1) spatial cluster grouping
空间聚簇分组
1.
In order to solve this problem,k-even algorithm is introduced and the sum of overlap and overlay volume is employed as the grouping criterion,which improve the spatial cluster grouping and R-tree insertion algorithms,and therefo.
利用k-均值算法和覆盖体积与重叠体积之和作为分组的综合指标,改进了现有的三维空间聚簇分组和R树插入算法。
2) spatio-temporal partition clustering
时空分区聚簇
3) Spatio-temporal Cluster
时空聚簇
4) spatial clustering analysis
空间聚类分析
1.
On this basis,the spatial clustering analysis was done to identify and delimitate the zoning boundary of ecosystem services in the Poyang Lake area and the ecosystem services of each district was spatially identified.
在此基础上,通过空间聚类分析,形成了鄱阳湖湖区生态系统服务功能分区,实现了各分区单元上生态系统服务功能的空间辨识。
2.
Model of spatial clustering analysis algorithm is offered,and parameters models are built,such as spatial relational matrix,traffic correlation.
分析了空间聚类分析算法的模型,对空间关联矩阵、交通关联度等参数进行建模,设计了交通小区划分的流程与算法,最后结合上海市浮动车数据与实际交通网络,实现了路网交通小区的自动划分并得出了结论。
6) contents and special distribution
组成及空间分布
补充资料：簇簇
1.一丛丛;一堆堆。 2.丛列成行貌。 3.衣衫鲜明整洁貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条