A flexibly shaped spatial scan statistic for detecting poverty hotspot
D M A SEPTIANI. A Rexlibty Shaped Sparial Scan Srmistic for h t e d n g PoHotrpob. Unher
the directiao of ASEP SAEFUDDIN and BAGUS SARTONO.
Poverty always becomes tbe crucial and complex problem -mideveloping countries.
Government conduds an-verty
policies for r e d u c i h v m . If p o v e r t y e o n is elrpeaed
to atocebd, there must be welU-founded approach :and wideqreacl-suppok Any approach and
active paJticiption of numerws parties will be no use if it is oot supported by progyms that are
wellphned, e x c a d in stags and sustainable? Poverty hotspot detection is very lrsefid to
provide earty stage to condua p h m h g strategy for poverty &&on.
pro*
by
T
ango and Takdtashi
In this research, a flexibly shaped sparial scan
is an approach for detecting geogqbical hotspots @at allow flmiility m shape. This scao
imposes an arbitrary shaped w i d o w with rllaximum le&ctuster K. Tbe test statistic is
on Likelihood ratio test lmder Poisson asnrmptioa and evaluated us& Monte Carlo
Fk"""%
The object of this rescach is Bogor, which is divided into 493 dhges.
P As the resub, 34 significant hotspots are deteded among 91 hotrpot candidates at significance
&el a = 0.05 and K = 15. Tbese significant poverty hotspots consist of 199 vdlags in Bogor.
is w geqpphical overtap among all rcpoTted hotspots. The MLC that gaias the highst log
Belihood ratio, in povesty hotspots cnappmg, is concentrated in the western of Bogor.
m
p o d : Hoapn, Poverty, F
'
l
m
i
b
t
yrhtpd spdd scan slalktic.
I
.
.+
S
P
zz.
PI
s
?!
cCI
P
the directiao of ASEP SAEFUDDIN and BAGUS SARTONO.
Poverty always becomes tbe crucial and complex problem -mideveloping countries.
Government conduds an-verty
policies for r e d u c i h v m . If p o v e r t y e o n is elrpeaed
to atocebd, there must be welU-founded approach :and wideqreacl-suppok Any approach and
active paJticiption of numerws parties will be no use if it is oot supported by progyms that are
wellphned, e x c a d in stags and sustainable? Poverty hotspot detection is very lrsefid to
provide earty stage to condua p h m h g strategy for poverty &&on.
pro*
by
T
ango and Takdtashi
In this research, a flexibly shaped sparial scan
is an approach for detecting geogqbical hotspots @at allow flmiility m shape. This scao
imposes an arbitrary shaped w i d o w with rllaximum le&ctuster K. Tbe test statistic is
on Likelihood ratio test lmder Poisson asnrmptioa and evaluated us& Monte Carlo
Fk"""%
The object of this rescach is Bogor, which is divided into 493 dhges.
P As the resub, 34 significant hotspots are deteded among 91 hotrpot candidates at significance
&el a = 0.05 and K = 15. Tbese significant poverty hotspots consist of 199 vdlags in Bogor.
is w geqpphical overtap among all rcpoTted hotspots. The MLC that gaias the highst log
Belihood ratio, in povesty hotspots cnappmg, is concentrated in the western of Bogor.
m
p o d : Hoapn, Poverty, F
'
l
m
i
b
t
yrhtpd spdd scan slalktic.
I
.
.+
S
P
zz.
PI
s
?!
cCI
P