Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 10, 2024
Abstract
Since
the
reform
and
opening
up
in
1978,
Dasi
River
Basin
within
Jinan’s
startup
area
from
replacing
old
growth
drivers
with
new
ones
(startup
area)
has
experienced
rapid
urbanization
industrialization,
landscape
pattern
changed
significantly,
resulting
a
series
of
eco-environmental
problems.
In
order
to
more
accurately
identify
vulnerable
areas
pattern,
understand
their
cause
mechanism
changing
laws,
provide
theoretical
basis
for
implementation
sustainable
planning
management
region.
Four
Landsat
images
2002,
2009,
2015
2020
were
taken
as
data
sources,
optimal
granularity
analysis
was
determined
perspective
level
class
by
using
coefficient
variation
method,
effect
curve
information
loss
model,
amplitude
grid
method
semi-variance
function.
Then,
vulnerability
assessment
model
constructed
based
on
scale,
its
spatiotemporal
evolution
characteristics
spatial
autocorrelation
analyzed.
The
result
showed
that:
(1)
this
study
80
m,
350
×
m.
(2)
During
2002–2020,
overall
southern
part
an
increasing
trend,
while
that
middle
northern
parts
decreasing
trend.
(3)
mean
values
index
0.1479,
0.1483,
0.1562
0.1625,
respectively,
showing
trend
year
year.
terms
land
use,
during
average
indices
forestland
built
increased
23.18%
21.43%,
followed
water
body
bare
land,
12.18%
9.52%,
changes
cropland
grassland
relatively
small,
5.36%
5.65%,
respectively.
(4)
significant
positive
correlation
distribution.
Low-Low
generally
transferred
southeastern
midwestern
northern,
High–High
mainly
southern.
Overall,
degree
agglomeration
Geo-spatial Information Science,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 23
Published: May 1, 2024
With
the
recent
increase
in
studies
on
spatial
heterogeneity,
geographically
weighted
(GW)
models
have
become
an
essential
set
of
local
techniques,
attracting
a
wide
range
users
from
different
domains.
In
this
study,
we
demonstrate
newly
developed
standalone
GW
software,
GWmodelS
using
community-level
house
price
data
for
Wuhan,
China.
detail,
number
fundamental
are
illustrated,
including
descriptive
statistics,
basic
and
multiscale
regression,
principle
component
analysis.
Additionally,
functionality
management
batch
mapping
presented
as
supplementary
activities
modeling.
The
software
provides
significant
advantages
terms
user-friendly
graphical
user
interface,
operational
efficiency,
accessibility,
which
facilitate
its
usage
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: May 10, 2024
Abstract
Since
the
reform
and
opening
up
in
1978,
Dasi
River
Basin
within
Jinan’s
startup
area
from
replacing
old
growth
drivers
with
new
ones
(startup
area)
has
experienced
rapid
urbanization
industrialization,
landscape
pattern
changed
significantly,
resulting
a
series
of
eco-environmental
problems.
In
order
to
more
accurately
identify
vulnerable
areas
pattern,
understand
their
cause
mechanism
changing
laws,
provide
theoretical
basis
for
implementation
sustainable
planning
management
region.
Four
Landsat
images
2002,
2009,
2015
2020
were
taken
as
data
sources,
optimal
granularity
analysis
was
determined
perspective
level
class
by
using
coefficient
variation
method,
effect
curve
information
loss
model,
amplitude
grid
method
semi-variance
function.
Then,
vulnerability
assessment
model
constructed
based
on
scale,
its
spatiotemporal
evolution
characteristics
spatial
autocorrelation
analyzed.
The
result
showed
that:
(1)
this
study
80
m,
350
×
m.
(2)
During
2002–2020,
overall
southern
part
an
increasing
trend,
while
that
middle
northern
parts
decreasing
trend.
(3)
mean
values
index
0.1479,
0.1483,
0.1562
0.1625,
respectively,
showing
trend
year
year.
terms
land
use,
during
average
indices
forestland
built
increased
23.18%
21.43%,
followed
water
body
bare
land,
12.18%
9.52%,
changes
cropland
grassland
relatively
small,
5.36%
5.65%,
respectively.
(4)
significant
positive
correlation
distribution.
Low-Low
generally
transferred
southeastern
midwestern
northern,
High–High
mainly
southern.
Overall,
degree
agglomeration
