摘要
空间数据"连续"表达是多尺度表达与变换的理想状态。针对多尺度表达与变换中地理要素的不同几何形态和生命期特点,建立了动静态结合的尺度变换模型。通过空间数据匹配技术,根据生命期不同,将空间数据分为匹配数据和消亡数据。对于匹配数据,通过综合算法生成关键比例尺插值数据,并预先静态存储;对于消亡数据,依据重要程度的顺序统计量,动态"选取、化简"生成插值尺度数据。实验表明该方案可以缓解传统尺度变换的跳跃感问题,变换效率高,可以快速、动态实现连续的尺度变换。
Continuous spatial representation is the ideal of multi-representation and transformation. With the spirit of static and dynamic binding, an adaptive scale transformation model was established. Considering different geometry deformation and lifespan, spatial data was divided into matching data and disappearing data by spatial match.For matching data, critical scale was produced and stored statically in advance by generalization algorithms. Disappearing data was organized by multi-scale R tree and dynamically produced by selection and simplification according to significance. Experiments showed that this approach was effective, feasible and practicable to achieve continuous multi-representation and transformation rapidly and dynamically with the results of smooth fashion and less discrete jumps.
出处
《测绘科学技术学报》
CSCD
北大核心
2014年第4期331-335,共5页
Journal of Geomatics Science and Technology
基金
河南省创新性科技人才队伍建设工程项目(104200510016)
关键词
空间数据
多尺度表达
尺度变换
消亡数据
匹配数据
spatial data
multi-scale representation
scale transformation
disappearing data
matching data
