uh what jeremy and i are going to talk
about are intelligent maps
and cloud-based gis something we've been
working on at sri for some time
but i'd like to start off giving a
little bit of context which is about our
users
we have about 350 000
enterprise organizations who use gis
software and they work on all kinds of
location problems
they are not so personal specific
they're more
associated with with this list things
like business efficiency or conservation
or land use planning or making cities
more livable
organizing and optimizing for logistics
those kinds of things
i'd like to simply say it's taking
location beyond just a dot on a map or a
pinpoint and getting into the meaning of
geography and how that affects how we
run our institutions
in the last few years these trends are
beginning to really come together nicely
and this conference thanks to the
o'reilly organization have really tried
to focus it
trends in computing and networking
getting faster and now going to cloud
increased measurements data capture
sensor networks now crowdsourcing a new
form of geospatial data the software is
getting easier it's moving to the cloud
it's more interactive
it has more analytics inside of it
also the science behind the software the
sort of gi science is maturing geography
as well as all other fields are bringing
about better understanding of how the
world works and finally
especially in this administration and
now spreading around the world more open
data policies are allowing the world to
see the world
in other words creating a greater
consciousness about geography and how it
how it really works
from a technology standpoint gis is
implemented in multiple patterns there's
the traditional enterprise pattern of
desktops and servers and federated
systems microsoft oracle ibm are the
sort of founders of those patterns now
moving to the cloud
with access by everyone is the is the
big step
cloud platforms are emerging as we saw
from the google presentation this
morning and what we're going to show you
here as well
the web cloud pattern for us
is a pattern that allows us to connect
everything
the easy powerful
desktop
mobile
web
clients to the enterprise servers
and now cloud services that can support
mapping and visualization and data
management in the cloud in other words
linking the authoring and using
crowd
to the cloud that sort of notion
geospatial services are the foundation
to make this work
delivering pervasive maps to everybody
maps but not just maps also
visualization and analytics and some of
the things that can go on in the back
office
through servers
we've been working on a concept called
intelligent web maps which are a new
medium they actually blend together
multiple services data analytics and
publish them
in a form that can be shared easily
they're editable they're viewable of
course visualizable but also they run
analytics in the background and we'll
look at some of those examples in a
minute
these intelligent maps can actually go
anywhere they can be
of course
services but they can be looked at in a
in an android phone or in a in an iphone
or a microsoft
windows phone they can be looked in a
browser they can be embedded inside of a
website all those sorts of things
social media and real-time feeds are
part of these
intelligent maps they actually deliver
just in time or dynamic services and
they're creating interesting
opportunities and also challenges how do
we blend together authoritative source
with this real-time dynamic data
last year we announced something called
rts.com at this conference
it now has millions and millions and
millions of maps that are made a day
and
tens of thousands of services and data
sets that are in a cloud environment
that people are using and exchanging
they have base maps and content
uh and
and there and this summer we are
introducing hosting
that is being able to author a map in a
desktop send it over to the cloud 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
they can blend cloud stuff with with
enterprise stuff
for you what we wanted to tell you is
that this is also an interesting
platform for developers it has open apis
templates things to actually use but
rather than going into this i'd rather
actually just have jeremy really show it
in a series of simple demonstrations
all right thanks a lot jack
as jack said there's thousands tens of
thousands of maps in arcgis online these
maps tell powerful stories like this
recent imagery uh map in japan after the
earthquake we also tell other stories
you know socioeconomic stories like the
access to supermarkets in your
neighborhood
more geographic stores you know what's
the soil around you
um or even related back to the oil spill
from a year ago uh we're near we're
nearing in on that uh
on that date and i'm gonna open up this
map and this is gonna be a temporal view
into this into this web map so we're
seeing the oil spill animate through
time it's not just that i can move the
map around but i can also just animate
temporally
this is a very powerful concept you see
how dynamic this map can be
another aspect of these maps that jack
talked about is the ability to be able
to share them and then view them in
various
applications so we have a gallery of
template applications that you can just
pick and use they work with these maps
one that we just wanted to show that we
put together recently is to integrate
social media so it takes that map that
you've been looking at and then
integrates with something like twitter
so i can look for tweets related to the
oil spill
and this is a very powerful way to
integrate something that's coming in
real time you know hitting directly to
the twitter api on top of some map that
gives your gives you a story
another map that tells the story is this
map of census information so i can touch
this map as dynamic as for the whole us
and i can get detailed information back
i don't just get raw data because that's
not very useful but authored information
like the house is by income level
we can take this map and drop in another
one of these templates like this is
something we call a side by side
template lets you compare multiple maps
at the same time
what's interesting is that they're all
linked together so in space and scale
these maps will stay coordinated so i
can look in the same area across three
different intelligent maps it's really
different way to look at kind of the
match up instead of just pushing it all
into one i'll spread it out across
multiple
another interesting thing is that
analytics are getting faster and faster
so in this example here i'm just moving
my mouse along i'm accessing uh
gigabytes of street data generating
drive times and then using that polygon
to then go back and then query
census information out of another
service pull them back and generate an
age graph it's amazing where the
technology is today both on the client
and on the server with the modern
browsers
well let's just see how hard it is to
actually make a map where actually how
not hard it is first you start off with
the base map we have a gallery of base
maps that you can work with whether it's
with microsoft or the great work of the
openstreetmap community
and then also we have our own set of
base maps like this topographic map
which is an authoritative
collaborative venture that we have with
our users or they're pushing data in
so i have a goal of making a map about
seismic hazards in southern california
specifically the nuclear
relation to nuclear sites so let's just
look for some data
all right found my nuclear plants
something like
earthquakes
uh see the
active hazards from the pacific disaster
data center
see some
faults from usgs
and then i'm going to add one more
i'm going to look at tsunami risk zones
now we've got all those added let's
switch it over to the legend so we can
tell what we're looking at here
and zoom into southern california
this is a very powerful map tells many
stories actually so in the blue zones
here this is the areas of the of the of
the land that are at risk for inundation
zone inundation after a tsunami
we have all of the fault information it
tells you how where you are in terms of
the the fault lines the active
hurricanes and then also the nuclear
plants
but i can i don't have to stop there i
can then go ahead and sketch and edit
into this map because maybe i want to
highlight a particular feature
so this editing is going to be stored
i'm editing a feature that can be stored
with this map or it could also be stored
in a in a server so they can be
accessible by anybody just tweak the
view a little bit
all right so now i'm done i want to go
ahead and save this map out
so now what we're doing is taking all
those services generating one
intelligent web map that we're going to
publish to the cloud host online for you
now it's only accessible to you unless
you choose to share it out to everybody
but in this case i do want to share it
to everybody and i had the goal of
actually just putting it into my blog
then we can view that map that we just
authored this is very powerful i mean we
want to make gia we want to make
intelligent maps easy to create and then
easy to be able to share out with
everybody it's not something that's
supposed to be difficult
well another area that we're working on
is looking to make it easier for you to
get your data into these intelligent
maps either through hosted services or
just something as simple as a csv file
so this
this is a little demo
and
find my csv file i have some restaurant
locations just going to drag it over
onto the map this is a simple html
javascript application using a html5
file api and then i'll go ahead and save
it
so now we're taking that we're reading
into that csv file we're packaging it up
creating one intelligent web map and
then saving it online so now if i go
back and see what the recent maps are
that are available for us i should
hopefully
see that map that we just authored
and then boom i can go ahead and share
this map out with anybody and it's not
just the graph it's also the features
and the information behind it
finally
almost finally
jack talked about we're moving to
hosting
not just simple features but hosting
cache services for you so one of the big
things that people don't want to do is
they don't want to have to manage
servers on their own they don't have to
work with the network it guide with this
white sneakers
so this is an example of a map that's
authored exactly in desktop and then all
i have to do is just publish this button
whatever i author in our desktop
software whatever symbology what other
labels whatever multiple scale
dependencies that i might set to to
tease out the information where it's
appropriate is going to be packaged up
pushed to the cloud we're going to
generate tiles from it and then we're
going to serve it back out as a service
in the interest of time because i'm
getting kind of low
i already did that
and we can see that surface here
excuse me that map here
multi-scale
multiple levels of detail all packaged
up on the desktop exactly how you
authored it and then published and
hosted for you on the server
finally we want to take just one more
look at an application that maybe
basically combines everything that we
just talked about and let
anybody analyze the community so this is
an application that's a san francisco
crime mapping so let you explore
patterns in your community so i can pick
a particular date and time range i can
say well i'm just interested in the
nighttime crimes then i can create hot
spots this is bringing some of those
geospatial analytics into the mix we're
not just creating heat maps we're taking
into account the level of violence for
each of those crimes and generating hot
spots
not just based on location but based on
the attributes that are in those
features
as we can see we can tie in other
sources of information on top of that so
i can touch this
hotspot and i see that in this
particular area has a very low household
income compared to the rest of the state
local and county
much higher unemployment rate and a much
higher high school dropout rate
so we showed you a lot of things here
where we combined many
i showed you a lot of demos we just want
to get you to get get across to you that
that's we're alive and well and there's
lots to uh lots to take from them well
the the point is that we have hundreds
of thousands of users that are building
these various interesting authoritative
source data sets and by bringing them
together in this cloud environment we
not only connect our users to our users
and build applications like we just
showed you but also that information
becomes pervasive through the through
the vehicle of the cloud so when we
first started uh 40 some years ago
we were just a research project and gis
was exactly that gradually we moved to
build software which professionals and
enterprises could actually use in
various settings what we've done in the
last year is jumped in a major way into
the cloud so that our users can
upload their data and share it more
effectively and what i want to close
with is this is an interesting
opportunity because it means that all of
the world's geospatial information all
of the models all of the analytics
become available for people like
yourselves developers to to build on top
of and what i believe philosophically is
that what i believe philosophically is
that that that'll make a huge difference
in terms of the way people act and the
way they behave it'll be the integration
of geospatial science and technology
into virtually everything we do thank
you very much
you