摘要
栅格数据在土地综合评价中优势明显,能够快速融合多源数据,适宜研究空间结构不确定、关系复杂的土地问题。本文选取转换尺度区间10～200m,以10m为间隔对研究区进行矢量数据栅格化,利用最大面积值选择法RMA及中心属性值选择法RCC对研究区的土地利用现状图的矢量地类信息进行整合提取,并对结果进行精度评估及分析。研究结果表明,随着栅格尺度增加,RCC方法下区域整体面积损失趋势线围绕0值上下波动,RAM方法下面积损失呈明显负增长。选取0.10%、0.30%、0.50%、1.00%、1.50%精度损失为临界值,各类型图斑的最大允许转化尺度随精度减小而增大。在相同转化尺度下,面积碎化指数、面积周长比越大的图斑类型,面积误差绝对值越小。
Raster data has obvious advantages in comprehensive land evaluation and can quickly integrate multi-source data.It is suitable for studying land issues with uncertain spatial structure and complex relationships.This paper selects the conversion scale interval 10～200 m,and rasterizes the vector data in the study area at 10 mintervals,uses the rule of maximum area(RMA)and the rule of centric cell(RCC)to extract the vector information of the land use status map in the study area,and the results are evaluated and analyzed accately.Research indicates,with the increase of grid scale,the area-wide area loss trend line under the RCC method fluctuates around the zero value,and the area loss under the RAM method shows a significant negative growth.Selecting 0.10%,0.30%,0.50%,1.00%, and 1.50% accuracy loss as the critical value,the maximum allowable transformation scale of each type of map spot increases with the decrease of precision.Under the same transformation scale,if the area fragmentation index and the area circumference ratio are larger,then the area error absolute value is smaller.
