Exploring spatial data uncertainties in land‐use change scenarios     

N. Dendoncker  C. Schmit  M. Rounsevell 《International journal of geographical information science》2013,27(9):1013-1030

This paper evaluates errors and uncertainties in representing landscapes that arise from different data rasterization methods, spatial resolutions, and downscaled land‐use change (LUC) scenarios. A vector LU dataset for Luxembourg (minimum mapping unit: 0.15 ha; year 2000) was used as the baseline reference map. This map was rasterized at three spatial resolutions using three cell class assignment methods. The landscape composition and configuration of these maps were compared. Four alternative scenarios of future LUC were also generated for the three resolutions using existing LUC scenarios and a statistical downscaling method creating 37 maps of LUC for the year 2050. These maps were compared in terms of composition and spatial configuration using simple metrics of landscape fragmentation and an analysis of variance (ANOVA). Differences in landscape composition and configuration between the three cell class assignment methods and the three spatial resolutions were found to be at least as large as the differences between the LUC scenarios. This occurred in spite of the large LUC projected by the scenarios. This demonstrates the importance of the rasterization method and the level of aggregation as a contribution to uncertainty when developing future LUC scenarios and in analysing landscape structure in ecological studies.  相似文献   

多曲线求交的批量解法   总被引：4，自引：0，他引：4  

乔彦友  武红敢 《测绘学报》1997,26(1):47-51

本文提出了求解大量曲线交点的一种批量解法，在该算法运行时，将首先应用矢量栅格化方法探测可能相交的曲线和交点的大致位置，然后从这些结果出发经数学运算得到精确的曲线交点，从而减少了曲线求交的计算量。本算法可提高地理信息系统及计算机制图系统中矢量数据求交运算的速度，从而增强它们的数据处理能力。  相似文献