The proceeds and the paraneferia of office enjoyed by the
Executives and the Legislatures in Nigeria can never be compared with other
clients all over the world that have been practicing constitutional democracy
for centuries. That is why, the political elites involve themselves in all
sorts of elections maleficent to perpetuate themselves in office by introducing
twisted policies to subvert the will of the electorates. According to NSGIC's
Geo-Enabled Elections project 2017-2019, transiting from the un-verifiable
election method to a Geographic Information System (GIS), elections management
requires a sound plan, effort and resolve. The inherent technical capacity of
GIS visualization and analytical advantages involves replacing non-spatial
'voter's address file' systems with election district and voter location data
in a GIS format. But in practice, it requires some additional investment,
technology and resolves to answer the most frequently asked question from the
electorates 'Does the election management body (INEC) in Nigeria know the
geographic locations of their voters'?. This task of course requires relentless
efforts from INEC and building the staff capacities and having synergy with
relevant or sister organizations for data standards, exchange and metadata
development. The file geo-database of point attribute data set of all eligible
voters in the study was exported to ArcMap of ArcGIS into the geo-coder, where
parameters were set for both urban and rural voters' proximity at the prompt of
file geo-dBase. The implicit operations of the geocoder's algorithm generate
the result on a spreadsheet format (.xlsx) revealing the name of each voter,
the demographic characteristics, location (in terms of latitude and longitude)
and shortest or nearest voting point. This reduces to a great extent multiple
voting, and voter apathy and helps INEC plan effectively.
Author(s)
Details:
Isa Agaie Dawodu
Department
of Geo-informatics and Surveying, Faculty of Environmental Studies, University
of Nigeria, Enugu Campus (UNN), Nigeria.
Francis
Ifeanyi Okeke
Department of
Geo-informatics and Surveying, Faculty of Environmental Studies, University of
Nigeria, Enugu Campus (UNN), Nigeria.
Mubarak
Umar Faruk
Department of
Geo-informatics and Surveying, Faculty of Environmental Studies, University of
Nigeria, Enugu Campus (UNN), Nigeria.
Yusuf
Ibrahin Kuriwa
Department of
Geo-informatics and Surveying, Faculty of Environmental Studies, University of
Nigeria, Enugu Campus (UNN), Nigeria.
Please see the book here: https://doi.org/10.9734/bpi/cpassr/v1/169
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