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Comparing spatial distribution of the poverty index in two different scale : an Indonesian case study

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.

Ketersediaan

Informasi Detail

Judul Seri

No. Panggil

-

Penerbit

Bukittinggi : Department of Mathematics Faculty of Mathematics and Natural Sciences Andalas University., 2009

Deskripsi Fisik

p. 980-993

Bahasa

English

ISBN/ISSN

-

Klasifikasi

-

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

POVERTY MEASUREMENT
SPATIAL AUTOCORRELATION
SEMIVARIOGRAM MODEL

Info Detail Spesifik

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.

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Gandhi Pawitan

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