基于Agent的假日旅游数据挖掘平台的研究

建立了一种基于Agent的假日旅游数据挖掘平台,给出了对假日旅游信息进行数据挖掘的相关方法,并讨论了平台模型的体系结构和工作流程.     

深圳福田红树林区浮游藻类时空分布的研究

在2005年11月（秋）、2006年1月（冬）、2006年4月（春）,分别对深圳福田红树林保护区5个水质监测站的浮游藻类进行采样研究.共鉴定到浮游藻类5门27属52种（含1变种和9未知种）,密度在1.2×10^6～8.8×10^6个/L之间,平均密度为4.9×10^6个/L.硅藻门种类最多,有17属35种（含未知7种）,占总种类数的67.3%,而且密度最大,高达8.7×10^6个/L;最少为隐藻门的种类,尚未发现甲藻门的种类.耐污染特征的种类如极微小环藻（Cyclotella caspia）、颤藻（Oscillatoriaspp.）和小球藻（Chlorella vulgaris）是藻类群落的主要成分.各站分布的藻类群落组成季节差异明显,而种类数和密度并没有明显的季节变化.各站的优势种和优势类群存在时空差异.评价各站水质,反映出该红树林区水体处在中营养至富营养化状态.     

重庆市环城游憩带的形成及发展

介绍了环城游憩带的国内外研究现状,并以重庆市为例,给出了重庆市环城游憩带形成的有利条件,将主要的旅游资源分成地文景观、水域风光、生物景观和建筑与设施4类;对各类资源的分布特征进行了总结,指出了重庆市环城游憩带发展仍然存在交通拥挤、环境质量差、服务态度较差、宣传力度不足等问题,并提出了完善基础设施、开拓出游方式等具体解决措施。     

全局空间自相关Moran指数和G系数对比研究

研究了最常用的衡量全局空间自相关的指标:全局Moran指数和全局G系数,基于模拟的空间区域,设计了一些有代表性的空间聚集方案进行计算,比较了两种指标的探测结果。得出的初步结论是:G系数探测高值聚集的能力强于低值聚集;当研究范围内同时存在高值和低值聚集时,G系数会受聚集区域规模的影响,当高值聚集区域和低值聚集区域规模相当时,G系数往往为正数,表明G系数对高值敏感;Moran指数主要受聚集区域规模的影响,随着空间聚集范围的扩展,Moran指数会明显增大。这些结论对于探测空间自相关模式时选择何种全局指标有指导意义。     

空间数据库的数据挖掘

分析了传统数据挖掘方法面临的问题,介绍了空间数据挖掘的基本特征和空间数据库的知识发现过程,论述了几种空间数据挖掘的方法。     

Research on spatial association rules mining in two-direction

In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships between the attributes and the tuples, and most of the associations occur between the tuples, such as adjacent, intersection, overlap and other topological relationships. So the tasks of spatial data association rules mining include mining the relationships between attributes of spatial objects, which are called as vertical direction DM, and the relationships between the tuples, which are called as horizontal direction DM. This paper analyzes the storage models of spatial data, uses for reference the technologies of data mining in transaction DB, defines the spatial data association rule, including vertical direction association rule, horizontal direction association rule and two-direction association rule, discusses the measurement of spatial association rule interestingness, and puts forward the work flows of spatial association rule data mining. During two-direction spatial association rules mining, an algorithm is proposed to get non-spatial itemsets. By virtue of spatial analysis, the spatial relations were transferred into non-spatial associations and the non-spatial itemsets were gotten. Based on the non-spatial itemsets, the Apriori algorithm or other algorithms could be used to get the frequent itemsets and then the spatial association rules come into being. Using spatial DB, the spatial association rules were gotten to validate the algorithm, and the test results show that this algorithm is efficient and can mine the interesting spatial rules.     

陕西省非农人口分布的空间自相关特征分析

目的从全域和局域两个角度对陕西省非农人口分布的空间结构形态进行探讨。方法采用空间自相关分析方法。结果发现陕西省非农人口分布在整体上呈显著的空间正相关,而在关中、陕南、陕北3个区域则呈现不同的空间关联结构。结论分析方法能更清楚地揭示出陕西省非农人口的空间分布模式,即呈关中地区密度高,陕南和陕北地区密度较低的不平衡局面,同时,各区县非农人口密度大的区域和密度小的区域在空间上呈现一定的积聚性特征。     

地价监测点空间配置模式研究——以重庆市主城区为例

地价监测点的配置是地价动态监测体系建立中最基本、最关键的一个环节,在对地价监测点内涵分析的基础上,结合了重庆市主城区的实际情况划分地价监测区域,分别建立地价监测点的定量和定位配置模型对重庆市主城区地价监测点进行配置,力求为重庆市乃至全国范围内地价监测点的空间配置在理论和技术上有所帮助。     

基于景观生态学的长春ReBAM游憩景观研究

ReBAM逐渐成为重要的旅游地域,但是长春ReBAM内各游览区处于散兵游勇式的状态,因此着眼于游憩景观空间结构对郊区进行研究具有积极意义。本文基于景观生态学理论,梳理了长春ReBAM的基质特色、游憩斑块类型和等级以及廊道体系,设计了社区型旅游地,最后从游憩时空体系和旅游线路两方面整合了郊区景观,可以指导游憩项目的设置和旅游产品的营销。     

Vegetation Spatial Heterogeneity of Different Soil Regions in Inner Mongolia, China

The vegetation spatial heterogeneity and ecological characteristics in different soil regions were analyzed by surveying the vegetation in 12 different soil regions of Inner Mongolia, China, including conifer- ous-broadleaf deciduous forests, shrub, grassland, and desert regions with 1122 large 2 cm × 2 cm quad- rats (actual size 30 km × 30 km, referred to as L-quadrat hereafter) in about 1.18 million km2. Each L- quadrat was divided into four small 1 cm × 1 cm quadrats (actual size 15 km × 15 km, S-quadrat). The vegetation was analyzed based on the beta-binomial distribution to describe the frequency of occurrence and spatial heterogeneity for each kind of vegetation. The weighted average of the heterogeneity of all vegeta- tion in the same soil region provides a measure of the soil regional landscape level heterogeneity which de- scribes the spatial complexity of the regional landscape composition of the existing vegetation. Comparison of the vegetation characteristics in the 12 soil regions shows that, the calcic gray soil has the highest average vegetation type per quadrat. The largest soil region is calcic chestnut soil and has the most vegetation types. Every soil region has its own dominant vegetation sequence which dominates in occurrence and dominant vegetation types which dominates in spatial heterogeneity. For the Inner Mongolian vegetation, the weighted average of the heterogeneity is 0.60 and the vegetation diversity index is 4.47.