基于gis的尼日利亚阿南布拉州模块化水稻集聚中心优化选址研究

``Charles Obiora Nwajinka, Chukwunonso Divine Okpala, Nneka Jane Ogbuagu, Esom Chisom Igbokwe
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引用次数: 0

摘要

在这项研究中,试图评估该州现有水稻聚集中心(RAC)的数量和位置的充分性,并使用地理信息系统(GIS)方法在尼日利亚阿南布拉州的八个农业区提出最佳数量及其位置。该方法涉及空间决策,通过使用遥感数据提供所需的光谱和空间信息,为水稻聚集中心的选择标准生成信息层,从而处理大量可行的备选方案。该研究发现了13个地点符合水稻聚集中心位置的所有坐姿标准。结果表明,除了现有的4个中心外,还将为Ayamelum分配两个地点,从而使其总数达到6个聚集中心,平均距离为2.8km。阿南布拉东部有一个聚集中心,分配了两个聚集中心,平均距离水稻农场2.65公里。以前没有聚集中心的阿南布拉西部被分配了一个平均距离为2公里的聚集中心。Awka North还分配了两个聚集中心,平均距离水稻农场3.3公里。以前没有中心的Orumba South被提议建立一个聚集中心,平均距离水稻农场4.1公里。以前没有中心的Orumba北部被分配了两个聚集中心,平均距离水稻农场3.4公里。Ihiala没有聚集中心,但分配了一个聚集中心,平均距离水稻农场3.6公里。Ogbaru以前有一个聚集中心,但现在又分配了一个聚集中心,平均距离水稻农场3.8公里。这些结果表明,基于gis的定位模型可以成功地用于定位农产品聚集中心等农业服务中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Optimized Locations for Modular Rice Paddy Aggregation Centres in Anambra State, Nigeria by GIS-Based Approach
In this study an attempt was made to appraise the adequacy of the existing number and Locations of Rice aggregation centres (RAC) in the state and propose optimal numbers and their locations in the eight agricultural zones of Anambra state, Nigeria using Geographic Information System (GIS) methodology. This method involves spatial decision, which deals with a large set of feasible alternatives through the use of remotely sensed data in providing the required spectral and spatial information for generating information layers for rice aggregation centres selection criteria. The study discovered thirteen sites fulfilling all sitting criteria for location of rice aggregation centres. The results propose that two locations be allotted to Ayamelum in addition to the 4 existing centres, thereby bringing it to a total of 6 aggregation centres with a mean distance of 2.8km. Anambra East which had one aggregation centre was allocated 2 aggregation centres with a mean distance of 2.65km from the rice farms. Anambra West which previously had no aggregation centre was allocated one aggregation centre with a mean distance of 2km. Awka North was also allocated two aggregation centres with a mean distance of 3.3km from the rice farms. Orumba South which previously had no centre was proposed one aggregation centre with a mean distance of 4.1km from the rice farms. Orumba North which previously had no centre was allocated two aggregation centres with a mean distance of 3.4km from the rice farms. Ihiala, had no aggregation centre but was allocated 1 aggregation centre which has a mean distance of 3.6km from the rice farms. Ogbaru previously had one aggregation centre but was allocated 1 more aggregation centre with a mean distance of 3.8km from the rice farms. These results have shown that GIS-based location modelling can be successfully used in locating agro-service centres such as products aggregation centres.  
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