A Comparison of GTWR and Robust GTWR Modelling

Authors(3) :-Gustriza Erda, Indahwati, Anik Djuraidah

The family planning program is one of the programs carried out by the government in order to reduce the rate of population growth, improve the quality of maternal and child health, which in turn is expected to produce quality human beings. One indicator to measure the success of a family planning program is through the number of active KB participants. This study uses GTWR and RGTWR to model the number of family planning participants in East Java in 2009-2016. From the research conducted, it is shown that RGTWR produces better modeling because it produces parameter estimators that are more in line with the actual data and data plot and have a smaller MAD value.

Authors and Affiliations

Gustriza Erda
Statistics, Bogor Agricultural University, Bogor, Indonesia
Indahwati
Statistics, Bogor Agricultural University, Bogor, Indonesia
Anik Djuraidah
Statistics, Bogor Agricultural University, Bogor, Indonesia

Family Planning Program, GTWR, MAD, Robust GTWR

  1. [BPS] Central Bureau Statistics of Indonesia. (2009-2016). East Java Province in Figure. East Java (ID): BPS
  2. Winarso K, Yasin H. (2016). Modeling of air pollution standard index with a mixed geographical temporall weighted regression approach (MGTWR). [dissertation]. Surabaya (ID). University of Airlangga
  3. Fotheringham AS, Crespo R, Yao J. (2015). Geographically and temporal weighted regression (GTWR). Geographical Analysis. The Ohio State University: 1-22.
  4. Huang B, Wu B, Barry M. (2010). Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices. International Journal of Geographical Information Science. 24 (3): 383-401.
  5. Sholihin M. (2018). The development of geographic and temporal weighted regression uses the interaction of temporal spatial distance; case study GDP in Central Java. [thesis]. Bogor (ID). Bogor Agricultural University
  6. [Dinkes] Health Office. (2009-2016).East Java Province Health Profile. East Java (ID) : Dinkes
  7. Wang P. (2006) Exploring Spatial Effects on Housing Price: The Case Study of The City of Calgary. Canada. University of Calgary

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 453-457
Manuscript Number : IJSRSET184993
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Gustriza Erda, Indahwati, Anik Djuraidah, " A Comparison of GTWR and Robust GTWR Modelling, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.453-457, July-August-2018.
Journal URL : http://ijsrset.com/IJSRSET184993

Article Preview

Follow Us

Contact Us