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GIS-based modeling with tangible interaction

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I will be presenting today work of my colleagues atoms Carolina State University and it's summarized in that book named James based modeling with tangible interaction so what's the what's behind this and the name the so as you know landscape
of controls many natural and anthropogenic phenomena that it influences for the fall of erosion inundation time but also for example visibility of their terms so our idea and on the make better land and spend decisions it is what do you understand that there are often unforeseen impact of landscape changes and which can occur naturally or can result from some under which any in their engines so I don't to understand these impacts of the ark and tried to explore different scenarios and see how the scenario of behave but to do that we on each
to incorporated therein modifications in the digital elevation model usually assume dedicated software Michael J. historic get software and this can be the unintuitive and tedious as you might know of for all also we are band limited by the two-dimensional display and the mouse and stuff like this so now instead began I can modify the physical see dimensional model which is so intermediate doesn't require any prior experience with the software and enable smart people to interact and share their ideas so to see images of terror as if see internal model it that are on the presence the danger of a user interface and then to the user interface unlike the graphical user interface updates much Marty advantage of people's ability to sense and manipulate a physical work
so the idea of defined on the physical model instead of it's a digital representation as the key concept of tangible geospatial modeling and visualization system which we also call up shortly pendulums and so our intentions the couple at the physical model this skin the projector and GIS software and in this way we can model and explore how landscape changes an influence other studies phenomena than just is not a completely new system of however recent advances in the homology allowed us to improve the system and make it much more accessible as I will explain later on so this is a
picture of the physical set up so you can see that and he had the idea of a computer is of this suggests turn then at to physical model itself above it so there's a scanner and a projector so instead of using a laser scanner which we did before our started to use Kinect sensor and the advantages of it is the price and also from our tens of thousands of dollars a year could think tools 100 200 dollars and also because the couple at a couple of this system if open source and denounced yarious data to get the makes this set up and much more financially financially accessible and even for individuals the so how does it work so you decide and
we have this feedback loop when we modified the model skin 8 of in border on the modified well in border skin into a GIS year-round geospatial analysis on the modified digitalization model and predict the result back and ever weight of related changes and this all happens in real time so this is a bit of a feedback loop allows us to have studied phenomenon and also is better designed but there is more creative design the the and so this is a little be
just a short all demonstration of the system and I will show more applications later on of so have year the physical model from send and project or TOEFL dull and then dynamically computed contours and know what the full assimilation during the storm even and the now as you as you can see it so so I the old is gets flooded quickly so what he's trying to do is trying to prevent that by like raising the role of and as you can see here the full but
the engine changes and it is out in our like a bond where the where and lights the the so you might be wondering how it circulates them the physical models so the use manual always
seldom up ultimately ways and a combination of both so when the 1st look
at the many ways so the and you sent but it's a it's a special sent and rich with polymeric it's basically boy that you can buy online so but the size like it sticks together and so this nice properties and then how we create a model so you can see the easiest way is to project the the contours of your digital elevation model and the color representing the polarisation and just form it with your hands to get something more precise Ugandan scans model and do the subtraction and you basically get the difference between the your current state of the model and the desired of digital model and and the cost and show you all you need to add more than here or there is too much sense in this place here is the red and blue color and so this is the simplest way about the also and their
drink printed models of this this is still a a little bit expensive and a mainly uh the size is the limitation of this goes so you don't have access to any of the of us city printer reach of would bring some larger models I'm so and that's where he tried
to use the CNC router to carve a model from and yet medium density fiberboard and there's a there's no real imitation of the size and it's actually cheaper too but it basically depends on all that if you have access to either since you don't oracy printing machine so we have these of
character of printed models but the to modified and so what we do is set at the for the layer of the center on the whole those models get bigger precise surface of you can carve up so you can use the digital Bayesian model but and got model the 2nd model and use it as a mold a new precedents as you can see in the picture and you get a precise surface but it's still of modifiable I and
this is just a summary of the workflow for the since out there and you either have the digital edition model already in a areas or you can derive it from for example I don't that which we do quite often and any exported as ASCII file and then use I know to to process it and afforded afford a CNC machine which involves surgery think path and exporting American throw file which can be read by the since the throughout I the so now I'll talk a little bit more about the software part so found that 2 main components this is the Kinect scanning application Soviet right so we basically the samples on the interconnected windows symbols of deterrence and publications and we just customized at home for our needs and so this is this is scanning of and then use gas jails for the modeling part and I will talk about it so later on and and then uh like a goal we use quite a by them because that's I think the easiest way of at least for me and the gas as a set of binding so quite API for Python and the software is available on the keypad and it'll be allowed to ticket have you are this cell will be on the last slide the the so on
the the choose years because it there's a very comprehensive health GIS and it allows us to do hydrology modeling of wildfire solar radiation and John morphology and and and so on and then there was another important thing is that it supports and CDF service which is not the very it you can't see this very often shares of terms and we take advantage of this because as you see in the applications and
moreover it and now it has also advanced spatial temporal and handling come capabilities as so on it in and yes of has set them prof framework and it allows you to a much easier I can go so much time series of the that and for us it's interesting because we compute some simulations Our either of solar radiation during the day or order fire spread the deal if this this these time series and this also includes some you're in visualization tools like creating animations you can imagine that emissions are pretty important to us for projecting the animations on the model the the and so on then it's yes yes talks to buy them that's important thing it talks also to some other but mn applications like typically in an hour or some others and then it's open source so we can modify it up for our needs and of course this great the also can give back that project because we already fixed a few bucks because you're running running again grass years and of on the edge in certain sense and Our and we also developed some new tools which also other users can induce now
so I'm going to summarize the applications which she came up there so and then Jonas is a that is a collaborative tools on more people can interact and of the model it's great if you can imagine that people get creative when they played a sad so integrate them great all for Joe sign because you can dust that is different scenarios and you can immediately see what is the impact of your changes if you can not improve it and so on and then and that think is jealous education so we would like to incorporate this in our ingest courses of because it shows it helps students to understand some organisms like some water flow algorithms and and another thing is that it is also a tool for testing some annual gardens because you generate new new data I in that this can help us to understand word on Britain might not perform as well the and so now we are getting that
applications so this 1 and to be uh looking at the edge of the stage at North Carolina is send
you on and it's on the outer
banks and your assimilating and the impacts of both stone search if a simple simulation but and it shows you where did the places where the dunes
vulnerable you can up later it
and imagine that the coat of build up more did you on in displays and its coat of prevent it wanted to of flooded buildings
and then of this is just a
couple of pictures and where you're on designing questions were designing and new residential tone quarter alone in a place here it's a 2 invalid very close to the university so irritating to assist like if it influences the of the watersheds there and how the erosion would look like you end
of this is a as an example of that educational usage and also testing of algorithm because here we are running out specialized algorithm are called June more fonts uh it's it a identify forms like
creatures follies is you quite a new tool in gas yes and it is based on visibility analyzes combined with some computer vision approach this is just an interesting and and so you can our industry that explain students of U. of some geomorphology class of what they're talking about and also test operator so in this
example of you're trying to use for this example shows how dangerous can be used for decision support and during income wildfire fire so long as yes so about our modeling tools which use here and and look at a model yeah physical
looking at the tree kind of being out this was derived from wider only that and so we can simulate the firebreak by removing the tree copying the sent
from from a certain places you can see now end so you can immediately see how the fire spread changes other In this case so you and not lucky the fire just went around some and this is
another interesting application this is a project of former student and I was helping him that this is so this our goal edge forms of home near Cape Fear River in North Carolina and also the of ash bonds are and how dangerous in the sense that they and there a lot of toxic waste and then and so he was so interested in type of assessing what some of what would be the impact of some catastrophic event like that the quantity of thank break and then all the all the water at the base of what's going out and enter single layer of it wouldn't really get into the river it would probably just going to draw on underground and about it would cost damage anyway but not in a different sense and enter the thing is
the last 1 I have here prepared but it's quite an exciting day of publication where use it for CDs the visualization so our just explained and we have these points the set symbols 3 . sample survey its own the soil moisture and percentage of so much churn entity in the play that and diversity roster of this so so much and now and so we
can you can the and the sandbox is basically it represents the 2 year Austin and when you dig a bit or some depression it's on visualize the values of the CDS there in the particle place and that what it is that it is the same as you would just come somewhere and take a real bit and I just looked down there what's what's in debate so how it is
computed and as a cross section of those scanned surface live velocity roster the the and this is just
some of the same thing of where the uh this state he said the same date that and how you can see there's a lot of fault or or to understand what's what kind of place is this at some field some of the culture of place and of triangles represent a locations of the samples and so there is a quite a deep hole inside and when you on right at Morris into the the bill of depression and you can
see that the values are obviously changed so as the higher you can you have thought of lower moisture and and so on so this like
still abound what is the next so we are currently trying to incorporate that engines in Canada J. courses so we hadn't workshops with escape architects and you'd like to there's a lot of things to do you like to try and for example different ways of interaction you can interact if thought of thank placing some off the break and in their thinking and saying this is the sum of the particle landscape class and so on the interactive colors or if different textures and there are other things also as you like to stop using Microsoft Windows because now we are currently there but and we have to use Windows because of Kinect from beginning doesn't work like doesn't work elsewhere as so either we can find ways of the use of connector elsewhere or we can also consider using different since all of the standards are you developing very quickly out so an ideal on yields of the time different solution also end up in a related issue is that and so far they have worked for the Florida prepare for preparing the STT physical models and amid the since you know the the workflow is not a completely open source because they're using kind of software also we might have the wish to our through a find some completely open-source way how to do it and there are some tools I already looked at it but we'll see OK the thank you know there's my e-mail our inside the confinement of some of the pictures and videos and and this is the quote from people of think you few
thanks that was really cool this leads off where you have some about part about the use of landform quantification have what you tell me how many of these had landforms you identify with received testing you do on that and if you know if there's any other software compared to the physical stuff I get that this is just what we are just using this module in gas giants and so I don't know a lot about it
so that you can see basically what you see here there's a legit taken and I can see it what kind of fallen forms it it can do there is a I I would suggest to you to look at the manual beta for this module and it's art of John form and our there should be a fundamental breach they should explain how it actually works on his the yesterday is that there's a there's a paper on it so you should be there just google it and look at the current and check datasets how large is the young the spirit of the working Africa about whether foot or but and how large is it and this 1 is status
small it's like I say at this centimeters cm of that of the other ones so this site have meter and so I called worthless jugular the larger 1 is adequate you feel the need that you would if you had to be working you too much more word more precision and work of course larger models our out better
in the sense that i'm you can do much more stuff there and bad then I also have to consider like the scanning part so the larger the model you have to have scan higher which means a precision so need at
this is like the ideal of you can go on or even larger with larger model but also i you get of lower precision so with really
issues were larger 1 to the real time that what do we think I yeah that's a that's another issue and there there are still ways of how to how to speed it up and so we'll work on on this issue of and I just wonder how long to it take a
set up of the model of the sandbox for that there's an error and so if you do if you have a 1 to create just a
model from send Our and you have all the data you need like elevation model then you can build it in 5 minutes it and so that this is physically fit he she would like to add that they're dead and a cache model then you have to spend more time at the very end of
the basic at a file that by the since you have there and then declaring itself can take several hours of thank you
for the presentation of what during my we look the 1st with modeling how we regional laughter available you would say this simulation is because I want to do is to boost Chris Thomas from 1 North America for the
omics project on speech yesterday and they are analyzed the fire even steamy United States forest in the whole country for last 4 years of of the
populace are he presented below at the conclusion of the 3rd dramatically they're very complicated and it doesn't spread and the finalized but with this this is a simplified simulation and so it partially depends on it depends on the right software and on the input data so yeah despite their modeling
tools and I think these are quite reliable I'm pretty sure I'm bad but then the problem is always in the of the input data because it
requires a different kind of AI so you need a fuel classes you need that of moisture and they're like several types of moisture manager taken into account the end from our experience of some of the data are not accessible anywhere and people just do the some informed guess
and this can make a difference and in this in this case we have and the wind is just going in 1 direction if
1 speed so and you can also incorporate changes of mean and I'm also wondering how all yourself talked to public software is possible on my Pokémon me about this part small viewers you showed the water flotsam the water flows and the like building up the
old and uh cultures to stock to parts of to through could the use of draft for the actual project after and proteasome integral you can save the state
and see the digital model in gas areas and then you can export it their mother base of exported either as site points and OK thank you
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Metadaten

Formale Metadaten

Titel GIS-based modeling with tangible interaction
Serientitel FOSS4G 2014 Portland
Autor Petrasova, Anna
Harmon, Brendan
Mitasova, Helena
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/31761
Herausgeber FOSS4G, Open Source Geospatial Foundation (OSGeo)
Erscheinungsjahr 2014
Sprache Englisch
Produzent FOSS4G
Open Source Geospatial Foundation (OSGeo)
Produktionsjahr 2014
Produktionsort Portland, Oregon, United States of America

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract We present advances in the development of TanGeoMS, tangible geospatial modeling and visualization system. By coupling a physical three-dimensional landscape model, Kinect scanner, projector, and open source GIS software suite GRASS GIS, we created an intuitive tangible interface for dynamic modeling of real-world processes in response to different terrain data inputs. How does it work? You modify the flexible physical model by hands while it is being scanned, imported and processed in GRASS GIS. After computing a desired geospatial analysis or dynamic simulation, the results are projected back on the physical model providing you with instant feedback.With TanGeoMS we can explore how dune breaches affect coastal flooding, how the spread of fire is influenced by location of firebreaks or what is the effectiveness of various landscape designs for controlling runoff and erosion. We can add buildings and assess the distribution of solar radiation for different building sizes and locations or explore impacts of built structures and trees on line of sight and viewsheds. We will cover new 3D manufacturing technologies and materials we use to create precise physical models and discuss various options for single user and collaborative system designs. Whether you are involved in environmental modeling, decision-making, education or you are just curious, you will find this talk inspiring for your own projects.
Schlagwörter visualization
Kinect
GRASS GIS
decision support
tangible interface

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