GIScience is concerned theoretically with
every stage of digital representation. Spatial
phenomena must be delineated and classified
in preparation for input to data tables.classi-
ficationsystems, however, must be compat-
ible with data tables, and this acts as a
constraint to the development of categories.
Many spatial phenomena manifest multiple
characteristics, but not all of them can be in-
cluded in a database or the data would be
infinite. The manipulation of data depends
on the attributes that are recorded, or the
objects that are defined. Different community
boundaries, for instance, will render different
results in an assessment of population health.
Visualizing GIS results is likewise vulnerable
to the vagaries of the digital environment, and
must be consistent with human capacity for
perception. At a smallscale(larger area), for
instance, only a limited number of attributes
can be displayed or the map becomes over-
crowded. At a larger scale (smaller area), a
greater number of attributes can be accommo-
dated. Each of these issues has a bearing on
how spatial data are analysed and interpreted.
The GIScience research purview is the rep-
resentation of spatial data and their relation-
ships and these are ultimately expressed in
terms of bits and bytes. Working in a digital
environment is akin to speaking another lan-
guage that uses fundamentally different build-
ing blocks. If we think of the English language
as being composed of twenty-six letters that
can be combined in various ways to form
words, sentences and ideas, then GIS is
based on two letters or digits – zeros and
ones – that can be combined and manipulated
to represent and analyse geographical phe-
nomena and relationships. But the environ-
ment and rules associated with manipulating
geographical objects are quite different from
those we are accustomed to using for conven-
tionaltextand graphics. The digital environ-
ment is constrained by digital parameters
and the extent of representation possible
through combinations and permutations of
bits and bytes.
GIScience is not limited, however, to
process-oriented issues. It is engaged with
how people represent their geographical envir-
onment, and who has the authority to repre-
sent space. Public Participation GIS (PPGIS)
studies and engages with non-profit groups
and non-governmental organizations that use
GIS to represent themselves, and advocate for
change (Elwood and Leitner, 2003). Other
GIScientists address questions aboutfemin-
ismand GIS, and whether the technology is
inherently gendered (Kwan, 2002). Stacey
Warren (2004) explains that PPGIS and
feminism and GIS allow us to move the focus
from analysis and representation in GIS to one
that views the technology as a ‘collaborative
process that involves both people and machin-
ery’. This emphasis on social interactions be-
tween users, affected populations, and
technology is evident in the growing number
ofCritical GIS scholars who have merged
emancipatory agendas and theory from
human geographywith GIScience.
Developers and researchers postulate
that GIScience transcends mereinformation
systems and allows users to ask questions
about spatial relations that were previously
impossible to pose. Its champions argue that
Geographic InformationScienceextends spa-
tial analysis by virtue of enhanced processing
power that allows data-intensive analyses to
extend their geographical breadth. They
claim that GIScience is a means of investigat-
ing previously obscured spatial relationships
and contingencies. There is a tension between
GIS scholars who view the technology as an
emergent phenomenon, capable of initiating
a shift in scientific methodology and other
geographers who view it simply as a vehicle
for concepts that emerge fromgeography.It
is, of course, both. ns
Suggested reading
Longley, Goodchild, Maguire and Rhind (1999);
Schuurman (2004).
Geographic Information Systems (GIS) In
the simplest terms, GIS (or GISystems) is
the mix of hardware, software andpractices
used to runspatial analysisand mapping
programs. GIS does not refer to a homoge-
neous entity, nor one machine or a single prac-
tice but to a collection of practices, software
and hardware with the ability to collect, store,
display, analyse and print information about
the Earth’s surface (or any otherscaleof geog-
raphical data). Each such system is able to
capture, store, check, integrate, analyse and
display spatially referenced data about aspects
of the earth. GIS allows the combination
of geographical data sets (or layers) and the
creation of new geospatial data to which one
can apply standard spatial analysis tools.
Comprehensive GIS require a means of: (i)
data input, frommaps, aerial photos, satellites,
surveys and other sources (cf.remote sens-
ing); (ii) data storage, retrieval, and query;
(iii) data transformation, analysis and model-
ling, including spatial statistics; and finally
Gregory / The Dictionary of Human Geography 9781405132879_4_G Final Proof page 279 2.4.2009 6:30pm
GEOGRAPHIC INFORMATION SYSTEMS (GIS)