山区遥感图像自动分类研究——以西南地区为例(英文)

In mountainous areas, it is the undulant terrain, various types of geomorphic and land use that make the remote sensing images great metamorphism. Moreover, due to the elevation, there are many areas covered with shadow, clouds and snow that make the images more inaccurate. As a result, it would be very difficult to carry out auto-classification of RS images in these areas. The study took Southwest China as the case study area and the TM images, SPOT images as the basic information sources assisted by the a...     

Multivariate analysis of fluorescence and source identification of dissolved organic matter in Jiaozhou Bay, China

Hierarchical clustering analysis and principal component analysis (PCA) methods were used to assess the similarities and dissimilarities of the entire Excitation-emission matrix spectroscopy (EEMs) data sets of samples collected from Jiaozhou Bay, China. The results demonstrate that multivariate analysis facilitates the complex data treatment and spectral sorting processes, and also enhances the probability to reveal otherwise hidden information concerning the chemical characteristics of the dissolved organic matter (DOM). The distribution of different water samples as revealed by multivariate results has been used to track the movement of DOM material in the study area, and the interpretation is supported by the results obtained from the numerical simulation model of substance tracing technique, which show that the substance discharged by Haibo River can be distributed in Jiaozhou Bay.     

元素迁移的分维结构、级序路径及共轭地球化学异常存在的理论依据

微量元素在矿源岩（层）中迁移遵循严格的级序路径，并且存在两种迁移倾向。迁移的结果图象是一分维结构。两种共轭地球化学异常出现的有利环境是温度高度反差地区和大断裂系及其附近。     

Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches

 In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.     

基于球面四元三角网剖分的层次空间关系推理

主要讨论了基于四元三角网（Quaternary Triangular Mesh,简称QTM）球面层次格网剖分的基础上，通过单元递归细化来确定2个球面实体的空间关系。传统确定空间关系的方法是通过二元经典剖分元－实体的内部（xi)和外部（xe)，通过对QTM球面层次特征的分析，增加了第3个剖分元－不定剖分元（xm)，利用三值逻辑－true(T)，false(F）,和maybe(M)快速准确地确定2球面实体的拓扑关系。其基本原理是：在球面四元三角网的根水平带有不确定空间关系开始，一层一层地递归细化，来排除不可能结果。当细化的信息满足一定的查询要求，递归分解过程就停止。特别在细化过程中，提出并应用了“继承推理”方法来提高系统效率。     

矿物成因族的演化及其地质找矿信息

基于对胶东、晋北寒武纪变质岩系、超基性岩、基性岩、花岗岩类、火山岩类、硅铁建造铁矿、金矿蚀变带内 1 1个不同地质产状的 34个角闪石、 2 51个绿泥石、 60个黑云母单矿物的提纯 ,矿物的共生组合、物理性质、化学成分、X光衍射分析、热分析、红外吸收光谱分析、双矿物地质温度计、矿物压力计的测定 ,提出了角闪石、绿泥石、黑云母矿物成因族的地壳物质演化、成岩成矿作用、变质岩原岩恢复、地层对比、变质相、蚀变带的演化规律和地质找矿信息。     

Fast Nearest Neighbor Classification Methods for Multispectral Imagery

Nearest neighbor classifiers have not been widely used by remote sensing practitioners. The lack of acceptance of these classifiers may be partially due to their notoriously slow speed of execution which makes them impractical for the classification of mega-pixel images. However, training data reduction, distance measure optimization, and neighbor searching algorithms based on the modified k-d tree can speed nearest neighbor classification substantially.     

Indigenous knowledge of landscape–ecological zones among traditional herbalists: a case study in Keiyo District, Kenya

Object of study is the insight of traditional herbalists in the landscape-ecological factors wich control the growth of the plants they use for healing their patients. The extent of this insight determines their capacity to adapt to environmental changes such as deforestation and soil degradation. This paper deals with the landscape-ecological perception of herbalists who live in an area with sharp landscape contrasts and drastic changes in landuse: the Keiyo Escarpment in the Rift which links the cool and humid Uasin Gishu Plateau at a level of more than 2600 m above sea level, with the warm and semi-arid Kerio Valley at 1250 m. The landuse changes of the last 50 years are caused by growing population density, loss of traditional attitudes towards the value of the land, and changes in forest cover. Data on local knowledge are acquired through interviews and field visits. The corresponding western knowledge is derived from aerial photographs and existing reports and maps. Six landscape-ecological zones are recognized. They are named after topography (wareng, mosop, soin), vegetation (teguming, korget) or landuse (tumdo). These zones coincide with the units of the agro-climatic map of Kenya. Apart from geology, all the factors of the hierarchical model used in western-based landscape ecology (climate, geology, relief, water, soil, vegetation and fauna) are included in the indigenous perception of the landscape, but the hierarchical order is not necessarily the same: e.g. the herbalists assume that rock grows in the soil instead of the other way around, and that forests attract rain. From the herbalists' point of view, deforestation and the establishment of small-holder agriculture is less serious for their trade than the replacement of indigenous trees by plantations with exotic species. They adapt to the loss of the forest by travelling to areas with comparable landscape-ecological conditions or, especially in the case of women and older male herbalists, by planting the required species in the garden. According to the herbalists, good climate and fertile soil stimulate species diversity, but best medicinal performance give plants on soils which are periodically dry.     

The impact of the parking situation in shopping centres on store choice behaviour

The article discusses the effects of changing the parking situation in the surrounding of shopping centres on consumers store choice behaviour. To get insight into these effects a hierarchical logit model of parking lot and store choice behaviour is estimated and validated. The research is based on before-and-after data of supermarket visitors collected in a major regional shopping centre in a suburban area in The Netherlands. The model is estimated using the before data. At the level of the supermarkets the estimated hierarchical logit model performs very well. The model is less accurate at the level of parking lots but still performs satisfactory. Significant attributes are a constant representing the characteristics of the supermarket, the distance between supermarket and parking lot, the number of parking spaces per parking lot, the location of the parking lot vis-à-vis the origin of the consumer, and the availability of supermarket trolley facilities at the parking lot. Validating the model by reproducing the after data yields less satisfactory results. Especially the model does not perform very well on predicting parking lot choice. This revised version was published online in July 2006 with corrections to the Cover Date.