The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin

Politics is the important activity of organized life in society. The geography for political campaigns accentuates and reinforce. Socio political phenomena will be easily understood of spatial relationship. It can use political mapping units as a base mapping in statistics. This study will use the G...

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Main Author:	Jamaludin, Nazihah
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Geographic information systems Demographic surveys Political geography. Geopolitics
Online Access:	http://ir.uitm.edu.my/id/eprint/21244/ http://ir.uitm.edu.my/id/eprint/21244/1/TD_NAZIHAH%20JAMALUDIN%20AP%20R%2015_5.pdf

id	uitm-21244
recordtype	eprints
spelling	uitm-212442018-10-30T02:59:38Z http://ir.uitm.edu.my/id/eprint/21244/ The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin Jamaludin, Nazihah Geographic information systems Demographic surveys Political geography. Geopolitics Politics is the important activity of organized life in society. The geography for political campaigns accentuates and reinforce. Socio political phenomena will be easily understood of spatial relationship. It can use political mapping units as a base mapping in statistics. This study will use the Geographically Weighted Regression (GWR) to exploratory spatial data analysis. This is because the plane parameter use to affect the important parameter, but same weighted. The aim of this study is to investigate pattern of political geography in North Region. This study for this research is at Kedah state because it the suitable plan to politics in GIS. The data are using in this study are election results, demography data and population income using. The methodology to process the data by using Geographically Weighted Regression (GWR) model in the ArcGIS software. GWR will construct separate equation for every feature dataset incorporating the dependent variable. It predicts every feature dataset by regression decision. The result can interpret nonstationarity in the local parameter estimates to visualize of data display. In conclusion, the map will help Election Commission of Malaysia to investigate the more factors contributing to voters in order to effectively manage and arrange strategy in politics Malaysia. It will improve the productivity mapping of political geography. 2018-08-15 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21244/1/TD_NAZIHAH%20JAMALUDIN%20AP%20R%2015_5.pdf Jamaludin, Nazihah (2018) The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Geographic information systems Demographic surveys Political geography. Geopolitics
spellingShingle	Geographic information systems Demographic surveys Political geography. Geopolitics Jamaludin, Nazihah The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
description	Politics is the important activity of organized life in society. The geography for political campaigns accentuates and reinforce. Socio political phenomena will be easily understood of spatial relationship. It can use political mapping units as a base mapping in statistics. This study will use the Geographically Weighted Regression (GWR) to exploratory spatial data analysis. This is because the plane parameter use to affect the important parameter, but same weighted. The aim of this study is to investigate pattern of political geography in North Region. This study for this research is at Kedah state because it the suitable plan to politics in GIS. The data are using in this study are election results, demography data and population income using. The methodology to process the data by using Geographically Weighted Regression (GWR) model in the ArcGIS software. GWR will construct separate equation for every feature dataset incorporating the dependent variable. It predicts every feature dataset by regression decision. The result can interpret nonstationarity in the local parameter estimates to visualize of data display. In conclusion, the map will help Election Commission of Malaysia to investigate the more factors contributing to voters in order to effectively manage and arrange strategy in politics Malaysia. It will improve the productivity mapping of political geography.
format	Thesis
author	Jamaludin, Nazihah
author_facet	Jamaludin, Nazihah
author_sort	Jamaludin, Nazihah
title	The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
title_short	The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
title_full	The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
title_fullStr	The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
title_full_unstemmed	The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin
title_sort	political geography of voter's preference in north region by : geographically weighted regression [gwr] / nazihah jamaludin
publishDate	2018
url	http://ir.uitm.edu.my/id/eprint/21244/ http://ir.uitm.edu.my/id/eprint/21244/1/TD_NAZIHAH%20JAMALUDIN%20AP%20R%2015_5.pdf
first_indexed	2023-09-18T23:06:10Z
last_indexed	2023-09-18T23:06:10Z
_version_	1777418497123418112

The political geography of voter's preference in north region by : geographically weighted regression [GWR] / Nazihah Jamaludin

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