基于幾何代數(shù)的GIS計算模型研究
發(fā)布時間:2018-08-21 13:05
【摘要】:正空間分析是地理信息系統(tǒng)(GIS)的核心功能,也是GIS深化應用與服務的重要支撐。現(xiàn)有空間數(shù)據(jù)分析方法在多維對象的自適應表達、空間數(shù)據(jù)的統(tǒng)一分析以及多維統(tǒng)一分析框架的構建方面仍顯不足,無法滿足海量、高維度、多要素的密集型GIS空間數(shù)據(jù)的分析需求。引入幾何代數(shù)的多維表達結構及統(tǒng)一運算結構,從底層理論上對現(xiàn)有表達與計算方法進行創(chuàng)新,設計面向多維度、多要素復雜數(shù)據(jù)的計算模型,是突破傳統(tǒng)GIS分析方法
[Abstract]:Positive spatial analysis is the core function of (GIS), and it is also an important support for deepening the application and service of GIS. The existing spatial data analysis methods are still insufficient in the adaptive expression of multi-dimensional objects, unified analysis of spatial data and the construction of multi-dimensional unified analysis framework. Multiple elements of intensive GIS spatial data analysis requirements. This paper introduces the multidimensional representation structure and unified operation structure of geometric algebra, innovates the existing representation and calculation methods from the bottom theory, and designs a multi-dimensional and multi-element complex data model, which breaks through the traditional GIS analysis method.
【作者單位】: 南京師范大學虛擬地理環(huán)境教育部重點實驗室;
【基金】:國家自然科學重點基金(41231173) 國家自然科學基金(41171300)
【分類號】:P208
,
本文編號:2195824
[Abstract]:Positive spatial analysis is the core function of (GIS), and it is also an important support for deepening the application and service of GIS. The existing spatial data analysis methods are still insufficient in the adaptive expression of multi-dimensional objects, unified analysis of spatial data and the construction of multi-dimensional unified analysis framework. Multiple elements of intensive GIS spatial data analysis requirements. This paper introduces the multidimensional representation structure and unified operation structure of geometric algebra, innovates the existing representation and calculation methods from the bottom theory, and designs a multi-dimensional and multi-element complex data model, which breaks through the traditional GIS analysis method.
【作者單位】: 南京師范大學虛擬地理環(huán)境教育部重點實驗室;
【基金】:國家自然科學重點基金(41231173) 國家自然科學基金(41171300)
【分類號】:P208
,
本文編號:2195824
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