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Dataset on spatial distribution and location of universities in Nigeria
Access to quality educational system, and the location of educational institutions are of great importance for future prospect of youth in any nation. These in return, have great effects on the economy growth and development of any country. Thus, the dataset contained in this article examines and ex...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998750/ https://www.ncbi.nlm.nih.gov/pubmed/29904662 http://dx.doi.org/10.1016/j.dib.2018.04.093 |
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author | Adeyemi, G.A. Edeki, S.O. |
author_facet | Adeyemi, G.A. Edeki, S.O. |
author_sort | Adeyemi, G.A. |
collection | PubMed |
description | Access to quality educational system, and the location of educational institutions are of great importance for future prospect of youth in any nation. These in return, have great effects on the economy growth and development of any country. Thus, the dataset contained in this article examines and explains the spatial distribution of universities in the Nigeria system of education. Data from the university commission, Nigeria, as at December 2017 are used. These include all the 40 federal universities, 44 states universities, and 69 private universities making a total of 153 universities in the Nigerian system of education. The data analysis is via the Geographic Information System (GIS) software. The dataset contained in this article will be of immense assistance to the national educational policy makers, parents, and potential students as regards smart and reliable decision making academically. |
format | Online Article Text |
id | pubmed-5998750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59987502018-06-14 Dataset on spatial distribution and location of universities in Nigeria Adeyemi, G.A. Edeki, S.O. Data Brief Decision Sciences Access to quality educational system, and the location of educational institutions are of great importance for future prospect of youth in any nation. These in return, have great effects on the economy growth and development of any country. Thus, the dataset contained in this article examines and explains the spatial distribution of universities in the Nigeria system of education. Data from the university commission, Nigeria, as at December 2017 are used. These include all the 40 federal universities, 44 states universities, and 69 private universities making a total of 153 universities in the Nigerian system of education. The data analysis is via the Geographic Information System (GIS) software. The dataset contained in this article will be of immense assistance to the national educational policy makers, parents, and potential students as regards smart and reliable decision making academically. Elsevier 2018-05-01 /pmc/articles/PMC5998750/ /pubmed/29904662 http://dx.doi.org/10.1016/j.dib.2018.04.093 Text en © 2018 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Decision Sciences Adeyemi, G.A. Edeki, S.O. Dataset on spatial distribution and location of universities in Nigeria |
title | Dataset on spatial distribution and location of universities in Nigeria |
title_full | Dataset on spatial distribution and location of universities in Nigeria |
title_fullStr | Dataset on spatial distribution and location of universities in Nigeria |
title_full_unstemmed | Dataset on spatial distribution and location of universities in Nigeria |
title_short | Dataset on spatial distribution and location of universities in Nigeria |
title_sort | dataset on spatial distribution and location of universities in nigeria |
topic | Decision Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998750/ https://www.ncbi.nlm.nih.gov/pubmed/29904662 http://dx.doi.org/10.1016/j.dib.2018.04.093 |
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