A Research on EIA(Environment Impact Assessment) Data Visualization Technology using
Shin, Sanghee
This research is about the development of an EIA decision support system that effectively integrates and visualizes the results of the EIA review process and related information such as BIM/GIS, modeling data, and sensor data. The final goal is to improve the EIA process so that not only experts but also non-experts can participate in the EIA process and easily understand the EIA statemnets using innovative technologies such as 3D GIS and Easy Finger real-time simulation. The final system will be developed and opend as an open source. This research is 5 years long project funded by Minstry of Environment, South Korea. This talk will focus on the 1st year's research outcome and future plans.
 It's Sanji. I think a lot of people, a few of you may remember him. He chaired the Phosphor G250 in Seoul and he wrote in his normal life, he's CEO and president of Gaia3D and a really cool guy, which I really can confirm. It's really a pity that he can't join, but in Korea it's 4.30 in the morning and I said, it's okay, I'm going to present your video and that makes me a little bit sad after we had so many questions in the talk before, so we won't be able to answer any questions. Maybe he wakes up and comes in, but I just start the video and enjoy the talk from Sanji. Good morning and good afternoon everyone. My name is Sanji Shin and I am from South Korea. At first I would like to ask you understanding for my recorded presentations. Here in Korea is now 4.30 a.m. early in the morning, so I have to record this presentation earlier for this talk. Today I'll be talking about the EIA, Environmental Impact Assessment Data Visualization Technology using Phosphor G. Okay, let's get started. However, before start my presentation, I would like to turn off this video. I'm not sure how many of you are already familiar with EIA, Environmental Impact Assessment Process. There are several EIA definitions. Here I got two definitions from Korea and the United Kingdoms. According to Korea Environment Corporation, that is a state or the public company in Korea. According to them, EIA is designed to review, predict, and assess the potential environmental impact of a project, people whose plan is finalized in order to come up with measures to prevent or minimize any possible adverse impact that the project could have on the environment. Also, digital EIA project partners from UK gave similar definitions like below. The main core concept is that we need to examine the adverse impact to the environment before development project, that is EIA. EIA is adopted in many countries all around the world and regulated by each country's regulations. Usually, EIA has several key stages like below, screening, scoping and the baselining, assessment and predictions, submissions and consultations, and finally decision and monitoring. Actually, each stage has many steps to be done. There are lots of things to be done. Also, if you have much interest in EIA key stages, you can see my slide later. This talk is about the research project that how to innovate EIA process with cutting-edge digital technology. I'm going to talk a little bit about the problem of current EIA process. One of the main problems that current EIA statements are quite huge in terms of pages and contents with many unnecessary data and information. At the left side, you can see the real case of EIA statements from Korea. It has more than 1,800 pages excluding appendixes. Right side, you can see the UK cases that they usually produce more than 4,000 pages long statements. It's ridiculous. Producing this kind of huge statement is quite a buzzer. And the current EIA statements are quite paper document-oriented, so it's quite static without any interactivity. It means all the assessments and prediction data are stopped and embedded only in documents. At the left side of this slide, you can see the noise predictions map with 2D and vertical profiles. However, it doesn't give much information to the people who live in high buildings because 2D map shows the noise predictions on the ground level and vertical profiles shows the noise propagation at a certain point. If your house does not fall into that point, you can't realize how noisy your house may be. Right side, P&Tank distribution map also shows the predicted data on the ground level as well. You know, air mass is three-dimensional. So with this kind of current EIA problems, we may ask these kinds of questions to ourselves. What if we can see the assessment and predictions in an interactive way? What if we can change the development plan by and want to see the result in real time? What if we can interact with other stakeholders through one single EIA platform? What if we can visualize BIM and 3D GIS data on a web browser? These days, building information modeling is getting popular and popular, so if we can integrate those BIM data in the EIA process, they might be cruel. So these are the motivations of this research. We needed to change document-oriented EIS statements into dynamic and multimedia-based EIS statements. We needed to make EIS statements more accessible, readable, understandable to non-experts. Current EIS statements are so full of jargons, technical terms, scientific numbers, so you can be suffocated. And if we can increase the citizen participation throughout the whole EIA process, that will increase transparency around the EIA. Also, if we adapt the cutting edge digital technology to EIA, we may enjoy many benefits like real-time modeling, real-time simulation, and easy communication. This research project is National R&D Project funded by Ministry of Environment South Korea. It is a five-year long project and many organizations are involved in this R&D project, including National Research Institute, universities, and companies like my company, GAYASVD. And on the parent R&D project called Decision Support System Development Project for EIA, my company is carrying out mainly visualization part. Over the research structures like this and my company together with the other company, we are in charge of radar side development, opposite. And as I already mentioned earlier, my company will be responsible for the visualization platform mainly. We are currently working on beam-dised visualization and EIA data visualization. This talk is part of this research outcome over the last 16 months. Actually, this research project started last June, last year, and then over the last 16 months, we have carried out several researches. This is a conceptual system design for the EIA data visualization system designed by Mike Lee. This will be a multi-layer based system, including data layer, processing and business layer, application layer, and service layer. We hope by mixing up and combining components in each layer, this system could easily create another service. This is also a conceptual component breakdown, how to implement some of analytical functions for the EIA by combining and chaining atomic process using WPS OGC standard where processing may reduce the development time and cost. And we expect increased flexibility. This is a proposed system architecture for our research project. We have a plan to make use of many numerous open source projects like post-GIS, geoserver, georectrash, and MAGO3D. And we hope we could release all the outcomes as an open source project later. Actually, when we submitted our application to Ministry of Environment Korea, for this research project, we already proposed that we will use open source and we will share all the outcomes as open source. We are still waiting for Ministry of Environment's final decision. So why visualization matters? This famous picture shows the importance of visualization of data. 13 data sets in this picture have the same X-min value, Y-min value, same standard deviation, and correlation. But with a total difference of spatial patterns, sometimes descriptive statistics lose the trends and patterns of data like this. And EIAs take much full of data. However, those data don't say many things to the ordinary people with just numbers. Usually, there are analyzed data only. Effective data understanding includes not only data analytics, but also visual storytelling, data visualization, and the real-time interactions. So importance of visualization can be summarized like this. First, we can instantly know what big data sets. Second, no expert can understand the minimum data more easily. Third, we can catch the trends and the patterns of the data. Fourth, we can easily share the minimum data with other people. Fifth, we can increase the data usage. Here is a simple case that interactive noise visualization helps understand noise propagation of a moving train. This research tries to implement this kind of visualization and the simulation for the stakeholders to increase the understanding around EIA. So now on, I would like to share some of our research outcomes. More and more developers are trying to use BIM over their development phases. And if we can integrate those BIM data with the EIA process, that will help us understand the big picture of the project in more real-time. Now you can see the detailed BIM data of the power plant. Also, we can see the phases of the constructions like this. We also can visualize the wind and compare the people and the abstract constructions like this. Now you are seeing the wind data. Left side is the people construction wind data. And right side, you can see the abstract construction wind data. This shows how the developed plan can change the wind flows and directions. Actually, you know current EIA statements show this kind of wind changes as just wind loads or wind speeds only. That does not give the real implication of wind change to non-experts. Also, we tested air pollution visualization as a heat map with the iso-line. Let's take a look at this. You can see the air polluted point and then you can read the value of the air polluted points, PM2.5, PM10, and then how their distribution is over the surface. Also, using a sensor things API, we can read the time series value and we can display that as a graph. This is the data collecting point with the iso-line. We use the GDAR for interpolation and to create this kind of iso-line. This is the hydrology visualization case and you can see very interesting our test. Let's imagine that what if non-experts can participate in this kind of simulation and can give feedback to developers and the government. This is the kind of trial to implement real-time simulation EIA process. Users can see how the water flows and then the users can move the locations of banks and see what will happen in real time. Now you can see the buildings and then the users can move their buildings around the stream and how the kind of development plan affects the water flow. It's a very interesting case. This is another interesting visualization case with oil spill or water pollutant flows. Let's take a look at it. Also, we can move the bank like this and now you can see the red stream. That is the oil spill. Let's imagine that that is the oil spill or water pollutant flows and then by moving the object or some object over the source of the oil or water pollutant, you can see how the water pollutant flows and how they affect the water quality and other things. By collecting the moving data locations, we can put the kind of coordinate to that object and then we can simulate how oil spill flows and how water pollutant flows and other things. Okay, let's wrap up now. As you know, current EIA statements are quite paper document oriented. So simply to say, very old-fashioned and current EIA statements are hard to navigate, hard to read, and hard to understand with full of jargon, with full of technical terms, and with full of scientific numbers which make public inaccessible to the real meaning of statements. And current EIAs are falling behind other industries that harnessing digital technology to drive productivity. So we need to innovate in terms of EIA process. So this project, this research project is an attempt to increase transparency, accessibility, trust, to interactions among stakeholders around the EIA processes. Also, it is expected to give a new tool to stakeholders for understanding EIA process by developing new ways of EIA data visualizations. So actually, as you saw by a presentation, we've tested many things and we tried many things and we got several very quick outcomes, but still long way to go. And this is just an initial stage of this research. Okay, thank you very much for your attention. And I would like to also thanks to the Ministry of Environment Korea for funding this wonderful research project. And if you have any questions or inquiries, feel free to mail me. My email address is below, shshinatpiasri.com. So if you have any questions and inquiries, just mail me. Thank you so much and have a nice post 40. Thank you so much. Thank you, Sanji. This was really an impressive, impressive talk and very cool examples. And I'm quite sure we had a big flood in Germany. I was really surprised what you already did in that case. That really could be interesting for them because the flood came to places where it never been before and nobody thought about that. And
 It's Sanji. I think a lot of people, a few of you may remember him. He chaired the  Phosphor G250 in Seoul and he wrote in his normal life, he's CEO and president of Gaia3D  and a really cool guy, which I really can confirm. It's really a pity that he can't join,  but in Korea it's 4.30 in the morning and I said, it's okay, I'm going to present your video and  that makes me a little bit sad after we had so many questions in the talk before, so we won't  be able to answer any questions. Maybe he wakes up and comes in, but I just start the video and  enjoy the talk from Sanji. Good morning and good afternoon everyone. My name is Sanji Shin and I  am from South Korea. At first I would like to ask you understanding for my recorded presentations.  Here in Korea is now 4.30 a.m. early in the morning, so I have to record this presentation earlier for  this talk. Today I'll be talking about the EIA, Environmental Impact Assessment Data Visualization  Technology using Phosphor G. Okay, let's get started. However, before start my presentation,  I would like to turn off this video. I'm not sure how many of you are already familiar with EIA,  Environmental Impact Assessment Process. There are several EIA definitions. Here I got two definitions  from Korea and the United Kingdoms. According to Korea Environment Corporation, that is a state  or the public company in Korea. According to them, EIA is designed to review, predict, and assess  the potential environmental impact of a project, people whose plan is finalized in order to come  up with measures to prevent or minimize any possible adverse impact that the project could have on  the environment. Also, digital EIA project partners from UK gave similar definitions like below.  The main core concept is that we need to examine the adverse impact to the environment  before development project, that is EIA. EIA is adopted in many countries all around the world  and regulated by each country's regulations. Usually, EIA has several key stages like below,  screening, scoping and the baselining, assessment and predictions, submissions and consultations,  and finally decision and monitoring. Actually, each stage has many steps to be done. There are  lots of things to be done. Also, if you have much interest in EIA key stages, you can see my slide  later. This talk is about the research project that how to innovate EIA process with cutting-edge  digital technology. I'm going to talk a little bit about the problem of current EIA process.  One of the main problems that current EIA statements are quite huge in terms of pages  and contents with many unnecessary data and information. At the left side, you can see the  real case of EIA statements from Korea. It has more than 1,800 pages excluding appendixes.  Right side, you can see the UK cases that they usually produce more than 4,000 pages long  statements. It's ridiculous. Producing this kind of huge statement is quite a buzzer. And  the current EIA statements are quite paper document-oriented, so it's quite static without  any interactivity. It means all the assessments and prediction data are stopped and embedded only  in documents. At the left side of this slide, you can see the noise predictions map with 2D  and vertical profiles. However, it doesn't give much information to the people who live in high  buildings because 2D map shows the noise predictions on the ground level and vertical  profiles shows the noise propagation at a certain point. If your house does not fall into that point,  you can't realize how noisy your house may be. Right side, P&Tank distribution map also shows  the predicted data on the ground level as well. You know, air mass is three-dimensional.  So with this kind of current EIA problems, we may ask these kinds of questions to ourselves.  What if we can see the assessment and predictions in an interactive way? What if we can change the  development plan by and want to see the result in real time? What if we can interact with other  stakeholders through one single EIA platform? What if we can visualize BIM and 3D GIS data  on a web browser? These days, building information modeling is getting popular and popular, so if we  can integrate those BIM data in the EIA process, they might be cruel. So these are the motivations  of this research. We needed to change document-oriented EIS statements into dynamic and  multimedia-based EIS statements. We needed to make EIS statements more accessible, readable,  understandable to non-experts. Current EIS statements are so full of jargons, technical terms,  scientific numbers, so you can be suffocated. And if we can increase the citizen participation  throughout the whole EIA process, that will increase transparency around the EIA. Also,  if we adapt the cutting edge digital technology to EIA, we may enjoy many benefits like real-time  modeling, real-time simulation, and easy communication. This research project is  National R&D Project funded by Ministry of Environment South Korea. It is a five-year  long project and many organizations are involved in this R&D project, including National Research  Institute, universities, and companies like my company, GAYASVD. And on the parent R&D project  called Decision Support System Development Project for EIA, my company is carrying out  mainly visualization part. Over the research structures like this and my company together  with the other company, we are in charge of radar side development, opposite. And as I already  mentioned earlier, my company will be responsible for the visualization platform mainly. We are  currently working on beam-dised visualization and EIA data visualization. This talk is part of  this research outcome over the last 16 months. Actually, this research project started last  June, last year, and then over the last 16 months, we have carried out several researches.  This is a conceptual system design for the EIA data visualization system designed by Mike Lee.  This will be a multi-layer based system, including data layer, processing and business layer,  application layer, and service layer. We hope by mixing up and combining components in each  layer, this system could easily create another service. This is also a conceptual component  breakdown, how to implement some of analytical functions for the EIA by combining and chaining  atomic process using WPS OGC standard where processing may reduce the development time  and cost. And we expect increased flexibility. This is a proposed system architecture for our  research project. We have a plan to make use of many numerous open source projects like post-GIS,  geoserver, georectrash, and MAGO3D. And we hope we could release all the outcomes as an open  source project later. Actually, when we submitted our application to Ministry of Environment Korea,  for this research project, we already proposed that we will use open source and we will share  all the outcomes as open source. We are still waiting for Ministry of Environment's final decision.  So why visualization matters? This famous picture shows the importance of visualization of data.  13 data sets in this picture have the same X-min value, Y-min value, same standard deviation,  and correlation. But with a total difference of spatial patterns, sometimes descriptive  statistics lose the trends and patterns of data like this. And EIAs take much full of data.  However, those data don't say many things to the ordinary people with just numbers. Usually,  there are analyzed data only. Effective data understanding includes not only data analytics,  but also visual storytelling, data visualization, and the real-time interactions.  So importance of visualization can be summarized like this. First, we can instantly know what big  data sets. Second, no expert can understand the minimum data more easily. Third, we can catch the  trends and the patterns of the data. Fourth, we can easily share the minimum data with other people.  Fifth, we can increase the data usage. Here is a simple case that interactive noise  visualization helps understand noise propagation of a moving train.  This research tries to implement this kind of visualization  and the simulation for the stakeholders to increase the understanding around EIA.  So now on, I would like to share some of our research outcomes. More and more developers  are trying to use BIM over their development phases. And if we can integrate those BIM data  with the EIA process, that will help us understand the big picture of the project in more real-time.  Now you can see the detailed BIM data of the power plant.  Also, we can see the phases of the constructions like this.  We also can visualize the wind and compare the people and the abstract constructions like this.  Now you are seeing the wind data. Left side is the people construction wind data. And right side,  you can see the abstract construction wind data. This shows how the developed plan can change the  wind flows and directions. Actually, you know current EIA statements show this kind of wind  changes as just wind loads or wind speeds only. That does not give the real implication of wind  change to non-experts.  Also, we tested air pollution visualization as a heat map with the iso-line. Let's take a look at this.  You can see the air polluted point and then you can read the value of the air polluted  points, PM2.5, PM10, and then how their distribution is over the surface. Also, using a sensor things  API, we can read the time series value and we can display that as a graph. This is the  data collecting point with the iso-line. We use the GDAR for interpolation and to create this kind of iso-line.  This is the hydrology visualization case and you can see very interesting  our test. Let's imagine that what if non-experts can participate in this kind of simulation  and can give feedback to developers and the government. This is the kind of trial to implement  real-time simulation EIA process. Users can see how the water flows and then the users can move  the locations of banks and see what will happen in real time. Now you can see the buildings  and then the users can move their buildings around the stream and how the kind of development plan  affects the water flow. It's a very interesting case.  This is another interesting visualization case with oil spill or water pollutant flows.  Let's take a look at it. Also, we can move the bank like this and now you can see the red stream.  That is the oil spill. Let's imagine that that is the oil spill or water pollutant  flows and then by moving the object or some object over the source of the  oil or water pollutant, you can see how the water pollutant flows and how they affect the  water quality and other things. By collecting the moving data locations, we can put the kind of  coordinate to that object and then we can simulate how oil spill flows and how water pollutant flows  and other things. Okay, let's wrap up now. As you know, current EIA statements are quite  paper document oriented. So simply to say, very old-fashioned and current EIA statements are  hard to navigate, hard to read, and hard to understand with full of jargon, with full of  technical terms, and with full of scientific numbers which make public inaccessible to the  real meaning of statements. And current EIAs are falling behind other industries that harnessing  digital technology to drive productivity. So we need to innovate in terms of EIA process. So this  project, this research project is an attempt to increase transparency, accessibility, trust,  to interactions among stakeholders around the EIA processes. Also, it is expected to give a new tool  to stakeholders for understanding EIA process by developing new ways of EIA data visualizations.  So actually, as you saw by a presentation, we've tested many things and we tried many things and  we got several very quick outcomes, but still long way to go. And this is just an  initial stage of this research. Okay, thank you very much for your attention. And I would like to  also thanks to the Ministry of Environment Korea for funding this wonderful research project.  And if you have any questions or inquiries, feel free to mail me. My email address is below,  shshinatpiasri.com. So if you have any questions and inquiries, just mail me.  Thank you so much and have a nice post 40. Thank you so much.  Thank you, Sanji. This was really an impressive, impressive talk and very cool examples. And I'm  quite sure we had a big flood in Germany. I was really surprised what you already did in that case.  That really could be interesting for them because the flood came to places where it never  been before and nobody thought about that. And
FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_0_1415.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_1416_1967.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_1968_2135.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_2136_6695.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_6696_8099.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_8100_15083.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_15084_17207.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_17208_17711.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_17712_17951.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_17952_18719.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_18720_19055.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_19056_20999.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_21000_21095.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_21096_23219.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_23220_23771.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_23772_25307.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_25308_26339.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_26340_26495.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_26496_29123.png FOSS4G_2021_-_A_Research_on_EIA_Environment_Impact_G-4qG0L2Rrs_29124_30091.png
It's Sanji. I think a lot of people, a few of you may remember him. He chaired the Phosphor G250 in Seoul and he wrote in his normal life, he's CEO and president of Gaia3D and a really cool guy, which I really can confirm. It's really a pity that he can't join, but in Korea it's 4.30 in the morning and I said, it's okay, I'm going to present your video and that makes me a little bit sad after we had so many questions in the talk before, so we won't be able to answer any questions. Maybe he wakes up and comes in, but I just start the video and enjoy the talk from Sanji. Good morning and good afternoon everyone. My name is Sanji Shin and I am from South Korea. At first I would like to ask you understanding for my recorded presentations. Here in Korea is now 4.30 a.m. early in the morning, so I have to record this presentation earlier for this talk. Today I'll be talking about the EIA, Environmental Impact Assessment Data Visualization Technology using Phosphor G. Okay, let's get started. However, before start my presentation, I would like to turn off this video. I'm not sure how many of you are already familiar with EIA, Environmental Impact Assessment Process. There are several EIA definitions. Here I got two definitions from Korea and the United Kingdoms. According to Korea Environment Corporation, that is a state or the public company in Korea. According to them, EIA is designed to review, predict, and assess the potential environmental impact of a project, people whose plan is finalized in order to come up with measures to prevent or minimize any possible adverse impact that the project could have on the environment. Also, digital EIA project partners from UK gave similar definitions like below. The main core concept is that we need to examine the adverse impact to the environment before development project, that is EIA. EIA is adopted in many countries all around the world and regulated by each country's regulations. Usually, EIA has several key stages like below, screening, scoping and the baselining, assessment and predictions, submissions and consultations, and finally decision and monitoring. Actually, each stage has many steps to be done. There are lots of things to be done. Also, if you have much interest in EIA key stages, you can see my slide later. This talk is about the research project that how to innovate EIA process with cutting-edge digital technology. I'm going to talk a little bit about the problem of current EIA process. One of the main problems that current EIA statements are quite huge in terms of pages and contents with many unnecessary data and information. At the left side, you can see the real case of EIA statements from Korea. It has more than 1,800 pages excluding appendixes. Right side, you can see the UK cases that they usually produce more than 4,000 pages long statements. It's ridiculous. Producing this kind of huge statement is quite a buzzer. And the current EIA statements are quite paper document-oriented, so it's quite static without any interactivity. It means all the assessments and prediction data are stopped and embedded only in documents. At the left side of this slide, you can see the noise predictions map with 2D and vertical profiles. However, it doesn't give much information to the people who live in high buildings because 2D map shows the noise predictions on the ground level and vertical profiles shows the noise propagation at a certain point. If your house does not fall into that point, you can't realize how noisy your house may be. Right side, P&Tank distribution map also shows the predicted data on the ground level as well. You know, air mass is three-dimensional. So with this kind of current EIA problems, we may ask these kinds of questions to ourselves. What if we can see the assessment and predictions in an interactive way? What if we can change the development plan by and want to see the result in real time? What if we can interact with other stakeholders through one single EIA platform? What if we can visualize BIM and 3D GIS data on a web browser? These days, building information modeling is getting popular and popular, so if we can integrate those BIM data in the EIA process, they might be cruel. So these are the motivations of this research. We needed to change document-oriented EIS statements into dynamic and multimedia-based EIS statements. We needed to make EIS statements more accessible, readable, understandable to non-experts. Current EIS statements are so full of jargons, technical terms, scientific numbers, so you can be suffocated. And if we can increase the citizen participation throughout the whole EIA process, that will increase transparency around the EIA. Also, if we adapt the cutting edge digital technology to EIA, we may enjoy many benefits like real-time modeling, real-time simulation, and easy communication. This research project is National R&D Project funded by Ministry of Environment South Korea. It is a five-year long project and many organizations are involved in this R&D project, including National Research Institute, universities, and companies like my company, GAYASVD. And on the parent R&D project called Decision Support System Development Project for EIA, my company is carrying out mainly visualization part. Over the research structures like this and my company together with the other company, we are in charge of radar side development, opposite. And as I already mentioned earlier, my company will be responsible for the visualization platform mainly. We are currently working on beam-dised visualization and EIA data visualization. This talk is part of this research outcome over the last 16 months. Actually, this research project started last June, last year, and then over the last 16 months, we have carried out several researches. This is a conceptual system design for the EIA data visualization system designed by Mike Lee. This will be a multi-layer based system, including data layer, processing and business layer, application layer, and service layer. We hope by mixing up and combining components in each layer, this system could easily create another service. This is also a conceptual component breakdown, how to implement some of analytical functions for the EIA by combining and chaining atomic process using WPS OGC standard where processing may reduce the development time and cost. And we expect increased flexibility. This is a proposed system architecture for our research project. We have a plan to make use of many numerous open source projects like post-GIS, geoserver, georectrash, and MAGO3D. And we hope we could release all the outcomes as an open source project later. Actually, when we submitted our application to Ministry of Environment Korea, for this research project, we already proposed that we will use open source and we will share all the outcomes as open source. We are still waiting for Ministry of Environment's final decision. So why visualization matters? This famous picture shows the importance of visualization of data. 13 data sets in this picture have the same X-min value, Y-min value, same standard deviation, and correlation. But with a total difference of spatial patterns, sometimes descriptive statistics lose the trends and patterns of data like this. And EIAs take much full of data. However, those data don't say many things to the ordinary people with just numbers. Usually, there are analyzed data only. Effective data understanding includes not only data analytics, but also visual storytelling, data visualization, and the real-time interactions. So importance of visualization can be summarized like this. First, we can instantly know what big data sets. Second, no expert can understand the minimum data more easily. Third, we can catch the trends and the patterns of the data. Fourth, we can easily share the minimum data with other people. Fifth, we can increase the data usage. Here is a simple case that interactive noise visualization helps understand noise propagation of a moving train. This research tries to implement this kind of visualization and the simulation for the stakeholders to increase the understanding around EIA. So now on, I would like to share some of our research outcomes. More and more developers are trying to use BIM over their development phases. And if we can integrate those BIM data with the EIA process, that will help us understand the big picture of the project in more real-time. Now you can see the detailed BIM data of the power plant. Also, we can see the phases of the constructions like this. We also can visualize the wind and compare the people and the abstract constructions like this. Now you are seeing the wind data. Left side is the people construction wind data. And right side, you can see the abstract construction wind data. This shows how the developed plan can change the wind flows and directions. Actually, you know current EIA statements show this kind of wind changes as just wind loads or wind speeds only. That does not give the real implication of wind change to non-experts. Also, we tested air pollution visualization as a heat map with the iso-line. Let's take a look at this. You can see the air polluted point and then you can read the value of the air polluted points, PM2.5, PM10, and then how their distribution is over the surface. Also, using a sensor things API, we can read the time series value and we can display that as a graph. This is the data collecting point with the iso-line. We use the GDAR for interpolation and to create this kind of iso-line. This is the hydrology visualization case and you can see very interesting our test. Let's imagine that what if non-experts can participate in this kind of simulation and can give feedback to developers and the government. This is the kind of trial to implement real-time simulation EIA process. Users can see how the water flows and then the users can move the locations of banks and see what will happen in real time. Now you can see the buildings and then the users can move their buildings around the stream and how the kind of development plan affects the water flow. It's a very interesting case. This is another interesting visualization case with oil spill or water pollutant flows. Let's take a look at it. Also, we can move the bank like this and now you can see the red stream. That is the oil spill. Let's imagine that that is the oil spill or water pollutant flows and then by moving the object or some object over the source of the oil or water pollutant, you can see how the water pollutant flows and how they affect the water quality and other things. By collecting the moving data locations, we can put the kind of coordinate to that object and then we can simulate how oil spill flows and how water pollutant flows and other things. Okay, let's wrap up now. As you know, current EIA statements are quite paper document oriented. So simply to say, very old-fashioned and current EIA statements are hard to navigate, hard to read, and hard to understand with full of jargon, with full of technical terms, and with full of scientific numbers which make public inaccessible to the real meaning of statements. And current EIAs are falling behind other industries that harnessing digital technology to drive productivity. So we need to innovate in terms of EIA process. So this project, this research project is an attempt to increase transparency, accessibility, trust, to interactions among stakeholders around the EIA processes. Also, it is expected to give a new tool to stakeholders for understanding EIA process by developing new ways of EIA data visualizations. So actually, as you saw by a presentation, we've tested many things and we tried many things and we got several very quick outcomes, but still long way to go. And this is just an initial stage of this research. Okay, thank you very much for your attention. And I would like to also thanks to the Ministry of Environment Korea for funding this wonderful research project. And if you have any questions or inquiries, feel free to mail me. My email address is below, shshinatpiasri.com. So if you have any questions and inquiries, just mail me. Thank you so much and have a nice post 40. Thank you so much. Thank you, Sanji. This was really an impressive, impressive talk and very cool examples. And I'm quite sure we had a big flood in Germany. I was really surprised what you already did in that case. That really could be interesting for them because the flood came to places where it never been before and nobody thought about that. And
later. This talk is about the research project What if we can visualize BIM and 3D GIS data on a can integrate those BIM data in the EIA process, like real-time modeling, real-time simulation, National R&D Project funded by Ministry of Environment South Korea. It is a five-year long system designed by Mike Lee. This will be a release all the outcomes as an open source application to Ministry of Environment Korea, for Ministry of Environment's final decision. So why understanding includes not only data analytics, but also visual storytelling, data visualization, patterns of the data. Fourth, we can easily share EIA process, that will help us understand the big Let's imagine that what if non-experts can participate in this kind of simulation and can