dc.contributor.author |
Pawitan, Gandhi |
|
dc.date.accessioned |
2020-12-04T08:41:27Z |
|
dc.date.available |
2020-12-04T08:41:27Z |
|
dc.date.issued |
2009 |
|
dc.identifier.isbn |
978-602-95343-0-6 |
|
dc.identifier.other |
maklhsc549 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/11389 |
|
dc.description |
Makalah dipresentasikan pada The 5th IMT-GT International Conference on Mathematics, Statistics and Their Applications ICMSA 2009. Department of Mathematics Faculty of Mathematics and Natural Sciences Andalas University. Bukittinggi, 9-11 June 2009. p. 980-993. |
en_US |
dc.description.abstract |
This paper aims to formulate and explore a spatial distribution of the poverty index in Indonesia. Demombynes et al. (2002) noted that spatial distribution of poverty can be extremely valuable for government, nongovernmental organizations or multilateral institutions that want to strengthen the impact of their poverty programme. The government can use poverty maps to guide the development of the programs or policy in reaching the poor.
The semivariogram models are developed to portray spatial distribution at each level. Some interesting results come out from this study, one of them is the nugget and range of the semivariogram model may give a direction of understanding spatial distribution at the unobserved scale, for example subdistrict level. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Mathematics Faculty of Mathematics and Natural Sciences Andalas University |
en_US |
dc.subject |
POVERTY MEASUREMENT |
en_US |
dc.subject |
SPATIAL AUTOCORRELATION |
en_US |
dc.subject |
SEMIVARIOGRAM MODEL |
en_US |
dc.title |
Comparing spatial distribution of the poverty index in two different scale : an Indonesian case study |
en_US |
dc.type |
Conference Papers |
en_US |