rate according to illumination intensity or a crime rate according to illumination intensity for each region can be predicted as city change prediction information.

For example, as shown in FIG. 7, it can be seen that the crime rate in C and D regions increased because the nighttime downtown illuminance data values in 2020 increased as a whole compared to 2005 in C and D regions, and in the case of E region It can be seen that the crime rate in area E decreased because the night city illumination data value decreased overall.

In this way, in the step of obtaining urban change prediction information (S4000), an increase or decrease in crime rate according to illumination intensity or a crime rate according to illumination intensity by region can be predicted from data obtained by matching nighttime downtown illumination data and city information data by time and space. More specifically, it can be predicted that the crime rate will decrease as the value of the urban illumination at night increases and the crime rate will increase as the value of the urban illumination at night decreases.

In addition, from the matching data, a reference illuminance value having little change in the crime rate may be derived when the nighttime downtown illuminance data value is greater than or equal to a predetermined value. Accordingly, when each local government formulates a policy for improving the urban lighting environment based on CPTED, the reference illuminance value can be used to formulate a policy for managing urban lighting.

Next, in the step of obtaining city change prediction information ( S4000 ), when the city information data is an economic indicator, a short-term economic indicator of less than one year may be predicted as the city change prediction information.

Previously, there have been several studies to estimate the economic growth rate through changes in the brightness of artificial lighting at night in each country. Due to the difference, there was a problem in which meaningful comparison and analysis were impossible.

However, in the method for utilizing nighttime illuminance data according to an embodiment of the present invention, since it is possible to receive nighttime downtown illuminance data measured every month to several months, it is possible to receive city information data by time and by space. / It is possible to predict short-term economic indicators such as annual GRDP growth rate, and to make advance observations and forecasts of the entire country's economic growth rate.

The method according to the embodiment described above may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD ROMs and DVDs, and magnetic optical media such as floptical disks. Included are hardware devices specially configured to store and execute program instructions, such as magneto optical media and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Although the preferred embodiments of the present invention have been illustrated and described with reference to the drawings as described above, the present invention is not limited to the specific embodiments described above, and the subject matter without departing from the subject matter of the present invention claimed in the claims. Of course, various modifications and implementations are possible by those skilled in the art to which the invention belongs, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

INDUSTRIAL APPLICABILITY The present invention is industrially applicable to the technical field of correcting nighttime illumination and predicting urban changes using nighttime illumination.

Claims

An illuminance measurement step of measuring an illuminance value at night using an illuminance measuring device;

a weather data receiving step of receiving weather data; and

and an illuminance correction step of correcting the measured nighttime illuminance value using the meteorological data.
According to claim 1,

The nighttime illuminance data correction method, characterized in that the meteorological data is at least one of moon brightness, visibility, cloudiness and cloud reflectivity.
According to claim 2,

If the meteorological data is the brightness of the moon,

Wherein the illuminance correction step subtracts the brightness value of the moon from the measured night illuminance value to obtain a corrected night illuminance value.
According to claim 2,

If the meteorological data is visible,

In the illuminance correction step, a corrected night illuminance value is obtained by adding an attenuation rate of visible light according to a viewing distance to the measured night illuminance value.
According to claim 2,

If the meteorological data is cloudiness and cloud reflectivity,

Wherein the illuminance correction step obtains a corrected night illuminance value according to the following equation.

[mathematical expression]

In the above equation, E cal is the corrected nighttime illuminance value, E mea is the measured nighttime illuminance value, E ref is the city average nighttime illuminance value or the nighttime illuminance value measured at the time when cloudiness is 0, C cloud is cloudiness, ρ cloud is the reflectivity of the cloud.
a city illumination data receiving step of receiving city illumination intensity data by time and by space at night;

a city information data receiving step of receiving city information data by time and by space;

a data matching step of matching the night city illumination data and the city information data by time and by space; and

A method of utilizing night illuminance data comprising: acquiring city change prediction information from the matched data.
According to claim 6,

The city information data is at least one of card sales data, crime rate data, and economic indicators.
According to claim 7,

If the city information data is card sales data,

The method of using night illumination data, characterized in that the step of obtaining urban change prediction information predicts the degree of development of a specific commercial district.
According to claim 8,

The method of utilizing night illumination data, further comprising a meteorological data receiving step of receiving meteorological data by time and by space, wherein the obtaining of city change prediction information predicts the degree of development of a specific commercial district according to season or weather change.
According to claim 7,

If the city information data is crime rate data,

Wherein the step of obtaining urban change prediction information predicts an increase or decrease in crime rate according to the intensity of illumination or a crime rate according to the intensity of illumination for each region.
According to claim 7,

If the city information data is an economic indicator,

The method of using night illumination data, characterized in that the step of obtaining urban change prediction information predicts short-term economic indicators of less than one year.