00:03What Jeremy and I are going to talk about are intelligent maps and cloud-based GIS…

00:08…something we've been working on at Esri for some time.

00:12But I'd…I'd like to start off giving a little bit of context which is about our users.

00:16We have about 350,000 enterprise organizations who use GIS software, and they work on all kinds of location problems.

00:26They are not so personal specific.

00:29They're more associated with this list, things like business efficiency or conservation or land-use planning…

00:36…or making cities more livable, organizing and optimizing for logistics, those kinds of things.

00:43I'd like to simply say it's taking location beyond just a dot on a map or a pinpoint and…

00:48…getting into the meaning of geography and how that affects how we run our institutions.

00:54In the last few years, these trends are beginning to really come together nicely.

00:58And this conference, thanks to the O'Reilly organization, have really tried to focus it.

01:05Trends in computing and networking, getting faster, now going to cloud, increased measurements, data capture…

01:12…sensor networks, now crowdsourcing, a new form of geospatial data.

01:17The software's getting easier.

01:19It's moving to the cloud.

01:21It's more interactive.

01:23It has more analytics inside of it.

01:25Also the science behind the software, the sort of GIScience, is maturing.

01:30Geography as well as all other fields are bringing about better understanding of how the world works.

01:35And finally, especially in this administration and now spreading around the world…

01:40…more open-data policies are allowing the world to see the world, in other words…

01:46…creating a greater consciousness about geography and how it really works.

01:51From a technology standpoint, GIS is implemented in multiple patterns.

01:55There's the traditional enterprise pattern of desktops and servers and federated systems, Microsoft, Oracle, IBM…

02:03…are the sort of founders of those patterns, now moving to the cloud with access by everyone is the big step.

02:12Cloud platforms are emerging as we saw from the Google presentation this morning and what we're going to show you here as well.

02:21The web cloud pattern for us is a pattern that allows us to connect everything, the easy, powerful desktop…

02:31…mobile web clients to the enterprise servers and now cloud services that can support mapping…

02:40…and visualization and data management in the cloud.

02:43In other words, linking the authoring and using crowd to the cloud, that sort of notion.

02:52Geospatial services are the foundation to make this work, delivering pervasive maps to everybody…

02:59…maps but not just maps, also visualization and analytics and some of the things that can go on in the back office through servers.

03:09We've been working on a concept called intelligent web maps which are a new medium.

03:15They actually blend together multiple services, data, analytics, and publish them in a form that can be shared easily.

03:23They're editable, they're viewable, of course, visualizable but also they run analytics in the background…

03:29…and we'll look at some of those examples in a minute.

03:32These intelligent maps can actually go anywhere.

03:34They can be, of course, services but they can be looked at in an Android phone or in an iPhone or a Microsoft Windows Phone.

03:44They can be looked in a browser.

03:45They can be embedded inside of a website, all those sorts of things.

03:49Social media and real-time feeds are part of these intelligent maps.

03:54They actually deliver just in time or dynamic services, and they're creating interesting opportunities and also challenges.

04:01How do we blend together authoritative source with this real-time dynamic data?

04:08Last year we announced something called ArcGIS.com at this conference.

04:12It now has millions and millions and millions of maps that are made a day and tens of thousands of services and datasets…

04:20…that are in a cloud environment that people are using and exchanging.

04:23They have basemaps and content and, and they're, and this summer we are introducing, hosting…

04:31…that is, being able to author a map on a desktop, send it over to the cloud…

04:35…turn it into raster cache or feature services and servers and serve it back to our users so they don't have to buy a server.

04:44They can blend cloud stuff with enterprise stuff.

04:48For you, what we wanted to tell you is that this is also an interesting platform for developers.

04:53It has open APIs, templates, things to actually use.

04:56But rather than going into this, I'd rather actually just have Jeremy really show it in a series of simple demonstrations.

05:04Alright, thanks a lot, Jack.

05:05As Jack said, there thousands, tens of thousands of maps in ArcGIS Online.

05:10These maps tell powerful stories like this recent imagery map in Japan after the earthquake.

05:15We also tell other stories, you know, socioeconomic stories like the access to supermarkets in your neighborhood.

05:22More geographic stories, you know, what's the soil around you?

05:26Or even related back to the oil spill from a year ago.

05:29We're nearing in on that date.

05:33I'm going to open up this map and this is going to be a temporal view into this, into this web map.

05:38So we're seeing the oil spill animate through time.

05:40It's not just that I can move the map around, but I can also just animate temporally.

05:45This is a very powerful concept.

05:46You see how dynamic this map can be.

05:50Another aspect of these maps that Jack talked about is the ability to be able to share them and them view them in various applications.

05:57So we have a gallery of template applications that you can just pick and use.

05:59They work with these maps.

06:00One that we just wanted to show that we put together recently is to integrate social media.

06:04So it takes that map that you've been looking at then integrates with something like Twitter.

06:09So I go look for Tweets related to the oil spill.

06:12And this is a very powerful way to integrate something that's coming in real time.

06:15You know, hitting directly the Twitter API on top of some map that gives you a story.

06:24Another map that tells a story is this map of census information.

06:26So I can touch this map, this is dynamic, it's for the whole US.

06:29And I can get detailed information back.

06:31I don't just raw data because that's not very useful, but authored information like the houses by income level.

06:37We can take this map and drop in another one of these templates like this is something we call a side-by-side template.

06:42Lets you compare multiple maps at the same time.

06:45What's interesting is that they're all linked together.

06:47So in space and scale, these maps will stay coordinated.

06:51So I can look in the same area across three different intelligent maps.

06:54It's really a different way to look at kind of the mashup, instead of just pushing it all into one, let's spread it out across multiple.

07:02Another interesting thing is that analytics are getting faster and faster.

07:05So in this example here, I'm just moving my mouse along.

07:07I'm accessing gigabytes of street data, generating drive times, and then using that polygon to then go back and then query…

07:16…census information out of another service, pull them back and generate an age graph.

07:20It's amazing where the technology is today, both on the client and on the server with the modern browsers.

07:25Well, let's just see how hard it is to actually make a map, or actually how not hard it is.

07:29First, you start off with a basemap.

07:30We have a gallery of basemaps that you can work with, whether it's with Microsoft…

07:34…or the great work of the OpenStreetMap community.

07:37And then also we have our own set of basemaps like this topographic map which is an authoritative…

07:42…collaborative venture that we have with our users, so they're pushing data in.

07:47So I have the goal of making a map about seismic hazards in Southern California…

07:51…specifically the nuclear, relation to nuclear sites.

07:54So we'll just look for some data.

07:58Alright, found my nuclear plants, something like earthquakes.

08:07See the active hazards from the Pacific Disaster Data Center, see some faults from USGS…

08:15…and then I'm going to add one more.

08:20I'm looking a tsunami risk zones, and we've got all those added.

08:24Let's switch it over to the legend so we can tell what we're looking at here and zoom in to Southern California.

08:31This is a very powerful map, tells many stories actually.

08:34So in the blue zones here, this is the areas of the land that are at risk for inundation zone, inundation after a tsunami.

08:42We have all of the fault information.

08:43It tells you how…where you are in terms of the fault lines, the active hurricanes, and then also the nuclear plants.

08:50But I can…I don't have to stop there.

08:51I can then go ahead and sketch and edit into this map because maybe I want to highlight a particular feature.

08:58So this editing is going to be stored.

09:00I'm editing a feature that's going to be stored with this map or it could also be stored in a server so it can be accessible by anybody.

09:07I'll just tweak the view a little bit.

09:13Alright. So now I'm done.

09:14I want to go ahead and save this map out.

09:22So now what we're doing is taking all those services, generating one intelligent web map that we're going to publish to the cloud…

09:28…host online for you.

09:29Now it's only accessible to you unless you choose to share it out to everybody.

09:32But in this case, I do want to share to everybody and add the goal of actually just putting it into my blog.

09:46Then we can view that map that we just authored.

09:48This is very powerful.

09:49I mean, we want to make…we want to make intelligent maps easy to create and then easy to be able to share out with everybody.

09:55It's not something that's supposed to be difficult.

09:59Another area that we're working on is looking to make it easier for you to get your data into these intelligent maps…

10:03…either through hosted services or just something as simple as a CSV file.

10:07So this, this is a little demo at…find my CSV file.

10:13I have some restaurant locations.

10:14Just going to drag it over onto the map.

10:16This is simple HTML JavaScript application using a HTML 5 file API and then I go ahead and save it.

10:30So now we're taking that, or reading into that CSV file.

10:33We're packaging it up, creating one intelligent web map and then saving it online.

10:36So now if I go back and see what the recent maps are that are available for us I should, hopefully…

10:42…see that map that we just authored and then, boom, I can go ahead and share this map out with anybody…

10:48…and it's not just the graph, it's also the features and the information behind it.

10:52Finally, almost finally, Jack talked about we're moving to hosting not just simple features but hosting cache services for you.

11:01So one of the big things that people don't want to is they don't want to have manage servers on their own.

11:04They don't want to have to work with the network IT guy with his white sneakers.

11:08So this is an example of a map that's authored exactly in Desktop.

11:10And then all I have to do is just publish this button, and whatever I author in our Desktop software, whatever symbology…

11:15…whatever labels, whatever multiple scale dependencies that I might set to tease out the information where it's appropriate…

11:22…is going to be packaged up, pushed to the cloud, going to generate tiles from it, and then we're going to serve it back out as a service.

11:29In the interest of time because I'm getting kind of low, I already did that, and we can see that service here…

11:37…excuse me, that map here.

11:39Multiscale, multiple levels of detail, all packaged up on the desktop exactly how you authored it…

11:46…and then publish and host it for you on the server.

11:50Finally we want to take just one more look at an application that maybe…

11:53…basically combines everything that we just talked about and lets anybody analyze the community.

11:59So this is an application that's San Francisco crime mapping.

12:02So lets you explore patterns in your community.

12:04So I can pick a particular date and time range.

12:06I can say, well, I'm just interested in the nighttime crimes, then I can create hot spots.

12:10This is bring some of those geospatial analytics into the mix.

12:13We're not just creating heat maps.

12:15We're taking into account the level of violence for each of those crimes and generating hot spots…

12:21…not just based on location but based on the attributes that are in those features.

12:25As we can see, we can tie in other sources of information on top of that.

12:28So I can touch this hot spot, and I see that this particular area has a very low household income…

12:34…compared to the rest of the state, local, and county, much higher unemployment rate…

12:41…and a much higher high school dropout rate.

12:43So we showed you a lot of things here where we've combined many…showed you a lot of demos.

12:49We just wanted to get you the…get across to you that we're alive and well and there's lots to…lots to take from it.

12:55The point is that we have hundreds of thousands of users that are building these various interesting authoritative source datasets.

13:02And by bringing them together in this cloud environment, we not only connect our users to our users…

13:07…and build applications like we just showed you, but also that information becomes pervasive through the vehicle of the cloud.

13:14So when we first started 40 some years ago, we were just a research project, and GIS was exactly that.

13:21Gradually we moved to build software which professionals and enterprises could actually use in various settings.

13:28What we've done in the last year is jumped in a major way into the cloud so that our users can upload their data…

13:35…and share it more effectively.

13:36And, what I want to close with is this is an interesting opportunity because it means that all of the world's geospatial information…

13:45…all of the models, all of the analytics become available for people like yourselves, developers, to build on top of.

13:53And what I believe philosophically is that, what I believe philosophically is that…

13:58…that'll make a huge difference in terms of way the people act and the way they behave.

14:03It'll be the integration of geospatial science and technology into virtually everything we do.

14:09Thank you very much.