Mapping, Modeling, and the Fragmentation of Environmental Law

Date01 August 2015
Author
45 ELR 10796 ENVIRONMENTAL LAW REPORTER 8-2015
H O N O R A B L E M E N T I O N
Mapping, Modeling, and
the Fragmentation of
Environmental Law
by Dave Owen
Dave Owen is a Professor at the University of California, Hastings.
Over the pa st four decades, increased data avail-
ability, new software systems, and exponentially
greater computing power have combined to turn
spatial analysis—that is, quantitative analysis of data coded
to specic geographic coordinates—into the coin of the
environmental realm. ousands of analysts in dozens of
elds now spend their days gathering and crunching spatial
data. eir eorts serve a wide variety of purposes a nd are
leading to new ways of conceptualizing ecological systems
and environmental change.
e emergence of spatia l analysis merits revisiting
environmental law’s traditional debates about integrative,
holistic decisionmaking. Spatial analysis can facilitate bet-
ter assessments of the cumulative environmental conse-
quences of activities dispersed across space and time. By
enabling analysts to simultaneously evaluate a variety of
environmental impacts, spatial tools and models can allow
concurrent pursuit of multiple environmental goals. And
by producing maps, which are a compelling and acces-
sible means of conveying information, spatial analysis
can improve communication among the many entities
involved in environmental policyma king. In short, spatial
analysis ca n facilitate more integrative approaches to envi-
ronmental law.
Despite that potential, legal thinkers have devoted little
attention to spatial analysis. Even as other research elds
move toward quantitative ana lysis based on spatial data,
environmental law research remains largely the domain
of qualitative argument, often grounded in intuition and
anecdote and delivered exclusively in prose. is Article
argues for bridging the divide between spatial analysis
and environmental law by exploring some of spatial analy-
sis’s implications for environmental law. Using land use
as a centra l ex ample, it explains how spatial analysis can
change which environmental problems we nd cognitively
tractable, what tools we use to address those problems, and
to whom we allocate authority to respond. It nishes with
a focus on legal research, explaining how spatial analysis
could generate more empirically grounded and practica lly
useful academic inquiries about environmental law. Spatial
analysis technologies are by no means perfect tools, a nd
they can su er from the opacity, manipulability, and false
certainty that plague any complex and quantitative mode
of analysis.1 But despite certain limitations, the emergence
of spatial analysis is an important, and potentially quite
positive, development for environmental law.
I. The Emergent Geocoded Age
From climate change to wildlife management, models now
pervade almost every sub-eld of environmental decision-
making. Many of those models draw upon spatial data,
and many produce spatially explicit outputs—which then
can be used as input d ata by other models. ese models
add a whole new power to spatial analysis. Rather than just
delineating the location of current landscape features, or
teasing out causa l relationships based on data about past
events, they allow environmental ma nagers to oer spa-
tially explicit representations of possible futures.
While technologic al advances allow spatial analys ts to
do remark able things, those adva nces are not an unqua l-
ied good. A ny increase i n the technolog ical sophist ica-
tion of decisionma king creates the threat of overreliance
on te chnolog y at the expense of common sense. Quan-
1. See generally Kenneth A. Bamberger, Technologies of Compliance: Risk and
Regulation in a D igital Age, 88 T. L. R. 669, 675-76 (20 10) (describ-
ing the role of autom ated risk modeling software in the 2008 nancial
collapse); James D. Fine & Dave Owen, Technocracy and Democracy: Con-
icts Between Models and Participation in Environmental Law and Planning,
56 H L.J. 901 (2005) (recognizing “many sources of uncertainty”
inherent in complex modeling systems) ; Wendy Wagner et al., Misunder-
standing Models in Environmental and Public Health Regulation, 18 N.Y.U.
E. L.J. 293 (2010) (highlighting a common misperception of complex
models as “truth machines”).
e full version of this Article was originally published as:
Dave Owen, Mapping, Modeling, and the Fragmentation of
Environmental Law, 2013 U L. R. 219 (2013). It has been
excerpted and updated with permission of Utah Law Review and
Dave Owen. Please see the full article for footnotes and sources.
Copyright © 2015 Environmental Law Institute®, Washington, DC. Reprinted with permission from ELR®, http://www.eli.org, 1-800-433-5120.

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