Annals of GIS,
Journal Year:
2024,
Volume and Issue:
30(1), P. 1 - 14
Published: Jan. 2, 2024
The
Annual
Meeting
of
the
American
Association
Geographers
(AAG)
in
2023
marked
a
five-year
milestone
since
first
Geospatial
Artificial
Intelligence
(GeoAI)
Symposium
was
held
at
AAG
2018.
In
past
five
years,
progress
has
been
made
while
open
questions
remain.
this
context,
we
organized
an
panel
and
invited
panellists
to
discuss
advances
limitations
GeoAI
research.
commended
successes,
such
as
development
spatially
explicit
models,
production
large-scale
geographic
datasets,
use
address
real-world
problems.
also
shared
their
thoughts
on
current
research,
which
were
considered
opportunities
engage
theories
geography,
enhance
model
explainability,
quantify
uncertainty,
improve
generalizability.
This
article
summarizes
presentations
from
provides
after-panel
organizers.
We
hope
that
can
make
these
more
accessible
interested
readers
help
stimulate
new
ideas
for
future
breakthroughs.
Transactions in GIS,
Journal Year:
2023,
Volume and Issue:
27(3), P. 626 - 645
Published: April 24, 2023
Abstract
Although
explainable
artificial
intelligence
(XAI)
promises
considerable
progress
in
glassboxing
deep
learning
models,
there
are
challenges
applying
XAI
to
geospatial
(GeoAI),
specifically
neural
networks
(DNNs).
We
summarize
these
as
three
major
challenges,
related
generally
computation,
GeoAI
and
geographic
data
handling,
geosocial
issues.
computation
includes
the
difficulty
of
selecting
reference
data/models
shortcomings
attributing
explanatory
power
gradients,
well
accommodating
scale,
geovisualization,
underlying
structures.
Geosocial
encompass
limitations
knowledge
scope—semantics
ontologies—in
explanation
lack
integrating
non‐technical
aspects
XAI,
including
processes
that
not
amenable
XAI.
illustrate
issues
with
a
land
use
classification
case
study.
Annals of GIS,
Journal Year:
2024,
Volume and Issue:
30(1), P. 1 - 14
Published: Jan. 2, 2024
The
Annual
Meeting
of
the
American
Association
Geographers
(AAG)
in
2023
marked
a
five-year
milestone
since
first
Geospatial
Artificial
Intelligence
(GeoAI)
Symposium
was
held
at
AAG
2018.
In
past
five
years,
progress
has
been
made
while
open
questions
remain.
this
context,
we
organized
an
panel
and
invited
panellists
to
discuss
advances
limitations
GeoAI
research.
commended
successes,
such
as
development
spatially
explicit
models,
production
large-scale
geographic
datasets,
use
address
real-world
problems.
also
shared
their
thoughts
on
current
research,
which
were
considered
opportunities
engage
theories
geography,
enhance
model
explainability,
quantify
uncertainty,
improve
generalizability.
This
article
summarizes
presentations
from
provides
after-panel
organizers.
We
hope
that
can
make
these
more
accessible
interested
readers
help
stimulate
new
ideas
for
future
breakthroughs.
