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GIS train has
left geography
station

Prof. Arup Dasgupta
Honorary Managing Editor
GIS Development
arup.dasgupta@GISdevelopment.net
There are three key words that
describe the field of Geospatial
Information Systems
today: enterprise, convergence and
democratisation. I have deliberately
used the word 'geospatial' instead of
the more common 'geographical' to
stress the fact that "the GIS train has
truly left the geography station".
I have picked up this allegorical reference
from an article by Mike Goodchild
in which he has opined that GIS, in
terms of technology and applications,
is likely to move beyond the scope of
traditional geography. This is not to
downplay the importance of the science
of geography in a geospatial system.
Physical geography does provide
the theoretical underpinnings of GIS.
What is more important is that geospatial
technology also provides geography
with an opportunity to go beyond
its confines and rediscover itself. Incidentally,
there are many who think the
term geospatial is an oddity and geographical
- or geographic, if you are
from the US - encompasses all that is
happening in the world of digital spatial
technology. I will not venture to
add to this debate - in any case my preference
is for geomatics which also happens
to be the accepted ISO term for
what we are going to discuss.
ENTERPRISE
The lifecycle of geospatial information
systems closely follows the life cycle of
general information systems. The
advent of computers gave birth to the
technology of data processing and the
establishment of the electronic data
processing (EDP) unit in most enterprises.
The EDP cell remained in the periphery
till it was given due recognition as
the management information system
(MIS) department and became an integral
part of the enterprise. The advent
of desktop computing moved many of
the MIS functions to the individual
desktops but the need for data synchronisation,
security
and redundancy
avoidance forced
the move to clientserver
systems with
the EDP/MIS managing
the data. As IT
became more integrated
with the
enterprise, we saw
the advent of office
automation, enterprise
resources
planning, supply chain management,
back office operations and customer
relationship management to name a
few of the applications. This resulted in
a multiple client server systems within
an enterprise and the rise of the enterprise-
wide distributed data processing
paradigm with multiple servers across
divisions, many geographically dispersed,
linked together in a network.
The advent of the Internet and the
World Wide Web provided a network
which could be used to configure a virtual
private secured network for the
enterprise and an open network for
public access.
The GIS lifecycle began as a distinct
unit variously called the digital mapping
centre or GIS division. GIS was
mainframe based and access was
through command line based graphic
terminals. Networking was not on the
radar. In mid 1980s, a prominent GIS
vendor expressed more confidence on a
minicomputer based system rather
than a workstation based product.
Even as late as 1999, ESRI was distributing
GIO lapel badges at its user conference.
GIO stood for Geographic Information
Officer, a variation of Chief
Information Officer - a term popular in
the EDP/MIS era. The advent of the
desktop GIS led to a proliferation of GIS
installations and the headaches of data

duplication and synchronisation across
the enterprise. Enterprise GIS was the
solution. An additional factor was the
discovery of the utility of spatial information
by new users. Spatial information
is a given for defence services,
engineers and natural resource managers
but now areas like marketing,
CRM, ERP, governance, health, education
and law enforcement have begun
to appreciate the power of spatial information.
As a result a need has arisen to
create a core spatial database which
could be used by many users. This is the
emerging picture of GIS. We are seeing
such cores becoming an integral part of
traditional IT systems like ERP, CRM
and e-governance. The enterprise GIS is
thus a distributed system where the
core geographical data is managed by
one agency or department and each
branch of the enterprise adding its own
unique dataset to the core and running
its own analysis models on the ensemble.
The importance given to standards
and interoperability issues is a mark of
the emergence of such enterprise solutions.
As GIS becomes an integral part
of an enterprise solution, users will be
from diverse disciplines. Here, ease of
use holds the key to success.
GIS designers have found the Web to
be the ideal medium networking and
the open Web technology as the vehicle
for interoperability and for ease of use.
Web GIS thus has made the best use of
the developments and standards of the
WWW Consortium, W3C to create innovative
open solutions. Web 1.0 provided
a simple solution for map publishing;
Web 2.0 has made possible a degree of
interactivity which enables not only
data but service dissemination over the
Web. ISO and OGC standards like GML,
WMS, WFS, CSW and many more, based
on Web 2.0, provide the framework for spatial data interoperability across heterogeneous
distributed systems.

The
W3C, ISO and OGC standards are in a
process of evolution and keep step with
evolving technologies. Heterogeneity
extends from hardware to operating
systems to applications software and
data. In order to maintain a degree of
independence of individual systems,
the technology trend is towards a
coarse grained service oriented architecture
along with SOAP or REST protocols
to provide inter-system communications.
Such a system will insulate
individual systems from getting affected
by external changes.
One of the most important evolving
applications systems is mashup.
Mashups provide applications development
on the fly. It consists of the client,
usually a browser; a server which provides
a Web page containing an application
that uses the server's own data
and data from other content providers;
and servers of other content providers
that provide data through APIs using
SOAP or REST protocols or other Web
services. Much of the interaction in
mashups happens between machines
and this brings up the problem of heterogeneity
in naming and cognitive
semantics. Web 3.0 is expected to provide
solutions to such problems
through research on the semantic Web.
CONVERGENCE
Web GIS represents one face of the convergence
of technologies. Many other
technologies are becoming important
elements in the geospatial world. Convergence
can happen at device level,
like GPS enabled cellular phones and
GPS enabled PDAs for navigation; at
data level, like maps and high resolution
imagery at street level and at
application interface level for mashups.
Navigation systems like GPS and
GLONASS are not only important for
surveying but have become important
elements of location based services like
vehicle and personal navigation, asset
tracking and point of interest (POI)
location. GPS augmented cameras can
tag scenes with position and time,
enabling their location in space-time
on a map. GPS tagged, metric quality
street imagery as provided by for
example, Cyclomedia can be used to
update urban databases rapidly.
Mashups enable creation of new applications
on the fly. Many new services
are coming up like Geocommons which
enable novice users to create data
mashups. Geospatial data and services
will be accessible seamlessly over different
platforms ranging from desktops
to cellular phones enabling a person
to 'carry' his work from the desk to
the field and vice versa seamlessly.
Mobile devices also enable rapid acquisition
of data from field stations. For
example, electric utilities use WiFi
enabled meters in residences which
can be queried and their data downloaded
by mobile vans equipped with
readers connected to the central SCADA
station. This overcomes the problems
of locked residences and the
labour of a meter reader going from
house to house.
DEMOCRATISATION
Spatial context has become an important
factor in everyday life of the common
man. Car or personal navigation,
location of points of interest, issues
related to common property resources
are some of the applications which are
of relevance. Enterprise GIS and convergence
have led to services that have
put spatial content and the ability to
manipulate this content in the hands of
the common person. This democratisation
of spatial technology, data and
applications has given rise to the neogeographer.
A neo-geographer is a person
who uses the simple tools made
available by services like Google and
Microsoft Virtual Earth to add geographical
information about his environs
to a database. Another term coming
into prominence is 'crowd-sourcing'
where individuals are encouraged to
contribute geographic data to a common
platform. The data is then put
through a process of verification before
being incorporated into the database.
An excellent example is Google Map
Maker which is now available across
several countries. Neo-geography spatially
enables communities and helps
them to participate constructively in
governance and development. Spatially
enabled communities can ensure
better services like for example municipal
services and also contribute to community
friendly development of their
environment, like location of recreation
areas, health facilities etc.
GI SCIENCE
All these developments require
research beyond the confines of traditional
geography. For example, population
studies treat figures as static numbers
but population density can change
drastically in the course of a day, for
example in an area around a school.
Missing these variations can result in
improper resources planning, for
example inadequate parking area for
vehicles or inadequate public transport.
Studying such problems require
innovative computational methods
and algorithms. Map algebra takes on a
new meaning with raster processing
algorithms. Geostatistics can be run on
digital maps and the results visualised.
An entirely new field, geospatial information
science has developed to look at
these issues. If we look at geography in
this context, then many new research
areas emerge. Some of these are :
• Ontology of the geographical domain
• Representation of geographical phenomena
• Qualitative spatial reasoning
• Computational geometry
• Indexing, retrieval and search in geographical
databases
• Spatial statistics
• Map algebra
• Cognitive models of geographic phenomena
• Human interaction with geographical
information and technology
• Acquisition and quality of data
• Spatio-temporal modelling, analysis
• Societal impact of geographical information
TOOLKITS
The geospatial professional has a range
of tools at his disposal to configure
these systems. GIS software has gone
the server way. For example, ESRI's
ArcGIS Server is fully standards compliant
and interoperable with other systems.
Integration with SAP, SQL databases
like Oracle, PostGres and DB2 are
built in. The server can provide coarse
grained SOA Web services using SOAP
API as well as fine grained application
development like Microsoft Dot Net,
Visual Studio and Java. OGC compliance
is built into all GIS server products
whether it is from ESRI, Bentley or
Autodesk. The latter has a product
Autodesk Map, which has an Open
Source versionand a priced product. The
Open Source (OS) version enables developers
to contribute modules, that find a
place in commercial version.
OS seems to be a mantrathat is catching
on. Open Source Geospatial, OSGeo,
has a strong following and many
mashups are coming out of the OS
world. However, Open Source is not for
the faint-hearted or for those looking
for quick solutions.
Having said that, I must add that
some of the best OGC compliant map
servers for WMS and WFS are available
in Open Source. The interesting fact is
that OSGeo supported products work
on both Linux and Windows. This
should appeal to those who are not
comfortable with Linux. An interesting
development is the release of ITC's
ILWIS as an open source product
supported by a commercial entity,
52North. ILWIS is a product that combines
both GIS and image processing
functionalities.
Similar integration can be seen in
commercial products like ERDAS,
ERMapper and many others. This integration
is a pointer to the importance of
high resolution imagery in GIS. Such
imagery provides most current geospatial
information and during events like
disasters they are the only authentic
information available to the rescue and
rehabilitation teams. Google Maps and
Microsoft VE depend heavily on
imagery. Google Map Maker provides
high resolution imagery in the background
to enable neo-geographers to
identify and input information.
High resolution stereo imagery is
required for high level 3D mapping
using digital photogrammetry. Digital
aerial stereo imagery has replaced conventional
photography. Though satellite
stereo imagery is also available,
studies show that aerial imagery still
has an edge. Software which
automates the photogrammetry workflow
is increasingly getting integrated
with the data acquisition itself. This
provides rapid turnaround of the
data from acquisition to application.
What next?
Forecasting is a dangerous proposition!
However, I think it is safe to predict
that GIS will be embedded to the
point of becoming ubiquitous. Both
high tech professional applications and
popular social applications will thrive
and perhaps feed constructively into
each other like Microsoft's Photosynth.
People and professionals will discover
new applications - many which we
may not have even dreamt about!
The concept of place and time will
enable the location of all objects from a
house to the house pet in a geospatial
framework. As Franz Leberl puts it, people
will need to add computational
thinking to the three R's.