高等教育机构对尼日利亚埃克波马镇空间扩展的影响

Jolly Osaretin Egharevba, Godspower Oseaga Oseyomon
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引用次数: 0

摘要

本研究旨在探讨教育机构对埃克波马镇时空增长的影响。研究探讨了高等院校对其所在地的 "城市增长 "影响。埃克波马镇的陆地卫星图像被下载并导入 ArcGIS 软件 ArcMap 10.8,对数据集进行了监督最大似然分析。多元线性回归用于确定各大学校园对各区空间扩展的贡献率,线性回归分析用于确定非洲大学校园空间密集化对埃克波马镇空间扩展的贡献率。关注的土地利用类型是建成区。该镇被划分为三个区域,每个区域都有一个大学校园。A 区为安布罗斯-阿里大学主校区,B 区为医学院,C 区为 Emuado 校区。结果表明,非洲农业大学校园的空间密集度与埃克波马镇的空间扩张之间存在很强的正线性关系,R2 值为 0.986。这意味着校园每密集 1 平方公里,埃克波马镇的空间扩张就会增加 32.030 平方公里。因此,根据回归模型预测,到 2043 年,埃克波马镇的空间范围将达到 67.9462 平方公里。这些研究结果对于指导现有的土地利用和城市规划实践很有价值。了解城市扩张的复杂动态将有助于该镇未来实现可持续和有弹性的增长,避免该镇城市发展举措中可能出现的陷阱。
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Impact of tertiary educational institution on the spatial expansion of Ekpoma town, Nigeria
This study seeks to address the relational impact of educational institution on the spatiotemporal growth of Ekpoma town. It examines the “urban growth” effects that the tertiary institution has on its site location. Landsat Imageries of Ekpoma town were downloaded and imported into ArcGIS software ArcMap 10.8, where the Supervised Maximum Likelihood Analysis was carried out on the datasets. Multiple linear regression was used to determine the rate of contribution of the various university campuses to the spatial expansion of each zone and linear regression analysis was used to determine the rate of contribution of the spatial densification of AAU campuses to the spatial expansion of Ekpoma town. The Land-use type of interest was the built-up areas. The town was delineated into three zones, each with a University campus. Zone A has the Main Ambrose Alli University (AAU) Campus, College of Medicine in Zone B, and Emuado campus in Zone C. The land use classification analysis was performed for the university campuses and Ekpoma town, for the years 1987, 2002, and 2023. The result shows that there is a strong positive linear relationship between the spatial densification of AAU campuses and the spatial expansion of Ekpoma town, with an R2 value of 0.986. This implies that for every 1km2 densification of the campuses, there is an increase of 32.030km2 in the spatial expansion of Ekpoma town. Thus, it was projected using the regression model that by the year 2043, the spatial extent of Ekpoma town would be 67.9462 km2. These findings are valuable for informing existing land use and urban planning practices. Understanding the complex dynamics of urban expansion would help create a sustainable and resilient growth of the town in the future, avoiding possible pitfalls in urban development initiatives in the town.
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