%0 Journal Article
%T Fuzzy inference of spatial gradation of slope positions<br>坡位渐变信息的模糊推理
%A QIN Cheng-zhi
%A ZHU A-xing
%A SHI Xun
%A LI Bao-lin
%A PEI Tao
%A ZHOU Cheng-hu
%A <br>秦承志
%A 朱阿兴
%A 施迅
%A 李宝林
%A 裴韬
%A 周成虎
%J 地理研究
%D 2007
%I 
%X An important characteristic of slope positions(e.g.backslope,footslope) is that the transition between them is gradual.And the quantification of gradual transition of slope positions is very useful in many terrain-related geographical or ecological modelling(such as soil erosion on slope,soil surveying and mapping),especially on fine scale.Among current approaches of fuzzy slope position which are based on the gridded DEMs,fuzzy k-means approaches often focus on the parameter space and ignore the spatial information.Moreover,this type of approach can not extract some slope positions when they just exist with a very small proportion of application area.And the rule-based approach requires intensive operations and has a high demand for user knowledge of local landform.So the practicability is limited.This paper proposed a similarity-based approach to quantitative fuzzy representation of spatial gradation of slope positions.This approach includes two steps: the first is to extract the typical locations of each slope position.Then based on both local topographic attributes and regional terrain index,the similarity between other locations and typical locations is computed.This approach is carried out in both attribute domain(i.e.parameter space) and spatial domain.Both local topographic information and terrain context are taken into account.Application shows that results of proposed approach can quantitatively describe the spatial gradation of slope positions(such as ridge,slope shoulder,back slope,footslope,and valley).The analysis combining with spatial gradual transition of sand percentages in the A horizon of soil samples also indicates the reasonability of the results of the proposed approach.
%K slope position
%K spatial gradation~ similarity~ fuzzy inference
%K gridded DEM<br>坡位
%K 空间渐变
%K 相似度
%K 模糊推理
%K 栅格DEM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=869B153A4C6B5B85&jid=C0C75E88BA2EE501C8298896F64A711F&aid=E206132D593FFC17E42A31B3079CD566&yid=A732AF04DDA03BB3&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=73810A8E3A4195A6&eid=C9B4EBB1C6A169D8&journal_id=1000-0585&journal_name=地理研究&referenced_num=3&reference_num=27