Election Result Prediction using Spatial Statistical Method
R. Vinodha1, R. Parvathi2
1R. Vinodha, Department of Computing Science and Engineering, Vellore Institute of Technology, Chennai (Tamil Nadu), India.
2R. Parvathi, Department of Computing Science and Engineering, Vellore Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 22 August 2019 | Revised Manuscript received on 03 September 2019 | Manuscript Published on 16 September 2019 | PP: 838-843 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B11550782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1155.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Since 17th Century, Modern representative democracy in all forms is being made possible by having a formal way of collecting people’s overall opinion on who is to be chosen as their representative. Election is a most important event in any democratic country. Confronting on predicting the winning person/party in the election is the biggest challenge here. In this paper, a study of spatial statistics method to predict the election result using the exploratory data analysis is carried out by applying spatial statistical methods. The paper presents, prediction of the election result with respect to the income level of the citizen and also a comparison of results obtained from the different statistical methods.
Keywords: Geogaphic Information System, Residual Auto-Correlation, Spatial Regression, Spatial Statistical Methods.
Scope of the Article: Regression and Prediction