矢量数据综合规则表达与实现方法——以土地利用数据综合为例

一库多用是GIS处理海量数据的有效方式。一库多用要求GIS能够从大比例尺数据生成小比例尺数据,这就要求GIS具备数据自动综合功能。GIS数据综合的关键是建立规则库,实现不同用户对规则库的自定义,以提高系统GIS数据自动综合的的通用性。GIS数据自动综合是计算机遵循的一定规则,对各个记录进行一一处理的过程。本研究基于产生式知识规则表达方式,提出"预存储规则"的实现方法。首先,最大量地收集与某一专题相关的所有知识规则,建立专题规则库;然后,根据相应的需求,在该专题规则库的基础上,通过用户接口定义不同应用规则库。该方法在一定程度上实现了程序与规则的分离和规则库的自定义。最后,给出了原型实验系统。     

Spatial distribution of Dactylogyrus wunderi Bychowsky on gills of Abramis brama orientalis Berg (Leuciscinae) in Irtysh River, China

The spatial distribution of the monogenean Dactylogyrus wunderi Bychowsky,1931 on the gill filaments of the bream Abramis brama orientalis Berg(Leuciscinae) inhabiting the Irtysh River of Xinjiang,China was investigated from June to July 2012.D.wunderi was identified by sequencing a fragment of its ITS rDNA region.Sixty-five fish were examined,with 55% testing positive for monogenean infection.The prevalence of the parasite in the left and right gill arches was 46% and 48%,respectively.In fish with a large body length,the prevalence of the parasite and the infection intensity did not significantly differ between the right and left gill arches but both were slightly higher in the former.Among the three size groups of fish(small,medium and large) the prevalence and the intensity of infection were lowest in fish with small body lengths.The distribution of the monogenean population in the host gills showed an aggregate distribution,with little change in the degree of aggregation,suggesting that most hosts were either not or only slightly infected by D.wunderi and that the parasite infected only a few hosts.In addition,differences in D.wunderi infections between gill arches of A.brama orientalis were not significant(P>0.05).