INTERNATIONAL ADVISORY COMMITTEE
Prof. Mike Goodchild - Chairman
University of California,
Santa Barbara 4, USA
Prof. Hugh Calkins,
State Unversity of New York, - Member
Buffalo, USA
Dr. R. Srinivasan,
Texas A&M University,, Texas, USA - Member
Prof. I.Calder, - Member
University of New Castle-Upon- Tyne,
U.K.
Prof. J. Hogg, - Member
University of Reading, Reading, U.K.
Dr. B.D. Acharya, - Member
Head (NRDMS)), DST, New Delhi
NATIONAL ADVISORY COMMITTEE
1. Secretary, - Chairman
Deptt. of Science & Technology
2. Resident representative UNDP, - Member
New Delhi or his representative
3. Secretary, Ministry of Rural - Member
Development
4. Secretary, Ministry of Water - Member
Resources.
5. Secretary, Ministry of Mines & - Member
Geology
6. Secretary, Department of Health - Member
7. Secretary, Department of Family - Member
Welfare
8. Secretary, Department of - Member
Non- conventional Energy Sources
9 Secretary, Department of - Member
Agriculture
10. Chairman, Central Pollution Control Board - Member
11. Chairman, University Grants Commission - Member
12. Director General, ATCTE, New Delhi - Member
13. Dr. K. Krishnaunni, Former, DG, GSI - Member
14 Director, IIT, Bombay - Member
15. Director, IIT, Delhi - Member
16. Secretary. Development & Planning, - Member
Government of West Bengal, Kolkata
17. Secretary, Rural Development & Panchayati Raj, - Member
Government of Karnataka, Bangalore
18. Surveyor General of India, Dehradun - Member
19. Director, National Atlas & Thematic - Member
Mapping Organisation, Kolkata
20. Joint Secretary (Administration) DST - Member
21. Joint Secretary (Finance) DST - Member
22. Dr. B.D. Acharya Head (NRDMS)), DST, Convenor
New Delhi
TECHNICAL COMMITTEE
1. Dr. B.D. Acharya Head (NRDMS)), DST Chairman
New Delhi
2. Dr. R.K. Midha, TIFAC, DST, New Delhi - Member
3 Dr. Pradeep Sharma, UNDP, New Delhi -do-
or Representative of UNDP
4. Prof. P.B.S. Sharma, IIT, Delhi -do-
5. Prof. .S. Panesar, Punjab Agri. Univ., Ludhiana -do-
6. Dr. A. Perumal, NRSA, Hyderabad -do
7. Prof. A.K. Gosain , Deptt. of Civil Engg., IIT, Delhi -do
8. Dr. Mrs. P. Venkatachalam IIT, Mumbai -do-
9. Dr B. Krishna Mohan IIT, Mumbai -do-
10. Dr. D. Dutta NRDMS DST, New Delhi -do-
11. Dr. M. Prithviraj NRDMS DST, New Delhi -do-
12. Shri P.S. Acharya NRDMS DST, New Delhi Convenor
ORGANISING COMMITTEE
1. Dr. B.D. Acharya Head (NRDMS)), DST Chairman
New Delhi
2. Dr. R.K. Midha, TIFAC, DST, NEW Delhi - Member
3. Prof. A.K. Gosain Deptt. of Civil Engg., IIT Delhi -do-
4. Mrs. P. Venkatachalam, IIT, Bombay -do-
5 .Dr. B.K. Mohan, IIT, Bombay -do-
6. Brig. Gopal Rao, Survey of India, New Delhi -do-
7. Dr. A.K. Singh, IARI, New Delhi -do
8. Shri Ashok Malhotra, UNDP, New Delhi -do-
9. Mrs. Sadhana Relia, Int. Divn., DST -do
10 . Mr. Ravi Gupta, CSDMS, NOIDA, U.P. -do-
11 Shri Bhoop Singh NRDMS, DST, New Delhi -do-
12 Mrs. N. Mendiratta, NRDMS DST, New Delhi -do-
13. Shri D. Datta, NRDMS, DST, New Delhi Convenor
INAUGURAL ADDRESS
APPLICATION OF GIS TECHNOLOGIES TO LOCAL LEVEL PLANNING
Michael F. Goodchild
APPLICATION OF GIS TECHNOLOGIES TO LOCAL
LEVEL PLANNING
Michael F. Goodchild
Department of Geography
University of California, Santa Barbara, USA
ABSTRACT
Geographic information systems (GIS) are widely acknowledged as
valuable tools in support of spatial decisions, and thus in local
level planning. Applications of GIS in this domain date from the
early computer adaptation of the work of McHarg, and the concept of
planning criteria as separable layers of mapped information. The
paper reviews current trends in this area, focusing first on the
social critique of GIS, and its consequences in terms of increased
interest in public-participation GIS; and second on the role of the
Internet in dramatically changing the dominant paradigm of GIS, from
a standalone desktop application to a system for communicating and
sharing knowledge of the planet's surface.
Introduction
Geographic information can be defined as information about places on
the Earth’s surface, and related information about the near-surface
above and below the Earth, such as the atmosphere and the crust.
Geographic information has always played a major role in human
society (see, for example, the fascinating historical story of
geographic information theft related by Harvey, 2000), allowing
early hunter-gatherer societies to tell fellow band members about
food sources and dangerous areas; allowing military strategists and
imperial powers to conquer and consolidate territory; and allowing
today’s citizens to find places and the directions for reaching
them. More formally, geographic information links places on or near
the Earth’s surface to properties, such as elevation, temperature,
population density, or wealth.
The terms geographic and spatial are often used interchangeably,
though the former is strictly a special case of the latter, and the
term geospatial is also widely used. Today we recognize two types of
geographic information, corresponding to two distinct
conceptualizations of the geographical world. In the discrete object
view, the Earth’s surface is an otherwise empty space littered with
features, such as buildings, humans, vehicles, or roads, each of
which might be depicted on a map using appropriate symbols, and
represented in a database as a point, line, or area with associated
geometry and attributes. Discrete objects can be identified on the
ground and counted. In the field view, the Earth’s surface can be
described using a finite set of functions of location, each
visualized as a continuous surface. For example, atmospheric
temperature can be measured at every point on the Earth, and
visualized as a continuous surface, perhaps by tracing its
isotherms. Some phenomena clearly fit the discrete object view
better, and some fit the field view better. Each view defines the
operations that can be performed in manipulating and exploring
geographic information.
A geographic information system (GIS) is defined as a computer
system for input, storage, manipulation, and output of geographic
information, and is to geographic information as the word processor
is to text, or the statistical package to statistical analysis.
Geographic information systems trace their origins to a single
project, the Canada Land Inventory, which was funded by the
Government of Canada beginning in the mid 1960s (Tomlinson, 1998).
The computerization of map data at very substantial expense was
justified on the grounds that computers are far more efficient than
humans at performing elementary operations on geographic
information, including the measurement of simple properties like
length and area, and the overlay and comparison of multiple layers
of geographic information. Each layer might correspond to a single
field, or a single collection of similar discrete objects (e.g.,
lakes, roads, or oilwells).
Since the mid 1960s, and particularly starting in the early 1980s,
GIS has grown into a very substantial application of electronic data
processing, with annual software sales approaching $1 billion, and a
related data and services industry worth perhaps ten times that. GIS
has been quick to adopt recent technical innovations, such as the
Internet and World Wide Web (WWW), object-oriented programming and
database design, and universal standards. It is estimated that on
the order of 10,000 are employed directly in the GIS industry; that
on the order of 100,000 are trained in GIS use and apply it
regularly in their jobs; that on the order of 1,000,000 have
received some level of technical exposure to GIS; and that on the
order of 10,000,000 regularly use GIS-based services such as
computer-derived wayfinding instructions (e.g., http://www.mapquest.com).
For recent introductions and reviews of GIS see Longley et al.
(1999, 2001).
The ultimate purpose of GIS, as with all information systems, is to
inform decisions. The decisions informed by GIS are by definition
geographic, that is, they are affected by geographic location, and
refer directly to geographic location. Thus decisions over the use
of a particular parcel of land, or over the appropriate location for
a given activity such as an industrial plant or road or community
health clinic or school, or over the route to be taken by a bus
service, are all geographic decisions. A GIS has sometimes been
identified as a spatial decision support system (SDSS), and its
design and functionality is ideally adapted to assisting in the
solution of spatial problems. Quality of data has been a major
concern in the GIS research community for the past decade (for an
early review see Goodchild and Gopal, 1989), since it is obvious
that good decisions cannot be based on poor data.
The purpose of this paper is to review the current status of GIS for
spatial decision support. The next section reviews the history of
this area of GIS application, and explores the nature of spatial
decision support. This is followed by a review of recent critiques
of GIS, focusing on issues in spatial decision support. The concept
of public-participation GIS is reviewed, together with recent
developments in the research literature. Finally, the role of the
Internet is reviewed, with associated concepts of digital libraries
and Web-based mapping, all of which have proven to be significant in
the development of GIS as spatial decision support systems.
GIS in planning
The role of GIS in decision support is consistent with longstanding
traditions in a number of disciplines. McHarg (1969) focused and
partly formalized some of these traditions in his well known layer
model, in which the solution to spatial problems is obtained by
superimposing layers of suitably weighted geographic information in
the form of transparent maps. For example, the best route for a new
highway might be obtained by preparing a series of maps, each
representing one factor or criterion relevant to the decision. Each
map would show the factor, and be shaded darkest where the factor is
least favorable, and lightest where it is most favorable. When
overlaid, the combined layers reveal the weighted combination of all
factors (in principle their product), allowing the best location to
be chosen quickly by eye. To McHarg, the layer model was a simple
representation of the process of landscape architecture, and each
layer represented one specific disciplinary expertise. McHarg was
quick to see the relevance of GIS, as a way of automating and
further formalizing the simple procedure. Instead of the
uncontrolled combination of layers that occurs when they are
superimposed over a light source, GIS implementations of McHarg’s
method allow each layer to be carefully evaluated and weighted, and
for the process of combination to be controlled to follow the most
appropriate mathematical function. The command language invented and
popularized by Tomlin (1990) and known as cartographic modeling is
one way of facilitating this combinatorial process, and other
approaches have been described by Takeyama and Couclelis (1997), van
Deursen (1995), and others. The term multi-criteria decision-making
(MCDM) is now used to describe such analytical procedures (Massam,
1988; Thill, 1999).
Recently, far more sophisticated methods have become commonplace in
GIS, and have been enabled through extensions to GIS functionality.
Saaty’s Analytical Hierarchy Process (AHP; Saaty, 1980) provides a
complete scheme for making multi-criteria decisions. The factors of
importance are first identified, and then rated on a pairwise basis
by a group of individuals with stakes in the decision. AHP provides
a way of processing the pairwise comparisons to produce weights that
can be associated with each factor. Finally, the composite scores
are computed and mapped, and a decision is made. AHP is only one of
many such methods, but has proven to be efficacious in a wide range
of spatial decisions. Massam (1980, 1993) has discussed many
examples of the application of MCDM to spatial problems. Support for
MCDM is now present in many commercial off-the-shelf (COTS) GIS,
although Idrisi (http://www.clarklabs.org) has probably advanced the
furthest in implementing this class of functionality and in
providing compelling examples.
More generally, the acquisition of expertise in GIS has become a
major element in the training of planners and landscape architects,
and students in related design-oriented disciplines. Extensions to
standard GIS software have greatly improved the value of GIS in this
application area, including:
* Visualization in
three dimensions, through the addition of height to buildings and
other database features, often through integration of GIS with the
computer-assisted design (CAD) packages common in architecture and
other design-oriented disciplines;
* Animation,
through the computation of dynamic fly-bys that simulate the view
from an aircraft flying over the area;
* Rendering of the
future appearance of the landscape, or artists’ impressions of the
consequences of alternative decisions, using technology to simulate
trees, buildings, and other land covers.
These technologies can require enormous
investment in data acquisition and computation, and raise the
question of the value of realism in simulation. To what extent is
the planner or decision-maker ethically obliged to create realistic
views of the consequences of decisions?
Another area of recent interest has been geo-computation, or the use
of computers and GIS to simulate the operation and effects of
natural or human processes on the landscape (Longley et al., 1998).
A wide range of computer-based numerical models are now available
for the simulation of such natural phenomena as forest succession,
tectonic uplift, groundwater flow, and slope erosion (e.g., Smith et
al., 1997a,b). More recently progress has been made in simulating
processes of urban growth (e.g., Clarke et al., 1997), and other
primarily social phenomena, and in the coupling of models of
different but interacting processes. Some of these models implement
formal mathematical representations, such as the partial
differential equations that describe atmospheric or hydrological
processes. Others approximate social or ecological processes through
the implementation of appropriately designed cellular automata.
Still others attempt to model the actions of humans or animals at
the individual level, through models of the behavior of autonomous
agents (O'Sullivan and Haklay, 2000), reflecting a widespread belief
that modeling of complex human and physical systems requires a very
fine degree of granularity and massive computational power.
The relationship between GIS and geo-computation is complex. In one
view, geo-computation’s concern with dynamics and prediction will
finally move GIS away from its static, map-oriented roots (Couclelis,
1998; Goodchild, 1988), and enable it to address issues of great
significance to public policy. Only by simulation is it possible to
evaluate the impacts of decisions on complex systems, through the
assessment of what-if scenarios.
The social critique of GIS
Until the early 1990s, the development of GIS had followed the
pattern of many other areas of computer application: great
enthusiasm for the technology’s potential, and remarkably little
skepticism. In the late 1980s a new movement in academic cartography
began to question the underlying motives of map-making, led by the
late Brian Harley (Harley, 1989). In this critique, map-making was
seen as an essential instrument of imperial power and domination,
and the example of India was frequently cited (Keay, 2000). Such
critiques were in line with trends in the social sciences generally,
and the rise of deconstructionism, which argued that the products of
many areas of human endeavor can be analyzed to reveal the hidden
motives of their agents; cartographers were no exception. “Whose
agenda is in your glove compartment?” became the title of a chapter
in Denis Wood’s deconstruction of cartography (Wood, 1992).
The subject of this critique quickly extended to GIS, which by the
early 1990s was fast becoming a major force in academic geography
and in many government agencies. GIS was and continues to be
expensive, though the price of entry has fallen dramatically over
the past four decades; in 2001 it is possible to acquire the
hardware and software of a powerful GIS workstation for less than
$5,000 US, which is perhaps four orders of magnitude less than the
price of entry in 1965. Nevertheless a GIS laboratory represented a
very significant investment for an academic institution.
The critique had several major thrusts. First, GIS continues to
raise concerns over privacy, because information on the location of
individuals can be used for powerful and possibly sinister ends.
Geographic location, in the form of a street address, can be used to
link records together and to assemble detailed dossiers on
individuals, and can even lead to identity theft. Geographic
location can be highly sensitive, when people do not want others to
know where they are; for example, it can be a factor in stalking.
Geographic information is clearly of interest to the intelligence
community, and modern technologies of high-resolution space imaging
and closed-circuit television raise the specter of unwanted
surveillance.
Second, GIS has strong roots in the military, and played a very
major role in the wartime operations of the Allies in the Gulf War.
It is used to select targets, and to guide smart bombs and cruise
missiles. It is argued that GIS was at least partly responsible for
the Allied victory in the war, and the extremely disproportionate
casualty figures of the two sides. Yet GIS texts say little about
the military side, much of which remains classified.
Third, and most relevant for the purposes of this paper, is the
critique of GIS as elitist and marginalizing. Because of its high
cost, the first major GIS installations occurred in government
agencies and powerful corporations. Most oil and gas agencies and
companies, along with most forest resource agencies and forest
products companies, had acquired major GIS installations by the mid
1980s. Moreover, early GIS inherited many of its basic ideas from
map-making, including the scientific principle that it is possible
to describe the true nature of the Earth’s surface in a single,
scientifically correct version. This principle of scientific
measurement was easily applied, for example, to the measurement of
topography.
The problem with this view of GIS is that it suggests a powerful
elitist technology, that can easily be perverted into serving the
interests of a powerful elite. As a scientific tool filled with
scientific data, it reflects the notion that science can be
conducted by dispassionate observers according to altruistic
principles. But in areas such as spatial decision support there is
clearly the opportunity for any technology to favor the interests of
a particular, powerful group, and to ignore or marginalize the views
of others. This view was simply reinforced by the observation that
access to early GIS, because of its cost, was virtually limited to
the powerful, whether in the form of government agencies or private
corporations. Moreover it fed directly from the earlier critique of
cartography, which showed in a similar way how an ostensibly
objective, scientific technology could be subverted to serve hidden
interests and motives.
Several excellent summaries of the social critique of GIS have
appeared (Pickles, 1999; Schuurman, 2001), and despite some initial
intellectual skirmishing the critique seems to be generally accepted
as having merit, and requiring response. A series of initiatives,
beginning with a meeting organized by the U.S. National Center for
Geographic Information and Analysis in 1993, have attempted to
encourage constructive dialog. Most relevant for this current paper
is the emergence from the critique of a concept of
public-participation GIS, a major development with both technical
and institutional implications, and the subject of the next section.
Public participation and GIS
The term public-participation GIS (PPGIS) has been explored at a
series of meetings and is the subject of a substantial literature
(Craig et al., in press; Jankowski and Nyerges, 2001; and see
http://www.ncgia.ucsb.edu/varenius/ppgis). It is founded on several
fundamental assertions and principles:
* That GIS has a
substantial role to play in facilitating the open solution of
spatial problems by groups of stakeholders;
* That by doing so
it may aid the process of constructive community-building;
* That in the open
solution of spatial problems it is important that all views be heard
and represented;
* That much of the
information of relevance to the solution of spatial problems is not
amenable to scientific measurement—instead, it is often difficult to
define truth, and different views will often disagree; and
* That the
solution of such problems therefore requires a new approach to the
design of GIS, in which multiple views are preserved and exposed.
These assertions are so strikingly divergent
from the norms of objective science that it is easy to believe that
new technologies are needed to implement them. Thus discussions of
PPGIS often focus on the notion of GIS-2, a new generation of GIS
technology that is fundamentally different from the old. However,
detailed examination often reveals that the new ideas are compatible
with the old technology.
Discussions of PPGIS often address issues of cross-cultural and
cross-linguistic significance. It is argued, for example, that the
history of GIS is a reflection of Western and European cultural
norms, and even of masculine norms, and that a GIS designed for and
by another culture might take a fundamentally different approach.
The concept of classification is often cited, since many GIS layers
of variables such as land cover or land use assume that all local
conditions can be assigned to exactly one class; more recently,
fuzzy approaches to classification have become popular in the GIS
literature as an effective alternative (e.g., Hunsaker et al.,
2001).
PPGIS is part of a wider interest in the role of information in
social processes, particularly community-building. Access to GIS,
through public institutions such as libraries and schools, allows
all citizens to become involved in the planning process, and to be
more active stakeholders. Several large-scale experiments have been
funded in the U.S., through the mechanism of the National
Partnership for Reinventing Government, to explore these issues
(http://www.fgdc.gov/nsdi/docs/cdp/). GIS is seen as a way of
bringing government closer to the communities that it serves, and as
a basis for what has become known as place-based planning, or
planning that addresses the local characteristics and unique needs
of places while being mindful of global or national priorities.
These discussions assume open and free access to information, and
are therefore strongly driven by the changes that have been wrought
in the past decade by the advent of the Internet and the WWW, the
topic of the next section.
The Internet and GIS
The concept of linking computers by high-speed communication links
dates from the 1960s, but inserted itself into the public
consciousness only in the 1990s, with the growth of the Internet.
The WWW, as an application running on the Internet that allows users
seated at client machines to retrieve information from remote
servers and to follow links between different servers, dates only
from 1993. But the combination clearly drove the massive boom in
information technology that occurred from then until 2000, and is
still echoing today.
GIS developers were quick to realize the power and implications of
the WWW, and the first GIS application was one of the very first WWW
sites (Longley et al., 2001). In the U.S., the concept of the
National Spatial Data Infrastructure (NSDI) was defined in 1993
(Mapping Science Committee, 1993) and became the subject of a
Presidential Order in 1994. It proposed to replace the traditional,
centralized mode of production and dissemination of geographic
information, dominated by federal agencies, with a patchwork in
which each community would be empowered to collect and maintain its
own high-resolution data under national guidelines and standards,
and in which each element of the patchwork would be integrated with
its neighbors and with coarser elements maintained higher in the
administrative hierarchy. The NSDI was to be funded through a system
of public–private partnerships involving groupings of government
agencies, NGOs, and corporations.
The NSDI was defined around the concept of framework, the set of
layers of geographic information that form the foundation on which
all other layers are created. The framework includes all of the
geographic features used by people to orient themselves on the
Earth’s surface and commonly shown on topographic maps: roads and
streets, rivers, land use, political boundaries, topographic
features such as hills, and photographic images. The gazetteer, or
list of named places, is clearly part of the framework but was not
one of the original NSDI layers. The NSDI would become the modern
digital equivalent of the base map, but would take advantage of the
benefits of digital technology: fast updating, easy change of scale,
printing on demand, etc.
One of the major programs of the NSDI has been the development of
the National Geospatial Data Clearinghouse (NGDC; http://www.fgdc.gov).
NGDC allows custodians of datasets to advertise their availability
through a WWW site, and allows users to search for datasets across
distributed servers using a single search mechanism. Currently some
300 servers are members of the clearinghouse network, having agreed
to follow NGDC standards for dataset description through the use of
a common metadata standard (metadata are defined as data about data,
or digital documentation). NGDC, and related programs that encourage
custodians of datasets to describe them with metadata and register
them with NGDC, have had enormous influence on the availability and
sharing of digital geographic data, not only in the U.S. but
worldwide.
NGDC is an instance of a geolibrary, a library whose primary search
mechanism is based on geographic location. Thus it is possible to
search a geolibrary for all of the relevant information associated
with a given footprint, or area on the Earth’s surface. Many
geolibraries now exist, sponsored by both public and private
organizations, and making use of the common metadata standard first
promulgated by the U.S. Federal Geographic Data Committee (FGDC;
http://www.fgdc.gov). Geolibraries have the potential to
revolutionize the availability of geographic information for use by
communities in support of the solution of spatial problems.
Geolibraries also reflect a substantial change in the approach used
to disseminate geographic information. Traditional arrangements have
been centralized, dominated by the national mapping and related
agencies in each country. Under these arrangements, each type of
geographic information, or layer, has a separate production
mechanism, and is often the unique responsibility of a separate
agency. In the U.S., for example, production of geographic
information is divided between the USGS, NIMA, NASA, the National
Oceanic and Atmospheric Administration (NOAA), and several other
agencies. The evolution of NSDI has required very elaborate efforts
to encourage interaction between these agencies, through the FGDC.
These arrangements can be described as horizontal, in the sense that
they provide for separate production of each major layer. But GIS
technology adopts a vertical perspective, by integrating separate
layers based on common geographic location. The transition from a
horizontal set of arrangements to a vertical set is enormously
beneficial, in improving access to geographic information and in
promoting the ideals of NSDI and geolibraries, but will entail a
lengthy process of institutional rearrangement.
Another more recent type of geolibrary is exemplified by the
Geography Network, a Web site maintained by the Environmental
Systems Research Institute (http://www.geographynetwork.com/). The
Geography Network is distinguished from its predecessors by its
level of integration with GIS technology, specifically ArcGIS 8.1. A
user of this GIS is able to access the network from within the GIS,
and to make use of data sets as if they were locally resident and
native to the GIS. Besides data, the Geography Network allows users
to access GIS services offered by its members, and allows custodians
of data to advertise their datasets in much the same way as the NGDC.
The development of geolibraries is one example of the use of the
Internet and the WWW to advance the GIS agenda. In addition, many
WWW sites now offer extensive facilities for the creation of
customized maps based on server-side GIS functions, and such sites
have become instrumental in the widespread popularization of GIS.
There are several instances of community-wide approaches to GIS, in
which technology provides the link to bring communities closer
together, based on improved access to information.
All of this enthusiasm for Internet-based GIS assumes a high degree
of connectivity, and clearly is at odds with the reality of Internet
access for much of the population. In developed countries, the
last-mile problem describes the extreme variability in Internet
access that is observed over short distances, such that households
located in the same street can experience orders of magnitude
differences in the bandwidth available to them. Rural areas and poor
neighborhoods clearly do not enjoy the same level of access to the
Internet as universities, libraries, and corporations. In addition,
access is severely constrained in schools by concerns about the use
of the Internet for disseminating pornography and other ethically
unacceptable types of information. At an international level, access
to the Internet varies dramatically from country to country, and
between social classes within countries. The digital divide is
emerging as a major social problem of the new millennium.
Over the past decade a significant shift has occurred in the way GIS
is viewed. In the first few decades of its development, GIS was
perceived as an application of standalone computing systems,
performing tasks that its users found difficult or tedious or
impossible to perform by hand. But with the Internet, the paradigm
has shifted significantly, and GIS is now perceived more as the
means by which people share their knowledge of the planet’s surface,
in the form of geographic information (Goodchild, 2000). This shift
in perspective brings a number of associated shifts, in the ways in
which GIS activity is valued, and the issues that confront its
adoption. Earlier concern for analytic power and computing speed is
replaced by concern for access to archives of data, and
communication bandwidth. It also implies a greater concern for the
role of GIS in community planning, and the ability of GIS to promote
community interaction.
Concluding comments
The purpose of this paper has been to review recent developments in
the area of GIS applications for spatial decision support. Over the
past decade there have been several significant developments: the
rapid evolution of SDSS functionality in GIS, as exemplified by
Idrisi; the continuing social critique of GIS and responses from the
GIS community; and the development of the WWW as a mechanism for
sharing geographic information and building communities through
improved access. There have also been calls for the development of a
new form of GIS, or GIS-2, that addresses many of the criticisms
leveled at GIS-1.
At a global level, many issues confuse the perspective that emerges
from the developed countries. First, despite efforts to develop a
global approach to spatial data infrastructure, an integrated
approach to the creation and dissemination of geographic information
remains a privilege of a few developed countries. Efforts under the
International Steering Committee for Global Mapping (http://www.iscgm.org),
the Global Spatial Data Infrastructure initiative, and the Digital
Earth initiative (http://www.digitalearth.gov), share many common
goals and even joint meetings, but lack a strong organizational home
and significant funding.
Second, the notion that communities can be empowered by GIS clearly
needs to be adapted to the realities of developing countries. Access
to the Internet is severely restricted in many countries, and beyond
the means of many communities. Concepts of community empowerment
through PPGIS that work for the developed world need to be modified
to take account of institutional and technological realities. It may
be that different approaches to facility sharing are needed, or
different approaches to communication in the face of severely
limited bandwidth. Little if any of the investment in Internet
access in the developed world has focused on wireless communication,
but this may be the answer to limited infrastructure in developing
countries.
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