滇东南喀斯特山区生态系统服务时空格局及功能分区   总被引：4，自引：0，他引：4  

赵筱青  石小倩  李驭豪  李益敏  黄佩 《地理学报》2022,77(3):736-756

明晰生态系统服务时空格局,划分生态系统服务功能区,将有助于实现土地资源精细化管理。本文以滇东南喀斯特山区典型区域文山市为例,分析2000—2017年食物供给、产水量、植被净初级生产力、土壤保持、生境质量和旅游文化6项生态系统服务的时空格局及其分异特征;运用K-means聚类法识别生态系统服务簇,划分生态系统服务功能区,并提出差异化生态管控措施。结果表明：① 2000—2017年间,除生境质量服务下降外,文山市其他5项服务均呈上升趋势。② 空间分布上,文山市6项生态系统服务高值区集中分布在西部和南部,低值区集中分布在北部和中部;6项服务的冷热点区域空间分布有差异,但整体上具有重叠性。除旅游文化服务的热点和冷点区分布面积占比分别为2.56%和0以外,其他5项服务的冷热点区面积占比均在21%~32%;能够同时提供3项及以上高值生态系统服务功能的区域较少,85.50%的区域只能同时提供2项及以下高值服务功能。③ 根据服务簇聚类结果,文山市划分为生态保护区、生态过渡区、农业主产区和人类生产生活区4类功能区,针对各分区提出差异化生态管控建议。研究结果可为喀斯特山区城市资源利用和国土空间管控提供参考。  相似文献   

Gravitational clustering of galaxies in an expanding universe     

Naseer Iqbal  Farooq Ahmad  M. S. Khan 《Journal of Astrophysics and Astronomy》2006,27(4):373-379

We inquire the phenomena of clustering of galaxies in an expanding universe from a theoretical point of view on the basis of thermodynamics and correlation functions. The partial differential equation is developed both for the point mass and extended mass structures of a two-point correlation function by using thermodynamic equations in combination with the equation of state taking gravitational interaction between particles into consideration. The unique solution physically satisfies a set of boundary conditions for correlated systems and provides a new insight into the gravitational clustering problem.  相似文献   

基于MST聚类的空间数据离群挖掘算法     

林甲祥  陈崇成  樊明辉  郑旻琦 《地球信息科学学报》2008,10(5):586-592

空间离群是指空间邻域中属性特征值明显不同于其他对象的空间对象,空间数据离群挖掘能为人们提供很多有趣的信息,但空间数据具有复杂的拓扑关系、方位关系和度量关系等空间特征,传统的面向事务型数据库的离群挖掘算法并不适用于空间数据库。本文提出了基于MST(Minimum Spanning Tree,最小生成树)聚类的空间数据离群挖掘算法(SOM);有机结合了最小生成树理论与密度的方法,既体现了空间离群的局部特性,又体现了空间离群的孤立程度。该算法通过MST维护空间数据的基本空间结构特征,通过打断MST中最不一致的边形成MST聚类,不仅具有密度的聚类方法能够聚集非球状簇和分布不均的数据集的特点,而且聚类结果不依赖于用户参数的选择,因此,离群挖掘结果更合理。最后,通过实例数据,验证了该算法的有效性,它适用于大规模空间数据集的离群挖掘。  相似文献   

A TAXONOMICAL AND ECOLOGICAL SURVEY OF ROTIFER COMMUNITIES IU KROTTENSEE (AUSTRIA)     

诸葛燕 《中国海洋湖沼学报》1996,(4)

The composition and distribution of benthic, periphytic and planktonic rotifers in different habitatsin Krottensee were investigated. Sixty-five rotifer taxa were identified, their relative abundance estimated. Classification of the data set by cluster analysis allowed the recognition of distinct habitat groupe con-fined to acid bog ponds, macrophytes, sediments, and open water. Five groups of rotifer taxa were identifiedon the basis of their habitat preferences and the occurrence of the taxa. Highest diversities were found onmacrophytes and in acid bog ponds.  相似文献   

移动轨迹聚类方法研究综述   总被引：6，自引：2，他引：4  

牟乃夏  徐玉静  张恒才  陈洁  张灵先  刘希亮 《测绘通报》2018,(1):1-7

轨迹数据是人类移动行为的表征,能够映射出人的出行模式和社会属性等信息。怎样有效挖掘轨迹数据蕴藏的人类活动规律一直是研究的热点。通过轨迹聚类发现行为相似的类簇,从而探究群体的移动模式是轨迹挖掘和深度应用常见的方法之一。本文首先根据轨迹数据的特点,将轨迹数据模型分为轨迹点模型和轨迹段模型,并据此定义相应的相似性度量：空间相似性度量和时空相似性度量;然后,对两类模型的聚类方法进行了综述,并总结不同聚类算法的优缺点,以期为不同应用选取聚类算法提供科学依据;最后对移动轨迹数据聚类方法研究的发展趋势进行了讨论。  相似文献   

k均值聚类引导的遥感影像多尺度分割优化方法   总被引：5，自引：0，他引：5  

王慧贤  靳惠佳  王娇龙  江万寿 《测绘学报》2015,44(5):526-532

针对不同尺度地物的分割需求,提出了一种k均值聚类引导的多尺度分割优化方法。首先对原始影像进行小尺度分割和k均值聚类,然后利用k均值聚类结果引导对象合并,在合并过程中利用Otsu阈值方法自动选择k均值聚类的影响因子,最终得到适应不同尺度地物的分割结果。以FNEA多尺度分割方法为例,利用模拟数据和真实的GeoEye-1影像数据进行相关试验,目视和定量评价表明本文方法能够得到适宜不同尺度地物的高质量分割结果。  相似文献   

改进的模糊聚类遥感影像分割     

高国勇 《测绘与空间地理信息》2015,(6):98-100

聚类是数据挖掘的重要分支之一,引入模糊理论的模糊聚类分析为显示数据提供了模糊处理能力,在许多领域被广泛应用。本文应用考虑邻域关系的约束模糊C均值(Fuzzy C-Means with Constrains,FCM_S)算法,将邻域像素引入到目标函数中,进而有效地利用邻域像素信息,提高分割精度。本文应用FCM_S算法对模拟彩色纹理图像进行分割,计算其混淆矩阵,定性定量地与FCM算法进行对比分析,证明了该算法的鲁棒性。  相似文献   

ENVIRONMENTAL PROBLEMS ASSOCIATED WITH LARGE RECREATIONAL SUBDIVISIONS     

Hubert B. Stroud 《The Professional geographer》1983,35(3):303-313

Recreational subdivisions are extensive operations that have produced tremendous change in many areas. Environmental problems are widespread and often intensified by the extreme degree of clustering. Severe environmental impacts could be reduced substantially if the projects were developed in phases, water resource use was limited to environmentally “safe'’yields, and other environmental constraints were considered by project officials.  相似文献   

An algorithm for clustering profile data and its application to near-surface ice content data from wet coastal tundra soils near Barrow, Alaska     

G. F. Estabrook  S. Outcalt 《Mathematical Geology》1984,16(2):193-205

An algorithm to cluster profile data into groups that minimize the sum of the intra-group variances was applied to near-surface soil ice content data collected near Barrow, Alaska, in wet tundra terrain. When the algorithm was requested to produce 2–5 groups and group mean profiles, the results were consistant with the modern theory of ice segregation. This process produces much of the variability of near surface soil ice stratigraphy in nature. These results strengthen the case for employing the algorithm on other profile data sets as an aid in hypothesis formulation.  相似文献   

Typological factor analysis: A new classification method applied to geology     

M. Dumitriu  C. Dumitriu  M. David 《Mathematical Geology》1980,12(1):69-77

The purpose of typological factor analysis is to detect, within a multidimensional sample, the existence of subsets characterized by different maximal elongation directions. The method which has been successfully applied in the field of pattern recognition can be considered from two points of view: (1) an automatic classification or dynamic clustering technique: and (2) a form of factor analysis. Using this form of analysis nuclei of affine varieties (points, axes, planes, etc) are identified. Different case studies were analyzed in order to establish the advantages of the method compared to other methods. Geochemical analyses of rock samples; that is, rhyolites, mafic, and intermediate rocks of the Normetal (Abitibi) area were subjected to typological factor analysis for the purpose of classification of geological deposits and detection of geochemical anomalies. The method was also applied to the classification of sediments from the Barataria Bay area in Louisiana.  相似文献