The challenges and benefits of implementing OS geo within a large contracting company
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| Number of Parts | 351 | |
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| License | CC Attribution 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
| Identifiers | 10.5446/69217 (DOI) | |
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| Production Year | 2022 |
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FOSS4G Firenze 202228 / 351
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00:00
Server (computing)Computer networkNumberInformationServer (computing)NumberGeometrySet (mathematics)Archaeological field surveyWater vaporFile formatOpen sourceMoment (mathematics)Online helpInformationMultiplication signClient (computing)Vapor barrierSource codeField (computer science)WordSoftware developerProjective planeRight angleDebuggerMobile appConstructor (object-oriented programming)Software frameworkAreaOpen setView (database)Goodness of fitUniform resource locatorSlide rulePresentation of a groupOnline chatRaster graphicsFront and back endsIdentifiabilityComputer animation
Transcript: English(auto-generated)
00:02
So, thanks for attending this talk, we would like to tell you something about the challenges and benefits of using open source spatial in a large marine construction company. And to start off, how do I go to the next slide, just click this? Sorry, I like to stand up. We've got four minutes, so I thought deciding, presenting four slides.
00:21
So, what are the activities of an org, because I don't know if you're familiar with the company, so it would be nice to tell you something about it. Which tools do we use? But then, the most important thing is what are our benefits and what are our challenges, because there are many. So, just a very short introduction about the company. It's a large marine construction company, so we build offshore wind farms, we build harbors,
00:45
we build, on the right hand side you see the Netherlands has a lot of water, but also a lot of barriers to keep the water out, so we construct those. And as you can imagine, it all involves geo information. Sarah and I are working at the GIS team, that's only seven people at the moment,
01:03
and we try to make sure that the company is GIS spatially aware. But before that, there's been a lot of activity around geospatial information. So, I give the word to Sarah to explain to you how we deal with this. Hi, I'm Sarah, and I'm the GIS developer at Vanort.
01:24
And going into which open source tools we use, we get data from all kinds of sources, so some from the survey department identifying dangerous objects,
01:40
and some from the design department engineering, also sensors from the field for projects, and then we usually have to transform and process the data, put it in post GIS, and use GeoServer and QGIS for making it accessible,
02:04
and we also have a solution from Terrestris, which you see a screenshot of, where we visualize the data and make it accessible. So, that's one example.
02:20
What is really great about it is the number of users that we can have, so we have the freedom to really add external and internal users, as many as we want. And we can also use it on vessels.
02:41
What you see also on the right is an example app that we developed for the company, for internal and external users as well, completely using open layers and view front-end framework, and this was to identify climate risk areas,
03:06
and it's used for finding out what are the good locations for starting projects. And yeah, we could customize it as we want, without paying for licenses,
03:21
and when we ran into trouble, of course there was the help of the community, and plenty of things to find online when debugging, so that was great. Yeah, so finally, the challenges, there's many, and I really liked the presentation before on large raster datasets,
03:43
because that's also a challenge we have, so maybe we should have another chat. Because we have a large number of employees, we have 5,000 people worldwide working with this geospatial information, want to have access to this geo-information, and a large number of users, that does stress our infrastructure, because well, how many people want to ask for large datasets at the same time?
04:04
And yeah, that means that we have large quantities of layers, layers are replaced like every day, new designs, new survey data, so we have a really fast, we need really fast tools to process that and make them available again. Many large raster datasets, and well, always a problem,
04:24
we use open source geo preferably, but the world is not only open source geo, so we also challenge with clients that require non-open source data formats, and how do we deal with that? So yeah, if you have any thoughts or comments or willingness to help or ideas,
04:42
just contact us and yeah, we're open for help and suggestions, so thanks for your attention.