马来西亚的降雨量和Kalumpang农业站数据用于分散的数据插值
Samsul Ariffin Abdul Karim1,2, Owen Tamin3
1Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400, Sabah, Malaysia.
Data in brief
|September 17, 2024
概括
本研究介绍了经过处理的马来西亚降雨和地形数据集,用于分散的数据插值. 这些数据集增强了环境和气象分析,使得更精确的建模和可视化.
科学领域:
- 环境科学 环境科学
- 地理空间分析是什么
- 气象学 天气学
背景情况:
- 分散数据的插值对于环境,地理空间和气象分析至关重要.
- 它允许从已知的数据点估计未知值,这对于从离散数据创建连续表面至关重要.
- 环境事件的精确模型和可视化依赖于这种技术.
研究的目的:
- 呈现经过处理的马来西亚降雨和地形数据集,用于分散的数据插值.
- 通过使用这些初级数据集,促进环境和气象分析研究.
- 通过提供可访问的数据来推进分散数据插值技术.
主要方法:
- 利用马来西亚气象站 (马来西亚灌和排水部门) 的详细降雨数据.
- 纳入Selangor Kalumpang (农业站) 的地形数据.
- 在微软Excel,MATLAB和Python中处理和准备可访问的数据集.
主要成果:
- 提供原始和预处理的马来西亚降雨和地形数据集.
- 数据集已准备好,以便方便访问和进一步研究,包括机器学习应用.
- 促进全面分析以了解当地气候和地形变化.
结论:
- 提出的数据集对于推进分散数据插值技术至关重要.
- 这些数据集的可访问性支持进一步的环境和气象建模研究.
- 该研究克服了数据收集的局限性,提供了经过仔细处理和准备的数据.
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