关于孟加拉国识字率的全球和地方空间数据挖掘

2011 10th IEEE/ACIS International Conference on Computer and Information Science Pub Date : 2011-05-16 DOI:10.1109/ICIS.2011.27

R. Rahman, Mridul Khan, A. K. M. Zahiduzzaman, Nahyan Kashem

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引用次数: 1

摘要

本研究调查了孟加拉国的识字率和教育机构在齐拉水平的空间特性。数据来自孟加拉国被称为齐拉的64个明确界定的行政单位。对于自相关，我们使用单变量Moran's I和其他各种双变量探索性空间数据分析(ESDA)技术。有Zilas的空间集群被识字率高的Zilas所包围。这项研究的结果为政府、环保人士和相关决策者在评估特定地理区域的相对表现时提供了有趣和有用的信息。结果也可用于领域专家的因果分析。

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Global and Local Spatial Data Mining on Literacy Rates of Bangladesh

This research investigates the spatial properties of Bangladesh's literacy rates and educational establishments at the Zila level. The data is from the 64 well defined administrative units of Bangladesh known as Zilas. For autocorrelation we use univariate Moran's I and other various bivariate Exploratory Spatial Data Analysis (ESDA) techniques. Spatial clusters are found with Zilas that are surrounded with Zilas with high literacy rates. The results found from this research provide interesting and useful information to government, environmentalists and relevant decision makers' in the assessment of the relative performance of a particular geographic area. The results could also be used for causal analysis by domain experts.

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2011 10th IEEE/ACIS International Conference on Computer and Information Science

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