WORKSHOP Spatial Uncertainty Propagation
by Gerard B.M. Heuvelink (Wageningen University, The Netherlands)
and James
D. Brown (National Oceanic and Atmospheric Administration,
USA)
Summary: The Spatial Uncertainty Propagation is
a two-day
workshop
that
presents
theory
and practice
of spatial
uncertainty
propagation
analysis,
by presenting
and discussing
various
uncertainty
propagation
techniques.
The emphasis
is on
Monte
Carlo
simulation
methods.
Workshop
participants
learn
to use
the Data
Uncertainty
Engine
software
tool,
which
is specifically
designed
to help
users
define,
assess,
store
and simulate
uncertain
spatio-temporal
environmental data.
Considerable
attention
is given
to the
effect
of cross- and spatio-temporal correlations
on the
results
of an
uncertainty
analysis
and on
methods
to determine
the relative
contribution
of individual
uncertain
inputs
to the
accuracy
of the
final
result.
[see
also
pedometrics.org
report]
Venue: Monday 23 and Tuesday 24 June, 2008; Pine City Hotel
Shanghai,
China
Participants: shibiaobai21()163.com; mario.caetano()igeo.pt;
hugo.carrao()igeo.pt;
shaofei.chen()utd.edu;
Yun.Chen()csiro.au;
gannd()fiu.edu;
garrigue()pop600.gsfc.nasa.gov;
azalea_gu()163.com;
lzu8848d13()yahoo.com.cn;
hengl()science.uva.nl;
huangcl()lzb.ac.cn;
robrien()csu.edu.au;
p.posen()uea.ac.uk;
ranyh()lzb.ac.cn;
psarmento()igeo.pt;
wlhtj2001()yahoo.com.cn;
wujuebo()gmail.com;
jkyamamo()usp.br;
eunhye()buffalo.edu;
nonolin16()hotmail.com;
baihx()lreis.ac.cn
Overheads: #1 Intro; #2
Methods; #3
DUE; #4
Examples; #5
Other
Practicals: instructions; datasets: [ Geul ]; [ Baranja
Hill ];

Software:
References:
- Brown, J.D. and Heuvelink, G.B.M. 2007. The
Data Uncertainty
Engine
(DUE):
A software
tool
for assessing and simulating uncertain environmental
variables.
Computers & Geosciences,
33(2):
172-190.
- Heuvelink,
G.B.M.
2002. Analysing
uncertainty propagation in GIS: why
is
it not that simple?. In: G.M. Foody and P.M.
Atkinson, Editors, Uncertainty in Remote Sensing
and GIS,
Wiley, Chichester (2002), pp. 155 –165.
- Heuvelink,
G.B.M.,
Brown,
J.D.,
Van
Loon,
E.E.,
2006.
A
Probabilistic framework
for
representing
and
simulating
uncertain
environmental
variables.
International
Journal
of
Geographic
Information
Science,
21(5):
497-513.
Last update:
July 8, 2008
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