福建农林大学学报（自然科学版）2017，Vol.46Issue(2)：192-198,7.DOI:10.13323/j.cnki.j.fafu(nat.sci.).2017.02.012
局部空间同位模式在作物种植适宜性调查中的应用
Application of regional co-location patterns on planting suitability surveying
摘要
Abstract
To solve problems of current mining algorithm for regional co-location pattern that lacks in statistical significance and pertinence, a new approach based on experts' interestingness was proposed. Firstly, co-location pattern consisting of sets of continuous variables was screened and mined by the function of experts'interestingness. Hotspot and target spacial region of interests was extracted and integrated from co-location pattern. Furthermore, the approach was validated by applying to tobacco suitability evaluation data sets of Changting County in Fujian Province. Abnormal region in Changting that had fertile soil but was unsuitable for tobacco cultivation was identified. Suggestions including emphasizing irrigation infrastructure and application of lime and boron ferti-liser were put forward.关键词
局部空间同位模式/空间统计量/作物种植适宜性Key words
regional spatial co-location pattern/spatial statistics/planting suitability分类
农业科技引用本文复制引用
范协裕,邢世和,张黎明..局部空间同位模式在作物种植适宜性调查中的应用[J].福建农林大学学报（自然科学版）,2017,46(2):192-198,7.基金项目
福建省科技重大专项(2012NZ0002). （2012NZ0002）
