 Good to go. Good to go. All right. Welcome everyone to this webinar, Locational Data. That's what we're going to be talking about today. We have Greg Lachlan. Hello Greg. Hello Adrian. Here is a principal... What are you reviewing? I was a senior principal scientist in the spatial modelling and director of Geography at the ABS. And my first job was a lecturer in Geography at the ANU. Okay. I forgot to tell you about that one. Probably in this... One of these buildings close to here I mean. It's been the old office of... Who's sitting next to me? Professor Hutchinson. We also have Ben here today. Ben Greenwood. Hi Ben. Hi Greg. This is the technical lead of the ANS development team. So we're going to be talking about two aspects of Locational Data today. That's the developments in the Australian Gazetteer. As well as some complementary developments happening in the ANS software. That's why we've got Greg and Ben here today. I don't think you've introduced yourself, have you? Adrian Burton. Hi. I'm Adrian. I'm one of the directors in ANS. And I'm really just here to talk to you about... We have to mouse that through. Yes. We'll be talking about a few things. I'll be just talking about the data connections about why data that is connected is more valuable. Greg, we'll talk to you about the... Generally about Geospatial and in particular about the Gazetteer. Ben will follow that up with what's happening in Research Star of Australia and then we'll talk about some new directions into the future. All right. The premise of why is ANS interested in Geospatial or why are we promoting and supporting? It's part of the adding value to data. Part of what ANS is... The ANS mission is to support moves, general public policy moves to elevate the data that sits behind research to be a primary output of research, to be one of the shared objects. And really that is to create better science so that it can be integrated into new data. We can test, verify the scientific and other research claims based on the data and that the data itself is more available and more reusable. That's not just enough to really have it... Just having data... Data being there by itself is not really enough. It needs to be useful and it needs to be valuable. One of the values is when you can connect that data to other data. So data itself increases in value and it can be integrated without the data or discoverable with another set of data. So really ANS is interested in making data more valuable and you will buy the connections with other data. Now what are the basis of those connections? The basis of those connections are common attributes or common concepts. One very common concept to lots of things is the location. Lots of things happen... Well, most things happen somewhere and lots of data reflect the fact that this observation happened here or happened in this region. So place itself is a common cross-cutting concept across data. Time as well, things happen at a particular time and can be of research interest just knowing which data was collected at what time. The projects that the data is related to is another cross-cutting thing that says this data was part of another project and therefore we can infer things from it. The people involved are also another connecting point the field of the research itself and maybe it's just a particular scientific concept like salinity. So if that salinity is expressed in a common standard way then again we can discover data that is about salinity and we can integrate two observations about salinity. So it's from a very broad view that there's lots of things, there's lots of very fundamental concepts that we're interested in promoting standard ways and easier ways of manipulating those concepts in data. The two scenarios we're really looking at here is how could I find things and see whether I want to use it in my research or second one being if I find it how could I integrate this with other data. So location is one of those key concepts that say how could I find everything in all the data about Calguli or about a particular plot that I'm investigating. And the second thing would be having got that how can I integrate two data sets using the fact that they have a shared value of location or some other shared concept. So in order to do that at sort of large scales then there are standards and encoding standards and we'll learn a little bit more about that here. But the basis, the why we're interested in is this idea that we can make our data more valuable by having these connection points and having those connection points encoded in common standard ways to talk about the Australian research data commons. In order to have a commons there needs to be some common values I suppose and values in both senses. So in my data if I'm talking about salinity or location and you're talking about salinity and location in your data what encoding, what systems, what tools can make it easier to make those connections. So in general we're interested in those connections and making that easier. So that's why we and had a partnership with both Geosciences Australia and the Department of Resources, Energy and Tourism to try and make it easier for researchers to include location information in their data and that project was the against here of Australia. So Greg will be talking to us about that even before we get there Greg is just going to give us a little bit of a basic tutorial on some of the concepts involved in geospatial data. Great. Can I just use the space bar? Thanks Adrian. What we'll screen now hopefully is the Geospatial page from Ann so just Google Ann's Geospatial and you can have a look. There's a bit of a pun there, where is geospatial? By that I meant where is it on our website so some of the things we're talking about today are in here. Now before we get to the gazetteer the machine component of the gazetteer has a long URL and it's too long to write down I think. So we will undertake to put that URL up on this on the website under geospatial so get that out of the way now. I've only got two slides here so I'll probably talk a little bit around some of these points. Now the first point might sound a bit twee loosely means mappable but there's more to that than might appear. Something in statistics something that is mappable means it's continuous in space or smooth in space or for the statisticians in the audience it's spatially auto-correlated. Now I'll give you an example of that. Elevation is mappable because a process is operated on it over millions of years to smooth things out. So unless you're in limestone country an elevation at one point on the Earth's surface is going to be correlated to a point close to it. In other words, it's essentially a smooth and continuous thing. So let's think of something that will be easy to map temperature because it's a fluid or occupies is a characteristic of a fluid abrupt boundaries smooth themselves out so temperature is an easy one salinity, elevation all those sorts of variables that are continuous but let's think of one or an example that is the opposite. If we were to take a photograph an aerial photograph of cars in a car park I would say that for most unless something unusual is going on like a parade the correlation between colours of those cars will be essentially zero so they're not mappable in a normal sense so you couldn't really map the colours of cars in a car park. There is no reason to expect a black car next to a black car and so on. So the first point I hope we've dealt with that reasonably well it means that it is extensive in space and things that are close to each other are correlated all have similar values. Now a second odd point which comes a bit easier then ok so what does geospatial mean it means it's mappable things that logically have coordinates like a trick point which is those little black circles you see on cans on the top of mountains street addresses anyone who's got a smart phone knows all about that your current location so anything that has a coordinate and these days the coordinates are usually given in terms of latitude and longitude and there is a standard datum which is actually the centre of the earth these days. Now it's not just points that we're interested in when we talk geospatial we're also interested in things that have boundaries and you can think of dozens of things suburbs, catchments just all manner of social economic environmental things things that can be expressed through post codes there is a long list of those sorts of things but here are a couple that may not come to mind immediately things that are represented by pixels now I'm thinking here of imagery out of planes imagery out of satellites remote sensing and in a few moments I'm going to show you that in modern geographic information systems which is the technology that sits under geospatial there is the power now to drape an image over for instance a map of the earth and have that image fit very precisely it's a very well developed science I suppose or technology might be better and then finally things that are represented by lines so for instance a paddock if you're thinking in an agricultural sense a paddock it could be represented by a boundary it could be represented by a pixel it could be represented by a line only in the sense if that line is actually joined up to make a boundary so I'm thinking here lines as linear features like drainage and streets or for the fat matter the edges of a building so basically you have points I'm now going back to dot point 2 we have points, we have polygons we have pixels and polylines they're the four things that make up geospatial so think of a polyline if you think of a braided stream a stream which has lots of little contributories to it they're the things that could only be represented by lines now moving on increasingly these examples I've given so far really relate to the physical sciences largely but increasingly social, economic and environmental data and government data as well are being collected and generated with one or more of these dimensions and I refer to the dimensions as these attributes and you'll see that the Australian Bureau of Statistics now is no longer coding its social and economic stats to local government areas which change all the time by the way they code them to little stable blocks called mesh blocks whereby aggregating those mesh blocks you can essentially reproduce any shape you like therefore you can effectively effectively cookie cut statistics to any shape that you have in mind now you couldn't do that five years ago increasingly technology is enabling these dimensions to be put together and by put together I really do mean integrated I'm going to give you an example it's a very brief one in a moment where an analysis can be performed by and between layers and if those layers are social, economic, environmental in other words fundamentally different kinds of data this is potentially a very powerful area of research now the example I've given here is from the physical sciences again I apologise for that but that's what I am a satellite image of land cover draped perfectly on a map of geology imagine that you would expect the land cover the vegetation and all the rest of the things that are on the land you would expect them to show some sort of correlation with the soil and rock that sits beneath that these days it is possible to drape an image all kinds of images over all kinds of base maps in just one or two steps the other example which is the one I am going to give is statistics on health versus income they can now also be represented on the same surface now this image here is an example more or less of the cutting edge of geospatial this is a real time image in the middle if I can just get this little mouse to do something let's move a bit of impediment here hopefully you can see now this is actually a top view or a plane view of a boat that is a boat so I've labelled that that I say here the boat is moving in real time but in reality everything around the boat that is moving the boat is stationed on the screen and I don't know what happened there but none the less we are back so in fact the world moves past the boat in exactly the same fashion as if you looked outside of the boat now you also have you can see there the blue is water the yellow and green is land so that is in this case what a base map is so you can see there is some sort of channel marker here this is water it's going somewhere in this case it's going out to Jervis Bay but what we have here in red is actually a digital broadband radar image in real time so it is confirming that the shoreline is indeed there and there it's confirming that the shoreline is very accurately represented but it's also showing you a number of features here that aren't on the map so they are likely to be boats things like that so here we have an example of topography which is in this case electronic charts I'm showing you this because hopefully it shows you the sorts of things that are possible this is real time, the next example is not so we have remotely sensed things that are in red that aren't on the map they are boats, moorings, kayaks and they are perfectly overlaid when this boat sneaks around the creek here the radar will bounce off this starboard marker here and show it whether it's in the right place or not and if it's in the wrong place according to the map then the radar image will be over here and that is where the actual marker will be the accuracy of this system is better than 2 meters there's an example of a real time geospatial system here's another example which might be more germane to researchers here's an example I found we have the state of Maine here and you see three different kinds of data being represented here in this analysis we have a population divided by area the area is derived by these statistical boundaries if you can see the mouse and hopefully I'm not going over the top with its movement these are the equivalent of our suburb boundaries although they are very large suburbs counties if you will and the number of counts in the census has been divided by the area to give you a population density and to make this realistic in other words to provide context we have the ocean we have lakes and all other things now if you see at the left hand side of the screen in orange there is nothing now to stop us adding roads, income transport models now I say transport models it is now possible with modern GIS that's geographic information systems software to do analysis between layers and across layers and within layers so you could do analysis about what is the relationship for instance between income health and population density there is virtually no limit and as Adrian said at the top of this webinar there are models now that are very well developed and in the spatial industry and geospatial industry the models are very well developed so that if you bring in a data set that is compatible it will fit, it will know where it exists in the real world and you will be able to do analysis and operations on it so in other words if we were to put towns on this map of Maine the towns would know where they are and they would know their populations relative to this other source of population data which was actually aggregated to these county boundaries so there is an example hopefully closer to the research sector now I am going to just give two very brief examples of the Gazetteer of Australia and we are well ahead of time so I will digress for a minute when I was director of geography at the Australian Bureau of Statistics the Gazetteer was just a great long paper list of official place names in the country of which there are about 310,000 plus there is of course alternative names it adds up to about 600,000 trees in that database I think that is right so over a period of years and with the involvement of Geoscience Australia, Office of Spatial Policy and CSRO I need to mention we took it from a essentially a paper based product and produced a web product which you see here now that first URL I think you can write that one down it is fully operational now and I will show you a couple of examples the second one is a little bit too much to write down but we will put that up on the ANDS website if it is not already there so what we have done and what I am going to show you now is an electronic interface it is a web interface it has basic map type functionality not quite the sort we saw in the last two examples but it is a big step forward from where it was a few years ago just a great long list which you had to pay significant money to get I might add so now next two slides and there are only two I am going to just show you two of the typical uses these are very basic uses there is the Gazetteer of Australia 2 that is what we are going to call it it has a map interface as you can see very much like a Google map interface it has open street maps now all I have done here is enter the name and basically you enter a name in here I have not defined a feature type feature types are things like coasts, tree points bays homesteads urban areas so I have not done that I have just entered the word orange in there and up it has brought all of the returns or should I say the first 50 returns there are as you can see 111 results and I think for most people if we are thinking entry level that is how it is going to be used when you hover your mouse over this orange creek here which is a homestead it is equivalent we will be highlighted over here and vice versa you can download them you can save them and over in this box here I am trying to keep the mouse movements down a bit you can find a little bit more about orange creek you can save this all you can sort it you can do all those basic things and as you can see it is covered with a CC by license the next slide which is my last slide shows a different kind of query in this one I have actually entered a feature type and here I have entered airport as you can see and I have restricted the geography so I have done two things in one operation you could do all of Australia all I did was draw a box and enter the feature type as you can see it is called a polygon search that is a polygon over there and it is brought up all of the airports that are inside that polygon and again you can download them as a comma separated variable file so on of course the metadata comes with them oh yes there is one other thing just before coming into this presentation apart from sharing a few gags which we did not know were going to air I got an email from the consultant Lucas Foxton and in that email he is outlining some possible future developments and improvements of the Gazetteer which will involve CSIRO the people in Siro doing Gazetteer work the SIWS people Geoscience Australia and the Office of Spatial Policy and although it would not be right for me to talk about those plans there are some pretty sort of heady looking things that might be done with this software to integrate it with other efforts around the world and to make it available for further development so again as those things happen we will let you know a little bit more about that over to Research Data Australia and the impact of spatial and geospatial metadata Research Data Australia I am sure most of the people in the audience are familiar with as a portal for Australian researchers to discover data and the connections which Adrian was leading to earlier in terms of how Geospatial is used in Research Data Australia we have a big emphasis on discovery and being able to discover something based on where it is in the world is a very natural way for people to browse Research Data Australia I think has 75,000 records in it at the moment probably a little more than that and so finding efficient ways to look for data that is interesting to you as a researcher or being able to browse is very important so doing that based on where the data is collected, if it is a collection where the data is based or housed is a very natural thing for people to do furthermore adding to the aspects of discovery once you are looking at a collection for example I have got an example on the slide on the right there of population genetics in the Indian Ocean and Western Pacific Ocean now that is a pretty sizable area of the Earth's surface and so based on that alone you might not know the applicability of that data set to something that you are interested in as you can see the record has been encoded with quite rich metadata there as to where the data was collected I think is what that is displaying the coverage and that would give you a lot more precise and a more natural way to view where that might be on top of that how we get that information into research that Australia at the moment is through our providers most of whom are providing it through an automated process exposing records that they have on their site but what we have considered is how easy it is for those providers to actually capture or enrich their records with that data at the moment of our collections I think about 65% will have some form of locational spatial information describing where the record is or what its coverage is but we are obviously looking for ways to enrich that and increase that proportion and as part of that initiative we will be releasing fairly shortly I think early next week the ANS location capture widget effectively it's a very small snippet of software that allows you to provide a very rich interface to capture spatial information and I think if I can pull it across we can have a quick look see if that's going to work that looks good effectively if I pull up the demo it's probably a better idea this tool allows as Greg was discussing the concept of placing a point or a marker on the map and immediately in one click you've captured that information in a sort of machine format of a way similarly to draw a region or an area this is more than one click but we very quickly captured that area in light of the availability of the Gazetteer of Australia which this label needs to be changed to you can also search for places so for example I can probably see Mount Ainsley from here in Canberra and we'll come up with Mount Ainsley Australian Capital Territory and in two clicks again we've captured that information similarly to complement the Gazetteer we've got Google Maps integration Google has an idea of where you'd think Sydney is I think it's just a big square on the CBD so that may not be as necessarily as rich a quality as what's coming out of the Gazetteer but it does give a fallback and a separate option there'll be in terms of the Gazetteer's results we're just doing keyword searches here if you require more a better way to drill down through it and suggest using the interface that Greg discussed earlier this is really a lightweight very quick way of being able to integrate it so effectively to create this form which is just an example of a use case we've pasted three lines of code and that's generated the form and I know we don't necessarily have a technical audience but any person basic web development knowledge will be able to implement this into a form very quickly and easily so that form would typically be a part of the deposit workflow into an archive absolutely and it's very flexible any aside from having to be web based any application workflow would be able to add that and capture that information at a librarian level actually enriching it based on some hard copy information or whether it's part of an application that a researcher is actually using and they can capture in real time where their observations might be and whatnot the limitations I suppose are we're looking in two dimensions we're working on Google Maps which is obviously just a cross-section of what you can be doing with geospatial information in terms of other things happening at ANDS with Spatial we've had a bit of a review of the way that we do search and discovery and we've had a good look at the algorithms and the search capabilities that we have they have been tweaked in light of various input both from within and outside of ANDS we're expecting that it'll provide a much richer set of results so when you're searching for a certain region things that are most applicable to that region might come up first and further down you might get things that are only vaguely related and that's come about as in light of some of the new capabilities of the Gazetteer and also just some algorithmic adjustments would it be wise to go back and see what the Gazetteer would have brought back to Sydney? I think it's going to get a lot of use so what we've tried to do so let's do that search for Sydney again we will get heaps of results we've obviously got a a lot more limited interface here, it's lightweight but they will give you I think in order of suburbs, city areas and move down to I'm sure there will be Sydney different Sydney's all scattered around the country there might be points in a random sort of area, we've tried to leave those suppressed down to the bottom and give you what we can infer might be the most accurate one so can you click on one of those and get something? which is a lot richer than if you were to just type Sydney and get the Google box which covers the entire region got a question on the screen over there just wondering if the Google choice on the widget would enable selection of international as well as Australian locations so yes, we're using the Google Maps API so if we look for Budapest, Hungary we'll similarly get that ability you wouldn't have that level of parity I suppose the Australian Gazetteer is going to give you much more accurate and richer results within Australia but that's why we've left it in there as a fallback you can call it a fallback or additional functionality if you want but the ability to capture international results and that's simply a query against the Google Maps API and the data quality will be based on how Google is capturing that Greg, a question on international activities to federate Gazetteers would you like to make a comment on that? the short answer I think Sam asked that one Sam Searle, the answer is yes now I haven't got any details from Lucas Foxton there are just a whole bunch of things that are being facilitated by the focus of spatial policy I think there's a couple of things I know the discussions have taken place with the custodians of the data sets which are the various state mapping authorities to use the Gazetteer transactionally in other words to use it to update the Gazetteer in real time and that I understand is going well there's talk already about integrating the marine Gazetteer into it and beyond that all I saw was from Lucas and I know he's probably listening and probably wondering what I'm going to say next and so am I but there's efforts to integrate it with the United Nations Spatial Data infrastructure projects all around the world that's probably all I can say about that at the moment so the question was what initiatives are afoot to integrate this into other international Gazetteer work the first thing is it was designed to do this because the part of the specification for the project was that it would be based on the current open standards and the supported international standards organizations the ISO standards that are out there and that are supported by the United Nations and other international mapping groups so we have I think it's probably I can be corrected but it's the only instance of a working Gazetteer that is fully compliant to those international standards they've only been they were finalized and invented as we were doing the project I remember that the specification came three quarters of the way through the project and we were madly scurrying in fact we extended the project in order to enable that so from the design point of view it has been designed for this and obviously you'd want to have it integrating into our next door neighbors so New Zealand and Mauritius or whoever the other close neighbors of Australia might be and obviously into the global view and Mauritius Iro have already got some research and implementation initiatives for that global standard of Gazetteers and for the integration based upon that global standard I see a question here from my friend Paul Tellersley it says it looks like each feature in the Gazetteer is a point as an interrally and entries like the Coral Sea to have a shape file or polygon associated with it yes Paul that's one of the things that I did fail to mention is that in the email from Lucas there was proposed high level integration with the Australian standard not ASDD Australian Spatial Data Directory and so yes of course there is nothing in the system that limits it to points the only reason that's the case now is that ASDD Australians simply have those points there we will add but all kinds of polygon boundaries will be added to that I expect in the future Paul just to be clear here this video is one of these it's an infrastructure project from Anne's and had the choice of inventing just doing a Gazetteer if we wanted it was not the route that we took it was a partnership with these long lived mapping and geoscience agencies who's part of their charter to do these things so we partnered with them to create or extend their infrastructure facilities in such a way that would be optimised for research so this really is designed for research groups to be able to use the machine to machine interfaces into this Gazetteer to really ramp up the capabilities of their own GIS research tools and for example the widget thing that Ben showed us so we've partnered with with these long lived Australian government agencies in order that this be a part of the Australian infrastructure and optimised if you like for the research infrastructure the only thing there is that they're both Commonwealth agencies of course the information from this comes from states so behind all this the sustainability the ownership of it is owned by a few high level committees the Committee for Geo Names of Australia something like that yes the CGNA are the group of stakeholders that own and maintain the base location information and in partnership with the Commonwealth make it available through this tool the Intergovernmental Committee on Surveying and Mapping is the other unit I wonder if there's sufficient interest in the audience on its extension further development I see that Lucas Stockston is there I wonder whether Lucas would like to elaborate on this we can hear from Lucas are you happy to do that Lucas do you think it's a mutus perhaps? I agree ok and look thank you for that email I wonder if you just run with this Lucas a bit further and maybe go back to Paul's question about polygons because in my part I talked about the different kinds of spatial data and I know all around the country people are interested in polygons and rastas and vector layers all sorts of things so do you want to say a bit about that please Lucas sure before I do I should actually also mention I was involved with this only at the very tail end in terms of doing some minor redevelopment and then the implementation of the solution Barit Standerthal who's also in the audience today our project managed the initiative so I'd also welcome Comet Trimmerith he feels it like that at the moment we're in a discussion with a number of parties most of them from within Syro around potential future development to the Australian Gazetteer but also potential future integration of the Australian Gazetteer not only with Indonesian Gazetteer but also into the UN-SDI Gazetteer framework so we can align with that particular framework and then integrate our Gazetteer into other world Gazetteers that are coming online that's going to actually provide an official not only national capability but global capability in that space so that's sort of the general discussion that's happening at the moment and don't quote me on any of this but it's looking very favourable and within the scope of an initiative that I'm currently approaching around what you mentioned in the Australian Spatial Data Directory which is really a spatial method art catalog if you like the Gazetteer in essence is a spatial data set that can be referenced by BASDD there is a potential scope for undertaking the next round of enhancement essentially upgrading and enhancing and drawing upon additional capability that's been built into the underpinning open source products of the Gazetteer which is a product called Geo Server but also together with that drawing upon advancements that subsequently happen with especially the Open Geospatial Consortium there's a whole OGC set of standards that's relevant to the Gazetteer and there's three in particular that are the greatest relevance and actually the greatest utility in what we're doing and Ben's certainly drawn on one of those that one is called Web Feature Services or WFS there's another one called Web Map Services WMS and one called Web Coverage Services or WCS and in the latest versions of those standards it actually offers a lot more additional functionality than what the current version of Geo Server offers upon which the current version of the Australian Gazetteer is predicated so I'm hoping to be able to draw upon that at a point in the near future I'm talking about things that actually Adrian mentioned in his first slide so for example WMS Web Map Services in its current version which is 1.3.0 now not only enables us to plot points within two dimensional space but also to plot polygons in two dimensional space but actually also in three dimensional space so now we can specify elevation as well as two dimensional qualities in terms of plotting places or locations but even beyond that or dimensionally so doing it plotting points not only two dimensional on a map and also in terms of specific layers of elevation but also different points across time so an example of that might be somebody might be interested for example in ozone concentration at different elevations at a particular point in space to say over Sydney Airport to take an example may they be interested in understanding that at a point time equals x that may also be interested in understanding that at a point t equals x plus whatever or at multiple points in the future so we're hoping that into the future we can actually build lots of two dimensional capabilities but actually four dimensional capabilities that includes consideration of elevation both positive and negative and also time so that's one example of what we're looking to do but there's at the moment we're actually dreaming big there's so much possibility of the sounds before us and of course as always we need to to address those things that are a priority for the community first and foremost and then and certainly look at the short term and then work out what we approach aspiration because on that point okay look thank you very much Lucas that was terrific I wonder Moditz do you have anything you'd like to add to that? No thank you very much that was very welcome and but I can say that having not seen what was done with the visitors I'm also very very interested in the utility but also the useability of the demos that we've shown and thanks Moditz good I think we don't have any more questions on the guest here so we might move on is that right? Two quick questions Sam Sehls mentioned possible confusion in the naming of the of the tool and I'll take that as definitely as a comment in the ANS RIFCS schema we have a concept of coverage and location as separate attributes of a data record and calling it one and not the other we'll have discussion I think probably a little bit later today and now that one down before we put it out to release next week the second question is from our colleagues in Canberra is the widget available to researchers to set their own boundaries or is it for the data centre admins that once the data set has been deposited to a repository I think with respect to that it's entirely contingent on the workflow that an institution or a researcher is using the tool as I mentioned is completely open source it's all based on open standards and the codes fully released so if a researcher had a use case to put the widget in an application that they are using the data centre admin was looking to enrich records as they entered the repository it could be used in either of those settings quite easily the idea there was that we had this was something that was available for people manually depositing a collection description with ANS this was a tool that we were developing anyway but not a very small proportion of our records about data collections are actually manually crafted within the ANS environment most of them are crafted back at the different archives and data repositories that send records to us so the first thing we thought okay well how can we enable spatially enable those descriptions further back in the process and then if you can give this widget to the people who are providing the research groups and theoretically this is a great thing to have on the little laptop that you've got whilst you're making the observation in the creek so as far back as we can push this into the research process the better and this is just one example of a widget, there will be other ways to integrate directly into the gazetteer and other spatial reference data sets way back into the research process and remember ANS this part is just about the discovery part describing your data set that it has this coverage, there are lots of applications of this actually within the data set itself which will be enabled by the gazetteer before we move on to the next part Greg who was well let me say first that from an ANS point of view Greg Lachlan has been the project coordinator for the gazetteer of Australia 2.0 and we thank him very much for his persistent efforts and his expertise who else did you work with Greg? Well Prada Colt would have me thanking you first but I've got to it was nice those comments and I was no one happier than me to see that great big paper is turning to something as pretty as this and see that little widget extension and how quick it was now I would like to thank a couple of people in fact too from Private Enterprise which is Moritz van der Vlucht from Mercury Project Solutions and the programming team down in Tasmania called Geometry, I hope I've got that right but here in Canberra from the Office of Spatial Policy Helen Owen and Chris Boddy and we were just fabulous and without them this truly would not have happened Excellent Alright let's move on to Directions Really this is our first kind of webinar around Geospatial but it's part of a an agenda, a geospatial agenda that we're pursuing and it's not just ANS I mean this is just happening in society people it's taking over your phone it's taking over everything so we're just reflecting the changes that are happening in society what is ANS responding about we've got more resources there more web pages, guides and tools for example the widget that we saw today will be on the ANS website for download as of next week we have a software release I think in about ten days so within two weeks I imagine that should be available on the ANS website there are a number of projects, development projects that ANS has been involved in and continues to be and more projects in the future so that Gazetteer project that we talked about today is one ANS project we also have a very big project called the Spatial Information Services SIS which is really about if I'm a serious geospatial project and I want to run my own GIS system then how do we do that well then that project has developed a whole stack of tools to be used there so that project has just completed I saw last week and so the project report goes up there the output of that project and all its tools will also be available on the website we have a number of other applications, tools projects in ANS and in collaboration with Nectar so there are a number of geospatial projects on the boiled air and so you'll see the outputs of those projects on the ANS website and actually in use in these research projects there's ANS software we saw a couple of updates that have happened now and we will be increasing continuing that optimisation of the geospatial capability of ANS software we continue again the support and community building so workshops working with different communities as a part of that we have a series of webinars, geospatial webinars, this is the first in a series there'll be another walkthrough of ANS software on the 6th of December just after the release so if you have people who want to be walked through all the functionality of the ANS software, not just the geospatial stuff but everything that's webinar will happen on the 6th of December we have a few to be confirmed webinars so Ben Searle of the Australian Bureau of Statistics has agreed in principle to talk about the new ABS spatial framework and that's possibly into next year so that's a more applying geography throughout that kind of statistical view of the world so that's another interesting application of geospatial Ryan Fraser I hope he's listening Ryan from the CIS team because he doesn't know this yet but we would like them to report on that important CIS project so that again early next year plus there are a couple of other projects that I said so stay tuned on this channel on the geospatial webinar channel we've got quite a few things well as long as you keep watching the same programs again and again yes really 24 hours a day so yes into next year we hope this will be part of support and can I just put it out there if you've got any ideas of what might be done as part of this community building general capability building or if you've got some tools or things that you'd like to highlight through this channel we are very very keen to find out more from you as well are there any late questions we're coming into the home straight here where can we get the widget from from the ANS website can I plug geonext.com.au can I do a plug for the I thought it was something we were going to do let me start again can I plug the geonext.com.au the future of geospatial conference in February 2013 in fact there's also geospatial gov special at gov next week so if you're interested in the general area there's a conference here in Canberra as well so that Moritz wanted to bring our attention to geonext.com.au good so if you want to follow this we have a geospatial page on the ANS website so that would basically be the spot to follow that if you're interested in ANS software development you could contact services at ANS or you could follow Greg on no, he's not he's not he's not he's not no I'm on my motorbike follow Greg on his boat in Jarvis Bay if you have the right tools alright thank you very much everyone thanks Ben and thanks Greg it's been an interesting chat and thank you everyone in the audience for coming along I suppose it's not the right word in the new world and thanks in particular to Moritz and Lucas who were put on the spot to stay staffed a bit during the thing thanks for that and we'll see you at the following geospatial geospatial webinars and a little thanks to our technical guru, Alex and then to Hayes thanks for that alright see you soon