International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-4/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 325–337, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-325-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 325–337, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-325-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Oct 2018

30 Oct 2018

VOTERS’ PERCEPTION TOWARDS POLITICAL PARTY: A GEOSPATIAL CASE STUDY OF YOUNG VOTERS IN JOHOR BAHRU

N. Ismail1, M. F. Abdul Khanan1, M. Z. Abdul Rahman1, A. H. M. Din1, Z. Ismail1, and A. N. Abdul Razak2 N. Ismail et al.
  • 1Faculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • 2Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

Keywords: Election, electoral geography, youth voters, political geography, GIS and spatial analysis

Abstract. The application of Geographic Information System (GIS) and election is a study that stresses geospatial aspects which gives support to election boundaries, election information management system along with GIS analysis in election boundaries. This article, as a concept, explains the role and function of GIS and geopolitics as an introduction to examine the election pattern in Malaysia. This study was aimed at understanding the issue that influenced youth voters in DUN Nusajaya to cast their votes in General Election, thus charting new strategies for future election. In doing so, nine issues are carefully selected and analysed from a geographical perspective by using GIS method. Socio-demographic data, issues influenced and assessment of state political figure, are used to explore geographic variability in relationships between each variable at a detailed spatial level. Spatial analysis using geographically weighted regression (GWR) was employed, which enables the investigation of local variations in voting patterns. The results demonstrate that assessment of state political figures do vary over geographic space and some of the variables that are traditionally assumed affect certain locations.