|

April 3, 2007
GIS Technology
Maps People and Planet
by
Daniel Hecht
My most
recent chat with David Healy was by phone from Ukraine. I could picture him
in Dnipropetrovsk, far from his Calais
home: curly white hair, a habitually cheerful expression, resembling --
dependent on the state of either’s haircut -- the great bluegrass
mandolinist, Dave “Dawg” Grisman.
Our
globe-spanning talk was appropriate, given what David does. He’s
vice president of Applied Information Management at Stone Environmental,
in Montpelier.
I think of him as the Steve Jobs of geographical information systems
(GIS), an important tool for understanding the natural world and how
human beings affect it.
A man of
omnivorous intelligence and broad interests, he describes himself as a
person “constantly in search of solutions to problems.” Given
his BA in Meteorology and MA in Urban Planning, it’s clear he seeks
solutions by looking at the larger systemic context of things. Thus his
twenty-year interest in GIS.
Aerial
mapping is not new, but it wasn’t until we acquired the vertical
distance of orbital satellites that we could get a true overview of the
terrain. Over here, for example, the entire length of the Missouri River,
tributaries like roots of a tree; there, the whole meandering line of
knuckled humps that is the Blue Ridge Mountains.
GIS combines
these overhead views with digitized data sets based on what’s
happening in a place. Think of taking a high-altitude photograph of the
ground, then laying on it a series of transparent sheets, each scattered
with differently-colored dots or shadings that signify a certain amount
or quality of something. As the layers add up, a mosaic emerges, with
patterns that reveal a great deal.
If
you’re modeling a river system, you might sample various aspects of
the waterway at many points and assemble a multi-dimensional portrait of
river depth, fish populations, human activities along the banks, and
pollutant presence.
Adding the
first data overlay, you might discover that where there are lots of red
dots signifying pollution, there aren’t many green dots signifying
fish. Another layer, with black dots for industrial plants and yellow
dots for apple orchards, reveals a surprise: The red pollution dots
concentrate near the apple orchards. Deduction: The pollutants
aren’t of industrial origin but are, say, pesticide runoff from
agriculture. Solution: Determine how to help fish and apples coexist.
GIS can also
go into the air to build spatial models that include weather patterns,
air pollution, and bird migration routes. And with information from
borings and ground-penetrating radar, it can depict what’s beneath
the surface, mapping water table contours, soil depth, mineral content,
or the “plumes” of contaminants spreading from a pollution
source.
A
comparatively simple example of Stone Environmental’s GIS work is a
recent job developing visualizations of three possible wind tower
installations in Vermont, New York, and Maine. Using topographical
information, the GIS data models the towers’ visual impact on the
landscape. This accurate, objective assessment and realistic digital
imaging permits optimum siting, valuable for both developers and wind
opponents.
Another Stone
project is developing a GIS system to support ecosystem-based management
of New York
State’s
coastal areas. David’s role is to collect information, identify
data deficiencies, and design a data management strategy. The resulting
GIS map will show living systems such as mollusk, eel grass, and
endangered species populations, in the context of human factors like
population, economics, behaviors, land use, and pollutant spills.
Prior to GIS,
the interaction of such elements was not easily recognizable. Now, their
mutual influence can be seen and understood, to the benefit of both
people and the environment.
A good
example is Stone Environmental’s GIS-based study of demographic and
environmental factors in the African countries, Niger and Mali. Working village by
village, David and his team assembled a regional information
infrastructure based on census data, looking for the causes of poverty.
Their maps juxtaposed six human factors, including hunger, education, and
proximity to roads, with environmental factors such as rainfall and soil
characteristics.
The
rainbow-hued maps showed a clear correspondence between poverty and
specific environmental factors.
Traditionally,
economists analyzing wealth and poverty have tended to focus on measures
of trade, industry, and financial policy, and to minimize the influence
of natural resources and ecosystems. But with GIS-derived models,
governments can better plan development investments, highway
construction, and agricultural or educational policies -- all of which,
thanks to GIS, they now know must respect the characteristics and
capacities of the natural environment.
Given its
basis in aerial images and digital information, it might seem that GIS
encourages a remote or abstracted view. In fact, it does not distance us
from Earth – it’s a tool to help us understand our planetary
home, and ourselves, better at last.
###
To learn more
about GIS, visit Vermont Center for Geographical Information’s fun
and informative interactive website, www.vcgi.org.
Daniel Hecht
is a novelist and executive director of Vermont Environmental Consortium.
For more information on any Green Grapevine topic, contact vec@norwich.edu.
Copyright
2007 by Daniel Hecht
<< Back
|