Tips for navigating spatial data resources

all right I'm going to go ahead and get started so that we have enough time at the end of um Kevin's presentation for questions and answer and as always these um webinars are recorded so you can access them at a later date but I'd like to thank everybody for coming my name is Kate tman and um I am the new chair of the help I'm an accidental government information library and webinar Series this series is brought to you by the American Library Association government documents round table and as always we really appreciate you joining us um you'll be muted during the webinar but we encourage you to participate in the chat if you don't see a chat window you can click on the chat icon along the bottom of your screen um we also encourage you to add questions via Q&A function throughout the session we'll save them for question time at the end but we encourage them to submit them as you think of them um if there are any technical issues myself and Kelly Wilson are on hand to help so feel free to chat with the hosts if you run into any issues and worst case scenario remember that the session is being recorded so it will be preserved all right um I have a couple upcoming webinars that I just wanted to give you a heads up about um in September we have Federal documents declassification webinar that we're working on with godarts education committee there will be more information about that coming out soon and in October we will have a presentation entitled reporting on the world of government information a panel presentation from the editors of the ifla professional report government information landscape and libraries but for today I'm really excited to um hear from Kevin Dyke um he's going to talk to us about uh navigating spatial data resources so spatial data um including paper and digital Maps as well as GIS data sets are a common product of government information or governmental agencies and as such they frequently find a home in library collections the distinct form factor and subject matter of maps makes them a valuable resource for all kinds of users but at the same time complicat storage and Discovery so this webinar today will explore some Innovative approaches to handling spatial data and making it accessible both in person and online so our speaker today is Kevin Dyke Kevin is maps and spatial data curator at Edmund low library at the Oklahoma State University Library his responsibilities include steing the library's physical map and aerial photo collection managing the digitalization and preservation of the collection and making the collection more accessible and relevant to members of the Oklahoma State University community and public originally trained as a geographer Kevin is also an experienced user and developer of GIS software so with that I'm going to stop sharing and hand it on over to you Kevin thank you very much thank you so much really appreciate the invitation and the chance to be here to speak with you all I'm going to go ahead and share my screen and there we go uh so I really uh yeah thanks so much for having me um it's a real pleasure to be here um so as as Kate mentioned I'm uh at Oklahoma State University and uh so yeah I did a little background and before I came there was a a gentleman named John Phillips who uh stewarded our digital map collection but more uh his his long career was spent in government documents here at OSU and uh he was a a tremendous uh influence and and Mentor in a lot of ways for me when I began this uh role and he's uh he's still uh still a presence in terms of uh working with the maps it's really great and and uh government documents has since been passed into the capable hands of Suzanne Ryman who I know has been an active member of godor for a number of years uh and she's been an incredible help to me throughout uh I still feel like I'm new even though I've now just pasted the seven years since I started here uh time really does fly uh when you're in a basement with a bunch of maps so uh yeah it's really uh it's been a fabulous time um and I know that and this is so just to explain a little bit about the structure of how our library has uh worked previously and how I imagine a lot of if for those of you who work in libraries which I'm just going to assume is a lot of you uh your uh your libraries are are probably um similarly structured U so before I started our Maps our map Library the map room as it's sort of colloquial colloquially known uh was part of government documents um there had been a a a part-time faculty member in charge of the map room U years and years ago back in the the the mid 90s I think basically uh but when that responsibility for faculty went away then it fell under the umbrella of um of government documents and the reason for that is that the the the fairly simple reason is that a lot of the maps in our collection are government documents uh and that's a just something I'll sort of be harping on a lot during this this talk uh and how intertwined uh the roles truly can be so there's I know uh there are plenty of people who have served as Government documents librarian as Maps librarian as both as neither as as as just one or the other but then having responsibility for all the collections so it really uh we we frequently uh share a lot in terms of UH responsibilities but also expertise and so we um it's always a great way to partner up um so uh I I just want to point to one thing is uh our digital map collection this is something that I think uh one of our our signature uh efforts at the at OSU library and this has been uh an ongoing uh project this is something that's been uh for more than 15 years now our digital map collection has been built and the the real Cornerstone of our digital map collection uh comes from the Congressional series Serial Set we have a set of nearly 3,000 Maps uh that have been digitized extensively uh documented and U made available online so you can see here for here's one example and and our focus with these Serial Set maps are that they need to have something to do with Oklahoma Indian Territory as we were as it was previously known uh so here you can see this is a map of the Chickasaw Nation uh in 1900 and so and this came from a uh from the serial set volume uh 4291 and so we've we've went through our our rather extensive uh Congressional Serial Set uh collection either removed the match from those volumes or if they were too small or too brittle uh we left them in but uh digitize them one way or another and that's a way we uh we make those all available uh to everyone um and some of you may also be familiar with the redex uh product Serial Set maps and that's an invaluable tool that allows you to search through the serial set specifically for maps and it breaks it down by volume and makes downloads available so really uh between our collection and then the redex service uh we we off a fairly comprehensive View at the maps that come out of the Congressional Serial Set and that's something uh that uh especially when you get into the 20th and 21st century even uh the they they Contin continue to have value even though they maybe aren't quite as aesthetically appealant as they once were uh so now I'm going to take a little step back uh we're we're not not talking about OSU not talking about my own collection anything like that I want to talk about the notion of spatial data and this is something um that when I first encountered it took me a a little bit to sort of Orient uh my my mind thinking in this way because the just the phrase spatial data that is you think about that and it and it has a I think just because the word data is there it has a sort of analytic or some computery sounding meaning to it but in reality it's sort of a phrase that has has become popular for use of when referring to all variety of things so and and this might just be my own interpretation so obviously this I I welcome anyone who thinks otherwise it's not a problem but thinking about spatial data as an umbrella term and then a number of things coming under it including maths uh and things like that so here is a literal umbrella uh of spatial data and under which you can see we have scanned Maps paper maps and then GIS data uh which itself consists of vector data and raster data and all these are um especially when it comes to a government information uh professional these things are very common uh the sing largest provider of of of geographic data in maybe in the world is the the federal government of the United States and maybe even just the US Geological Survey uh specifically so the fact that we our government information at the federal level is made freely available is just it's hard to overstate the value of that to people who work uh with maps and GIS uh because data uh can be extremely expensive to procure otherwise so um so GIS and this just in case I I I I don't assume familiarity with what GIS is or anything like that I I want to talk just a little bit more about what these terms mean U well for just to kick off something I should have done already uh G GIS uh is an acronym that stands for geographic information system uh and basically all that refers to is is software and Hardware uh but used to be software software and Hardware back in the days when computer hardware had to be sort of customized to uh perform a particular sort of task versus now where we have uh Hardware that can you know handle any sort of software more or less so we're fam have software that allows you to display analyze and manipulate data within some sort of two or 3D dimensional threedimensional or two-dimensional space uh that it's it's as basic as that that's what it comes down to and then when we're talking about types of GIS data so I mentioned vector and raster data so now let's just quickly take a look at what those mean and it's not that the terms vector and raster are exclusive or or contained only to this sort of Maxs and JS world uh vector and R they're common computer Graphics uh ways of of talking so if you've ever used a Doby illustrator um that is a vector art package of software um uh and then so so a vector vector data vectors in general are comprised of either points lines or polygons and you think of it that that's thinking in terms of a zero dimensional shape which is a point where it has neither sort of distance or breadth to it it's just a single point that so that's a Zer D and then onedimensional is a line so you have a start point and an end point and the distance between those but there's no sort of depth or width to it and then the polygons we're getting into two Dimensions where you have length and width um and and you can go uh you can build into three dimensions uh when you introduce uh the z-axis or height obviously but that uh we're going to focus on the 2D uh in terms of how we're describing this so you think about these three sort of fundamental uh ways of representing uh and think about Maps you've seen if you look at um a map of for example of a a University campus you might see uh points on the map indicating where bike racks are located or fire hydrants um and then you might see polygons uh rectangles representing um the the footprint or sort of the uh yeah the the footprint of a particular building so you can see oh that that's where the library is on the campus represented by uh this two dimensional polygon and then lines you can imagine uh streets going from point A to point B uh those would be rep represented as a line now the tricky thing here or maybe not even tricky um an interesting thing to think about with regards to these sort of representations I just talked about is that the way something is represented as Vector data is not fixed in any way really so what do I mean by that yeah if you think about a map of the United States so we're we we're talking showing the entire continental United States uh the way a city is represented on such a map like that probably would be with a point but when you change scale so you know scale meaning how zoomed in or zoomed out you are if you uh zoom in far enough uh say to the northern third of Illinois uh you would not really you would not represent the city of Chicago as a point on such a map as that you would probably represent the city uh using a polygon that would indicate at least roughly um it's its boundaries and so uh think about that at the next time you're browsing uh an interactive map applications such as Google Maps Apple Maps whatever but just as you zoom in and out you can you can see the the vector form of the same place changing in real time in terms of how it's being represented uh it's it's really it's something um I don't know it it's extremely nerdy things but it's something that I've always enjoyed to look at uh and another example is if you look at lines representing streets on a map it'll start out as a line with with just one with just length and no width but you get in far enough uh or if you just have particular needs you will see streets represented as polygons because you need to know in some cases how wide is this actual street because there's a difference between a side street and an interstate uh when it comes to Public Works uh work orders and things of that nature uh so there's there's a shape and and and Method representation for all sorts of things and it's not necessarily the same throughout um even within the same map so then there's raster data and raster data we can think of that's simply representing uh data using rather than points line and pol points lines and polygons it's representing information using a grid of some sort so every photograph every digital photograph you've ever taken you've created a raster image uh any so any jpeg any Tiff anything like that uh those those sorts of image files those are all rasters uh so this is an example of a raster that is a u an are photograph this is showing the Oklahoma State campus I think in 20 let's see 2021 I think um but then so that's an aerial photograph that's something you could imagine as a raster uh here's another one this is also you would classify this as a raster this is a digital elevation model so what that means is that every single cell in the grid so again remember raster is just made up of grids going from top to bottom uh so each cell in the grid has a certain value and in this case that value represents how far above sea level that point is that that cell so in this example you can see uh in in white that's where um elevation is the highest and it goes down to where it's darkest and that's where uh elevation is the lowest so you can see you might be able to see that you can see it sort of run off and stream that works because this is somewhere out in the Rockies I believe that I I I grabbed this little snapshot of but this is the sort of thing so you have a value for everything um you have El there's there's not anywhere on the planet that has a sort of that doesn't have an elevation value if that makes sense uh there are places where uh you're not going to get too off track so then let's see this is one more example of what constitutes a rasure and this is land cover so this is as opposed to to those other two uh forms where one was taken you know from an airplane and then the digital elevation model those are generally created uh using satellite imagery from uh with global coverage this is an example of a classification raster so this each color on this map on this image you're looking at represents a different category of land cover so it might be that the uh I should have written down some of these but you can imagine one being dense Urban one being water one being imp pervious surfaces things like that uh so if you've heard of that there's the national land cover data set um for the United States and that's that's another third example of raster data okay and then you take all these different um points lines polygons rasters so all the vector and raster data you take that and you you you take each of those and they each act as a layer and then you stack them on top of each other and that's how we create our representation of the world because the whole point of the gis is that when you're stacking these layers together they have the same reference points so that they uh they they they overlay on top of one another uh in the correct manner so that uh when you're looking at uh the streets and the land usage they line up correctly and that's really where the power of GIS comes into play because um whereas with traditional map making you would you are sort of once you've decided what you're including and you've included that you are that you are good to go you are stuck with that um which is oftentimes not a problem but in terms of being able to rapidly change uh uh and explore different aspects of a of a particular data set do sorts of exploratory data analysis uh that's something that JIS really excels at because you can introduce different layers and then you can introduce um um sort of uh change the the the way you're representing the different players you can fiddle with all sorts of uh aspects and variables involving all these different layers then there are maps and this is uh I couldn't help uh but put so this so this is a representation of a real of an actual physical map as as we know they do exist and they are still very useful and this is a ribbon map uh this was actually a picture a couple of pictures I took uh this past summer uh during ala in Chicago we did a tour of the Newberry library and they pulled a number of really fascinating maps for us to look at and this was one of them where this this ribbon map of I believe the Mississippi uh and it unrolled the entire length of a really long long table so that it's really fascinating and something that uh you could really you had to see it in person to really believe it or even let alone appreciate it uh then there are U real there are paper maps that have been digitized and so we have these digital surrogates uh for these maps and that's what that so what I've already talked about earlier in terms of our digital map collection that is uh in a lot of ways the most common way people will encounter Maps today so this is an example of a set of maps we have uh in our library uh showing land ownership across the entire state of Oklahoma in 1936 1935 36 uh showing land ownership and land value uh of rural property across the entire state so it's a set of over 2,000 Maps uh it was made originally with the intent of improving tax collection uh because this was during the depression during the Dust Bowl so the government of Oklahoma was desperate to uh sort of uncover potential sources of revenue and so they made these maps with the intent of standardizing how uh how how U land was Valu ated uh because you could look at from one County to another just across the county line with basically the exact same land and there would be drastic differences this was the first time those differences were really systematically explored in any way um so that it's a really a really fascinating collection of maps and it's something that so we've digitized all of them and we've created this so let me show you so this is an example of one of the sheets of maps and this uh is an application we've made where we took every single sheet uh every single one of these Maps so it was broken down by County so each County had any number of sheets uh you know 2030 or in the case of Osage County our largest uh almost 80 sheets we scan them and then we Geor reference them which Geor referencing is the practice by which you take a map or other uh any anything uh and assign coordinates to it so that it can be placed within a GIS in such a way that it fits with everything else so here let me zoom in and so you can see you can zoom in and see see where J ja swart had land that was valued at $1,280 uh at this time and then I something you can do here is you can click that and then click the view and it will take you to the original map so it's some it's a this is a way that we've made it so that for example uh you could put in your home address which I'm not going to put here but you can just do a search and it will show you where you are so for example if you are out of U my house is right around here so I could see that who actually owned the land my house is on now who owned it nearly hundred years ago and this is a these are maps that have been used by um a lot of people doing family uh family history research so uh there are a lot of people whose families have owned Farms across the state um going back uh before this time even but also this is a resource that's being used uh in research uh where u i there's a a re there's one project where uh there they are studying the effect of heterogenous land ownership on the efficacy and distribution of um oil and gas extraction so the fact that their hypothesis is that the more heterogeneous and and sort of split land ownership is the more uh I think that it'll be more difficult to pull uh to pull As Much from the earth which makes sense in a way um so the yeah this is an examp example of how we approach our collection where you take these original Maps these things that tremendous amount of effort went went into making them and they are just so rich with information but you digitize them and you make projects and and and and workflows that make it possible to uh bring them to a broader audience which I think is just always um an important uh way to go and uh super and kind of fun too so then uh one more is uh sort of born digital Maps uh and this is something uh maps that have not really been printed and this is some this is a a US topo map right here uh and so any map published by USGS since 2007 I believe uh has has not had an official printing it's something that you you it's all digitally made and you can order a print made of it but it's not a first edition second edition sort of thing it's something that's constantly sort of being updated and something you can uh you can download and access and that's something I want to talk about in just a little bit so yeah I've already alluded to it a few times here but we have um a few agencies that really just produce um have have contributed so much value so much legitimately so much money to uh the development of of GIS and mming as a as an industry uh and that couldn't wouldn't be possible without USGS Census Bureau and the Bureau of Land Management I just want to talk a little bit about each of those because they are just so omnipresent and important not just in government documents but uh to all of us in in in academic map and Library maps and uh and libraries in general uh so yeah USGS they're the ones you blame for all the topographic maps that are filling up uh potentially hundreds of drawers in your map library or in your documents uh library but I'm kidding of course uh but the USGS is a truly they do fabulous work they produce so much uh uh so much information so much value added products they they have something called the national map which allows you to download uh you can see here's toppo Builder this is what I was talking about so you use the national map and toppo Builder that's how you can construct a map like that one I mentioned that too where it's not an official uh publication but it's all this data you you sort of put together to make a official topographic map so yeah USGS Publications they are a Theon share of many M collection uh just the topographic collection alone uh is tens of thousands of of maps and this is something that a lot of places have have have targeted for either weeding or even just simply moving off site but in one way or another making space and it's something that I do not want to um dissuade people from doing because honestly it is one of the lowest risk and highest reward uh decisions to make uh because like I said the the especially the the 24,000 scale which are the the largest scale Maps more the most common large scale maps that USGS produced over time and they can just take up a whole lot of space I I believe we have about 4,000 just for the state of Oklahoma alone in our collection and that adds up in terms of storage space um and one reason that I would uh encourage you all to maybe if you're if you're hard up space and you need to come up with some names or some uh some ways to create more space uh consider the US toos and uh USGS toos and one of the reasons is the existence of this web app called Topo View and let me just uh give you a quick view of that so this uh application allows you I'm going just just going to zoom in to I'm a very provincial person I like to stick with where I am so you can zoom in to wherever you're interested in you can you simply click on it and then you'll see over here we have all of these Maps so let me zoom out and you can see we can up here you can filter it by date so we can go for much more more recent ones you can move it all the way back and we could see Still Water the 1893 sheet and you can see you can download in any number of ways here so really and so there you can see this is the first topographic map uh of of of Still Water where it was simply just black and white you can see all these contour lines here indicating that elevation but you can also see um a little bit of the town being built up there so it's really um and it's as easy as that so honestly um I frequently refer people to USGS too Maps it's something that I yeah they are a very important resource and something I I I mention a lot when I sort of had people asking me questions or looking for something but more than nine times out of 10 maybe 49 times out of 50 I will simply go to tobo view and show them what's available um and something people like to have copies and this is something where on with Topo view they can download a high quality image and get it printed from a print shop but also USGS has a store for purchasing and ordering prints of of their topographic maps and that's something uh that I've I've referred a number of people to so really it's a a fantastic uh resource uh I so in terms of weeding just I'll go a little bit more on that you for for example I have topographic maps in our collection covering every single state in the country and that's something that I do not necessarily need in my collection uh I am dedicated to collecting materials related to Oklahoma and Indian Territory obviously but also uh adjoining adjacent States so sort of like Texas uh in Missouri Arkansas Kansas Etc um but for your own depending on your own sort of collection development policy uh you probably don't need uh thousands of topographic maps for a state uh all the way across the country uh there's no worries about uh about discarding original or anything like that it's it's just not a problem you're going to have uh as if you're part of of the depository program you reive them that way you'll obviously need to go through your own the proper withdrawal proced procedures if you are indeed looking to withdraw them but even just moving to off-site storage uh is a really quick way to to get a whole lot of space back um and that's thanks to Topo View and and the great work done by USGS then there's also Earth Explorer I'm not g going to jump over there but that is a great resource for anyone um I use it for patrons who are looking for remote sensing data so remote sensing data is typically that's raster data like we're talking about so aerial photography satellite imagery all those sorts of things if it was produced by not only the USGS but uh other agencies as well you can find it through Earth Explorer it's a really robust uh interface and a lot of you can anything that's not scanned you you can also you can still find uh these images even if they haven't been scanned yet and if you really need them you can pay uh to expedite the scan sort of bump them up to the top of the line but a lot of what they have has been scanned and is available at Full Resolution already so that's something I rely on heavily uh when I'm helping people and so um yeah I'm sure everyone is familiar with data.gov um and I'm not sure what the consensus is among you all but I've always struggled to navigate data that go just because it is so huge it's just a vast uh a vast array of of data sources coming in at all sorts of scale so you have like mun municipalities contributing data all the way up to all the federal agencies uh and you you may have noticed on data.gov that there's a checkbox between Geographic and non-geographic and I think that's pretty telling that that's like a way to cut the catalog in half basically is to say I'm I'm looking for a geographic Focus here uh I just think that's and and really a statement on how prevalent it is in U public federal state local data U place and space matter I guess is the way to think about it I'm going wrong way there we go sensus data is a uh I just love this logo for uh tiger files it's classic U and I cannot say the acronym for what tiger STS were off the top of my head I know it's top topologically integrated Geographic entity oh see I shouldn't have even tried but the US Census we're I'm sure everyone's familiar with uh census tables uh and and things like that there's the whole other side of census data is geographic so GIS data so how do we where are the boundaries of this particular census tract where uh how do we what are what what is the Metropolitan uh area uh outline for uh Washington DC how do we how is that determined and then how do you take this geographic information and how do you how do you join that together with uh the demographic tabular information so that's um anyone who's tried it who's who's gone through that effort it's it's not a uh trivial thing to undertake uh and that's something that um I really encourage the use of the National Historic uh GIS which is a product out of the University of Minnesota uh disclaimer I was a research assistant when I was in grad school on na GIS uh but they have done such a fabulous job of making it easy to search every sensus going back to 1790 and finding the tables with the uh demograph with with whatever uh you're interested in in in binding and then getting the appropriate GI uh uh Geographic level uh data files and then very clear instructions about how to join those together um and I cannot recommend it enough and then Bureau of Land Management uh I'm sure some of you are familiar with the public land survey uh this is something we frequently encounter in my work is how do we decipher these things where we're talking about the Northeast quarter of the 14th section of the second of the Township to South for Range four East it gets this and and for anyone who's not familiar that the public land survey is how when the sort of Western 2third of the United States were um uh when when when settlers uh moved that way white settlers moved that way uh the way the land was uh classified an inventory was using the public land survey where you have a principal Meridian which is determined uh by surveyors and then these very neat grids or relatively neat grids were created where you have a a Township which is six miles by Six Miles Square and then you break up each of those into sections where each section is one mile by one mile Square so you have 36 sections per pound ship and then you describe the land using once you get into a certain section you can describe it as s of for example the Northeast quarter of the section that's that one and you can break that down more by saying the southeast quarter of the southeast quarter so that's this tiny one right here and so it can get really really really small as land became subdivided further and further and further over time and I mentioned that because a frequent thing I like to use um is uh are the general land office records and this is a a great resource again for people researching land history family history you can find the original patents for land uh you can see uh actual maps that were drawn out in the field by the surveyors of Performing the public plan survey and uh a really valuable resource that I encourage you to to uh use in combination with all of your own other knowledge that you bring to your um patrons and so I really um that's all I wanted to say for now I think I I'd love to answer any questions that you all might have I do I have one uh one reference here from a past webinar I think it was about a webinar 10 years ago but there's a a handout included here that has a ton of reading uh if you find yourself working with maps or in charge of maps and you have questions about how to handle those maps and and just the real uh nitty-gritty of dealing with maps uh check that out uh in particular uh a map librarianship uh book by Mary larsgaard is invaluable I uh as someone who came into this position without experience in collection management and just anything to do with handling Maps it it it saves me a number times and I recommend it really highly uh so yeah with that I I will I'm going to wrap things up and I would love to hear any questions you might have thank you Kevin this was great um and I welcome any chats you can also raise your hand and I believe we can allow you to speak um if you do raise your hand and then you can ask a question um and to have that up and ready Kevin can you tell me while people think of questions um I'm thinking back to um the digital project that you talked about at the beginning of your presentation the serial set maps that you um digitize could you talk a little bit more about like some of the nitty-gritty details of that project like how did you uh did you I imagine use an index or you may have used redex to find the maps that you wanted um to digitize and how did you actually go about doing it was it um something that you did in house um did you have a dedicated set of like staff members to do this or did you um how did the how did you like fund it you know some of those little details about that project would be really helpful to me because I'm trying to think of um we did a Serial Set map project at the University of Colorado Boulder um and the one thing we didn't do was um any digitization work we just kind of preserved and isolated the maps but I think that would be a natural Next Step but understanding some of the issues or barriers that might come up in that process would be helpful too yeah that's a that's a really great question and um so we did all of the work for the serial set project inhouse um everything preservation location digitization uh repair all that stuff and it was honestly done a Hu basically all the work was done by students uh some really dedicated student employees and this was under the under the leadership of Suzanne Ryman uh John Phillips uh especially John Phillips towards U uh in his the last few years he was working he he really focused on the digital map collection and I know we started um the early chunk of the serial set uh we relied on an existing index I think it was created I want to say by someone at KU I cannot remember her name but I know that was an invaluable resource uh uh in the search but then we we when we reached the point that we had ex gone beyond the time frame of that index that was when things slowed down quite a bit and basically it was a function of of John Phillips leafing through volumes and using using the redex index but not totally relying or or uh not maybe fully trusting anyone else to go through each of these volumes and flagging relevant maps and then taking those to our students in same GE we need this removed we need need this repaired we need this encapsulated in myar uh and then uh from that taking uh preparing metadata for those that's another a a great uh pastime of of John's was taking taking maps and and creating the most uh the most detailed metadata you've ever seen uh for these collections so truly uh he he did an incredible amount of work on these uh and since I've been here we it's it's mainly been a focus of how can we sort of massage this metadata how can we shape it and sort of form it and then I oh yeah I should also mention in terms of funding we've been really generously funded by a uh a private Foundation in Oklahoma called the McCaslin Foundation they are a big benefactors of of universities and libraries across the state of Oklahoma in particular uh but they um they gave us several grants to uh pursue uh this uh Serial Set map work and that's uh that's how we were able to get this done because otherwise U yeah the amount of student time was hundreds and hundreds of hours but yeah that's about do you have an estimate of how long it actually took oh um well I know we had H this the last Grant we had was a was about two and a half or three years sort of start to finish so I think maybe the actual Grant project was two years and that was to cover basically from the end of the the long 19th century so somewhere around maybe World War I up through the present in terms of maps of Oklahoma and the serial set which Maps just in general the the presence of map in the serial set does decline over time during the 20th Cent I think just because as other sources have sort of taken off especially once you get into like the 50s 60s 70s in particular things start to um it becomes way less common so we covered a lot more ground in terms of like we were able to quickly get through those because the previous uh 150 years because we included the American state papers of going back in a pre pre-serial set um that took I think the initial grant for that may have been 2006 and and was ongoing for at least the the nine years before I got here and then we were continuing on so a very very long-term project thank you any other questions I have others but I want to let others ask too I just put my email in the chat uh in case anyone just wants to get in touch uh offline here um and I I encourage any of you if you aren't a member of murt uh I know there there is a lot of crossover between mcgurt and godart um and um I I encourage anyone who has responsibilities or just interest in maps to consider joining there's also the Western Association of map libraries which is outside of ala but it's all it's a fantastic group of of map map Associated professionals and I know we have several go doc folks who are a member of WHL uh and so that's another place where you can talk to people much more uh knowledgeable than me and and learn and ask questions and all that sort of stuff all right okay well I'll call it there so thank you so much Kevin this is really helpful I have ample notes I'm going to be following up with you um in the future I'm sure um I'm also kind of poking around Earth Explorer here enjoying myself so um I am going to share my screen really quick so that I can offer everybody um the following QR code so we are soliciting feedback on our presentations and the webinar in general so please um scan this QR code to provide feedback um you can see all of our great webinars on YouTube uh there's a bitly go Dort help YouTube is the link for for that if you would like to see any specific programs coming up please contact me um and if you are interested in joining me as a member of the godor help committee I would be happy to have you as an incoming chair um it's great work to have I had a lot of fun doing it last year I'm really enjoying myself this year it's nice to have this excuse to really sit down on a monthly basis and learn something um and really engage with colleagues across the country so please do um let me know if you would like to volunteer to work with me and uh thank you very much Kevin um and everybody for attending have a great day great thank you