2022 Advances in Science and Engineering Technology International Conferences (ASET),
Год журнала:
2020,
Номер
108, С. 1 - 5
Опубликована: Фев. 1, 2020
Radical
advances
have
been
made
in
the
field
of
satellite/Geospatial
technology
and
we
are
beginning
to
see
use
importance
it
various
spheres.
Organizations
that
can
take
advantage
usage
geospatial
data,
will
capability
key
strategic
decisions,
which
turn
would
enhance
organizational
effectiveness.
The
progress,
development
sophistication
open
up
many
unexplored
doors
new
possibilities
for
human
resource
professionals.
It
enable
them
view
Human
Practices
a
different
light.
A
critical
success
factor
this,
is
corelation
data
through
both
visualize
comprehend,
so
as
convert
raw
satellite
images
meaningful
interpretation
its
resources.
In
effect,
confluence
computing
power,
Artificial
intelligence
imagery.
This
paper
reviews
application
how
this
help
uncover
opportunities
add
value
Capital
Management.
addition,
proposes
suggestive
model
provide
informative
insights
on
could
be
leveraged
upon
future
research
within
realms
Resource
Natural
hazards
and
man-made
disasters
are
victimizing
large
numbers
of
people
causing
significant
social
economical
losses.
By
developing
efficient
Spatial
Decision
Support
Systems
(SDSS),
managers
will
be
efficiently
assisted
in
identifying
managing
impending
hazards.
This
goal
could
not
reached
without
addressing
challenges,
including
data
collection,
management,
discovery,
translation,
integration,
visualization,
communication.
As
an
emergent
technology,
sensor
networks
have
proven
efficiency
providing
geoinformation
for
any
decision
support
system
particularly
those
aiming
to
manage
hazardous
events.
Thanks
their
spatially
distributed
nature,
these
largely
deployed
collect,
analyze,
communicate
valuable
in-situ
spatial
information
a
timely
fashion.
Since
some
decisions
expected
taken
onthe-fly,
the
right
must
collected
by
set
sensors
at
time.
In
addition
saving
limited
resources
networks,
this
speed
up
usability
especially
if
is
provided
format.
order
boost
process,
thorough
understanding
use
semantics
available
heterogeneous
obviously
help
determine
what
how
confident
one
can
results
ultimately.
An
appropriate
representation
should
enhance
process.
Data
often
associated
with
information,
which
makes
it
voluminous
difficult
assimilate
human
being.
critical
situations,
hazard
manager
has
work
under
pressure.
Coping
such
demanding
task
may
increase
risk
error.
context,
Geosimulation
emerges
as
tool.
Indeed,
mapping
into
simulated
environment
takes
account
dimension
dramatically
easily
visualize
correlation
between
geospatial
constraints.
chapter,
we
first
present
fundamental
concepts
SDSS
most
important
challenges
related
development.
Second,
outline
network
technology
tool
leveraging
SDSS.
Third,
approach
another
keystone
part,
summarize
current
opportunities,
research
potential
benefits
technique
Finally,
better
efficiency,
propose
encoding
that
emphasizes
Sustinere Journal of Environment and Sustainability,
Год журнала:
2023,
Номер
6(3), С. 214 - 226
Опубликована: Март 28, 2023
Designing
an
industrial
location
must
be
based
on
consideration
of
factors
that
will
influence
it
such
as
natural,
environmental
and
ecological
conditions.
One
the
spatial-based
determination
methods
is
Spatial
Multi-Criteria
Evaluation
(SMCE).
This
study
aims
to
determine
suitable
areas
compare
locations
have
been
determined
Regional
Plan
(RTRW)
for
2010-2030
in
Kendari
City.
Industrial
flood-free,
located
a
relatively
flat
area,
far
from
settlements,
good
access
not
interfere
with
river’s
natural
function.
Therefore,
aspects
access,
hydrology,
physiography
convenience
were
all
taken
into
account
this
study.
The
area
Scenario
A
was
retested
B
C
get
variety
different
perspectives.
City’s
appropriate
2.462.36
ha
Puuwatu
Sub-District,
which
directly
connected
Mandonga
Sub-District
(scenario
2.C).
RTRW
map
model
shows
mismatch
proposed
placement.
results
can
used
alternative
decision-makers.
En
Argentina,
en
la
gran
mayoría
de
los
estamentos
gubernamentales,
tanto
a
escala
urbana
como
rural,
se
desconoce
qué
manera
varían
espacialmente
diferentes
parámetros
ambientales
y,
aquellos
casos
que
tienen
algunos
esbozos
cómo
distribuyen
ciertas
variables,
no
dispone
mecanismos
posibiliten
su
consideración
simultánea
para
toma
decisiones,
por
ejemplo,
el
área
del
ordenamiento
territorial
o
planificación
uso
tierra
teniendo
cuenta
fortalezas
y
debilidades
región.
Pero
además
las
típicas
cuestiones
localización
óptima
(de
barrios
residenciales,
industrias,
cementerios,
basureros,
etc.)
verían
notoriamente
mejoradas
caso
contar
con
bases
datos
digitales
organizadas
mapas
variación
espacial,
hay
otros
aspectos
vida
cotidiana
menos
importantes
citados,
también
podrían
verse
favorecidos
concretarse
tal
situación.
Justamente,
situación
problemática
observada
este
caso,
fue
determinación
valor
libre
mejoras,
escalas
rural
cada
partido
provincia
Buenos
Aires,
llevan
adelante
Comisiones
Asesoras
participan
Revalúo
Fiscal.
Los
integrantes
dichas
comisiones
eligen,
describen
examinan
variables
consideran
relevantes
dicho
objetivo
luego,
intentando
tener
simultáneamente
mente
proponen
valores
unidad
análisis.
Ante
esta
realidad
surge
pregunta:
¿no
habrá
una
subjetiva
automática
determinar
tierra?
Un
Sistema
Soporte
Decisiones
(SSD)
es
herramienta
asistida
computadora
posee
características
interactivas,
gráficas
modelación
analizar
buscar
solución
problemas
específicos
asistir
individuos
estudio
búsqueda
soluciones
sus
gestión.
Esto
posibilita
tomadores
decisiones
combinar
criterio
personal
salida
interfase
usuario-máquina
permite
producir
información
calidad
subsidiar
un
proceso
decisiones.
Esta
investigación
pretende
realizar
aporte
implementación
SSD,
esto
es,
aplicar
integración
entre
todos
componentes:
base
datos,
herramientas
evaluación
aplicación
modelos.
Por
otro
lado,
intentará
demostrar
metodología
muy
diversas:
(tomando
ciudad
Azul)
cuenca
arroyo
Azul).
Todo
fin
proveer
sean
útiles
al
momento
tengan
proponer
alternativas
gestión
administración
recursos
naturales
zona
estudio.
Pero,
precisamente,
esas
hagan
sobre
fehaciente
e
integral
conocimiento
ambiente;
eso
propuesta
evaluar
considerar
diversidad
conjuntamente
mismas.
SSD
ofrecen
capacidad
elaborar
decisión
partir
alfanumérica
geográficos,
así
modelar
procesos
análisis
espaciales
generar
nueva.
Balasubramanie
[18]
used
traditional
knowledge-based
tool
to
define
DSS.Williams
[28]
described
the
benefits
of
using
Ontologies
and
Argumentation
for
DSS.Suh
in
[25]
applied
Database
Management
System
(DBMS)
two-phased
decision
support
system
resource
allocation.To
best
our
knowledge,
there
is
no
one
particular
or
specific
method
handling
variability
as
a
knowledge
representation
technique
DSS.In
addition
representation,
proposed
could
be
u
s
e
d
t
o
l
w
i
h
m
n
c
g
such
as:
constraint
dependency
rules,
explanation,
propagation
delete-cascade,
logic
inconsistency
detection
dead
detection.Table
1
summarized
previous
works
validation
regarding
DSS.The
columns
are
denoted
following:
KR
Knowledge
Representation,
CDR
Constraint
Dependency
Rules,
Expl
Explanation,
Pro
DC
Propagation
LID
Logic
Inconsistency
Detection
DDD
Dead
Decision
Detection.
Significant
advances
in
public
participation
geographic
information
systems
technology
and
online
mapping
platforms
have
not
translated
into
enhanced
citizen
democratic
planning
processes.
This
study
contributes
to
addressing
this
gap
by
evaluating
the
engagement
of
members
an
urban
community
sustainable
neighbourhood
through
argumentation
mapping.
The
provided
discussion
forum,
together
with
a
map
which
participants
could
link
their
contributions.
On
basis
statistics,
contents
contributions,
responses
survey,
we
discuss
participants’
technical
experiences.
sixteen
registered
lived
within
or
near
‘Queen
West
Triangle’
downtown
Toronto,
Canada.
They
rated
themselves
as
experienced
computer
users
consequently
found
forum
be
easy.
contributions
showed
great
degree
interest
knowledge
issues
development.
However,
while
majority
also
comfortable
reading,
they
handling
difficult
did
use
option
comments
map.
<p>This
paper
explores
the
spatial
aspects
of
GIS-based
multi-criteria
evaluation.
We
provide
a
systematic
account
geographically
defined
decision
criteria
based
on
three
classes
relations:
location,
proximity,
and
direction.
also
discuss
whether
evaluation
score
alternative
should
be
directly
influenced
by
neighbouring
scores
outline
methodology
for
distance-based
adjustment
scores.
A
home
buyer
case
study
is
employed
to
demonstrate
how
can
included
in
support
system
investigate
effect
adjusting
alternatives.
The
demonstrates
presented
decision-makers
their
effects
observed
outcome.
Further,
using
performance
properties
smoothes
distribution
across
area
allows
consider
location’s
environment.
Keywords:
Multi-Criteria
Evaluation,
Residential
Real-Estate
Choice,
Spatial
Decision
Support
Systems,
Relations.
</p>
Significant
advances
in
public
participation
geographic
information
systems
technology
and
online
mapping
platforms
have
not
translated
into
enhanced
citizen
democratic
planning
processes.
This
study
contributes
to
addressing
this
gap
by
evaluating
the
engagement
of
members
an
urban
community
sustainable
neighbourhood
through
argumentation
mapping.
The
provided
discussion
forum,
together
with
a
map
which
participants
could
link
their
contributions.
On
basis
statistics,
contents
contributions,
responses
survey,
we
discuss
participants’
technical
experiences.
sixteen
registered
lived
within
or
near
‘Queen
West
Triangle’
downtown
Toronto,
Canada.
They
rated
themselves
as
experienced
computer
users
consequently
found
forum
be
easy.
contributions
showed
great
degree
interest
knowledge
issues
development.
However,
while
majority
also
comfortable
reading,
they
handling
difficult
did
use
option
comments
map.
International Journal of Geographical Information Systems,
Год журнала:
1996,
Номер
10(2), С. 219 - 236
Опубликована: Март 1, 1996
The
traditional
approach
in
DSS
falls
short
of
providing
a
highly
interactive
problem
solving
environment
for
planning.Often,
cumbersome
procedures
are
required
to
implement
optional
plans
and
obtain
feedback
information.In
dynamic
graphic
systems,
the
user
is
able
view
di
erent
linked
representations
(e.g.,
spatial
or
statistical
graphs)
data
interact
selecting
items)
with
these
graphics.In
this
paper
we
describe
design
planning
facility
locations,
which
uses
principles
graphics
achieve
environment.As
interacts
through
active
views.However,
where
views
given
dataset,
structures
describing
system
be
planned
from
perspectives.The
declarative
procedural
forms
knowledge
involved
identi®
ed
by
logical
analysis
problems.A
frame-based
formalism
proposed
represent
contained
views.The
main
advantage
view-based
that
it
o
ers
¯exible
performing
`what-if
'
analyses.
GI_Forum,
Год журнала:
2018,
Номер
1, С. 227 - 239
Опубликована: Янв. 1, 2018
Spatial
Decision
Support
Systems
(SDSS)
were
a
hot
topic
in
the
1990s,
when
researchers
tried
to
imbue
GIS
with
additional
decision
support
features.
Successful
practical
developments
such
as
HAZUS
or
CommunityViz
have
since
been
built,
based
on
commercial
desktop
software
and
without
much
heed
for
theory
other
than
what
underlies
their
process
models.
Others,
like
UrbanSim,
completely
overhauled
twice
but
external
scrutiny.
Both
theoretical
foundations
of
systems
developed
considerably
over
past
20
years.
This
article
presents
an
overview
these
then
looks
at
corresponding
tools
by
open
source
communities.
In
stark
contrast
abundance
OpenGeo
software,
there
is
dearth
SDSS.
The
core
discussion
different
approaches
that
lend
themselves
platforms
develop
framework
build
variety
Buku
Aplikasi
DSS
dalam
PW
ini
sebagai
implementasi
dari
teori/konsep
yang
sekaligus
pelengkap
untuk
memahami
substansi-substansi
materi
umum
secara
lebih
mendalam.
Penulisan
buku
salah
satu
produk
diharapkan
dapat
berkontribusi
pengembangan
keilmuan,
peningkatan
mutu
dan
kualitas
sumberdaya
manusia
baik
mahasiswa,
akademisi
maupun
masyarakat
umum.