Land
subsidence
has
attracted
widespread
attention
because
of
its
potential
hazards
to
sustainable
urban
development.
The
traditional
methods
for
estimating
land
disregard
the
crucial
aspect
altitude
by
analyzing
spatial
data
solely
on
2D
plane
(longitude
and
latitude
geographic
coordinates).
This
research
incorporates
feature
into
construction
matrix
develop
a
new
method
named
spatially
multiscale
geographically
weighted
regression
(SM-GWR)
better
estimation
subsidence,
enabling
determine
optimal
bandwidth
at
3D
scales.The
proposed
method's
feasibility
is
confirmed
through
examples
in
China
Singapore.
case
study
results
demonstrate
that:
(1)
SM-GWR
model
shows
significant
improvement
fitting
compared
method;
(2)
contribution
influencing
factors
highly
related
nature
properties
development
city.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 1307 - 1307
Published: Feb. 6, 2025
Ecological
security
is
of
central
significance
for
maintaining
the
integrity
and
stability
regional
ecosystems.
Nevertheless,
current
academic
research
systematically
studying
complex
driving
mechanisms
behind
ecological
deficient.
Therefore,
this
study
utilised
sources
(ESs)
resistance
surfaces
(ERSs)
to
calculate
obtain
Suitability
Index
(ESI),
thereby
reflecting
status.
The
drivers
ESI
in
different
areas
Yellow
River
Basin
(YRB)
from
1990
2020
were
explored
using
random
forest
(RF)
model
GeoDetector.
results
show
that:
(1)
according
RF
model,
LANDUSE,
NDVI,
PRE
are
most
important
factors
upper
(UYR),
middle
(MYR),
lower
(LYR)
reaches
YRB;
(2)
GeoDetector
factor
detection,
UYR
MYR,
primarily
influenced
by
natural
such
as
NDVI
PRE,
showing
particularly
significant
impacts
2010
2020;
(3)
LYR,
mainly
but
degree
influence
socioeconomic
has
significantly
strengthened.
This
provides
a
decision-making
direction
protection
coordinated
development
YRB.
Land,
Journal Year:
2025,
Volume and Issue:
14(4), P. 848 - 848
Published: April 13, 2025
As
a
pivotal
area
in
the
context
of
global
climate
change,
central
Asia
exerts
crucial
influence
on
tackling
change
and
preserving
regional
ecological
equilibrium
via
carbon
sink
capacity
its
ecosystem.
In
this
study,
patch-level
land
use
simulation
model
was
employed
to
predict
changes
under
three
different
scenarios:
agricultural
priority,
urbanized
priority.
Subsequently,
integrated
valuation
ecosystem
services
trade-offs
evaluation
is
utilized
analyze
variations
storage
for
each
scenario.
Finally,
multiscale
geographic
weighted
regression
used
identify
main
driving
factors
influencing
changes.
The
findings
indicate
following:
(1)
priority
scenario,
balance
struck
between
urban
expansion
resource
environment
protection
within
spaces.
Conversely,
scenarios,
spaces
experience
reduction.
(2)
results
2060
scenarios
suggest
that
scenario
will
see
largest
increase
storage,
amounting
1.076
×
10⁸
t.
(3)
digital
elevation
model,
precipitation,
slope
gradient,
temperature
contribute
relatively
more
significantly
Asia.
emphasize
necessity
enhancing
through
space
rational
management,
providing
scientific
evidence
formulation
management
policies.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 18, 2024
Abstract
Ecological
quality
and
its
influencing
factors
are
important
contents
of
ecological
security
in
Guangdong
Province.
As
the
representative
China's
high-quality
development,
maintaining
is
great
significance
to
construction.
Based
on
remote
sensing
index
(RSEI),
this
paper
analyzes
temporal
spatial
changes
Province
from
2000
2023.
According
ENVI
Arcgis
software,
correlation
RSEI
calculated
drawn.
At
same
time,
R2
OLS
MGWR
models
fitted
verify
linear
fitting
relationship
between
The
research
results
show
that:
(1)
development
generally
shows
a
downward
trend
2023;
(2)
change
different
periods;
(3)
strong
auto-correlation;
(4)
potential
not
only
positive,
but
also
negative.
above
conclusions,
article
puts
forward
corresponding
policy
suggestions.
