A Multidimensional Data Model for Analysis of Agricultural Soil Characteristics

IF 2.6 3区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.23

C. Rădulescu

引用次数: 2

Abstract

A multidimensional data model for the analysis of soil properties is built. An analysis of it is performed using OLAP (on-line analytical processing) operations. A risk measure for soil quality assessment (based on the upper partial moment) is introduced in the multidimensional data model.

查看原文本刊更多论文

农业土壤特征分析的多维数据模型

建立了用于土壤性质分析的多维数据模型。使用联机分析处理(OLAP)操作对其进行分析。在多维数据模型中引入了基于上部弯矩的土壤质量评价风险测度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Systems Science & Complexity 数学-数学跨学科应用

CiteScore

3.80

自引率

9.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.