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空间关系及其应用 总被引:10,自引:0,他引:10
GIS中的空间关系主要描述空间对象之间的各种关系,为GIS的分析提供基本的理论和方法支持。空间关系主要包括距离关系、方向关系、拓扑关系及空间关系相似性等。从空间关系的内涵来讲,空间关系模型应该能够反映目标尺度、人类认知、目标层次、现象的不确定以及随时间变化等特性对空间关系的影响;从数学角度来看,空间关系模型必须是可形式化和可推理的,以方便操作和实现;空间关系从人们认知的角度对空间现象和目标间的关系进行建模,因而在空间数据查询、检索、空间数据挖掘、空间场景相似性评价以及图像理解等应用领域得到了广泛应用。现有GIS模型主要针对二维平面的简单对象、确定的现象进行建模,因而大多数空间关系模型只描述和推理二维平面对象和确定现象的空间关系,三维空间关系、不确定空间关系、复杂目标间的多层次空间关系推理、遥感图像空间关系的抽取、描述与推理将是未来空间关系研究和发展的重要方向。 相似文献
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以GIS应用为目的的地学空间数据库的建设,在图层划分、拓扑关系正确性等方面与数字制图有着不同要求。在地学空间数据采集过程中,如果仍以数字制图的数据模型代替空间分析的数据模型,会使数据在某些复杂的分析或过程模拟中无能为力,从而降低数据使用的有效性。 相似文献
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文章以松嫩平原为例,开展土地利用格局空间变化研究。该区包括白城市、松原市等10个市县,土地面积46930km2。半个世纪以来,该区的土地利用格局发生了较大的变化,湿地萎缩、草地退化、土地沙化、土地盐碱化,荒漠化迅速发展,制约该区的可持续发展。本文以多元遥感数据为空间数据源,以3S技术为支持,以1km×1km的栅格单元为最小信息图谱单元,构建地学信息图谱-空间分析模型,进行土地利用变化研究; 土地利用格局及其影响因子的空间回归分析; 及土地利用格局空间变化趋势预测。研究结果表明,到2019年该区的土地利用结构与功能将发生巨大的变化,湿地、水域、草地的面积分别减少61.37%,52.45%和45.77%,盐碱地面积增加21.76%。盐碱荒漠化将进一步扩张。因此,必须及早制订相应的对策与方案。
文章将地学信息图谱方法与空间分析方法相融合,构成地学信息图谱-CAMarkov耦合模型,以栅格图谱数据-元胞图形数据进行模型运算,将复杂的、变化的生态景观特征以图谱的形式展现出来。从而使研究的全过程实现了栅格化、数字化、空间化、动态化和图谱化。 相似文献
文章将地学信息图谱方法与空间分析方法相融合,构成地学信息图谱-CAMarkov耦合模型,以栅格图谱数据-元胞图形数据进行模型运算,将复杂的、变化的生态景观特征以图谱的形式展现出来。从而使研究的全过程实现了栅格化、数字化、空间化、动态化和图谱化。 相似文献
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地学G4 I 系统是以四学科( 地质学、地理学、地球化学及地球物理学) 地学数据集成为基础,以中大比例尺矿产资源评价为服务目标的计算机系统。由于跨学科地学空间数据集成涉及到众多技术,其中空间元数据的内容与应用构成本系统的重要组成部分。笔者就元数据的概念及元数据在本系统中的具体内容、作用、标准及研究现状等进行探讨,并针对本系统提出元数据管理子系统的设计框架。 相似文献
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构造线空间分布模式的定量分析与地学意义 总被引:3,自引:0,他引:3
介绍了构造线空间分布模式定量分析方法,对淮北隐伏煤田构造线的空间分布特征进行了定量分析,并对所提取出的地学信息的意义进行了阐述,获得了一些关于该区构造发展史及火成岩分布规律的新认识。 相似文献
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GIS信息技术是目前矿产资源评价的手段,而GIS综合矿产资源评价实施则有赖于合理的相关矿产资源评价空间数据库建设,在GIS空间数据库建设中一项非常重要的内容是根据预测评价矿种及资料水平进行空间数据库的地学数据模型设计. 相似文献
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地学信息图谱所研究的地理空间规律和地理过程均具有一定的区域相似性, 故其在空间和时间上具有一定的区域特征,因此对地学信息图谱的研究均有空间和时间尺度方面的范畴。尺度是研究客体或过程的空间维和时间维。根据研究性质、研究对象的空间规模等方面的不同,地学信息图谱的空间尺度可分为大尺度、中尺度和小尺度;按研究的时间尺度不同,地学信息图谱的时间尺度可分为长时间尺度、中等尺度和短时间尺度。地学信息图谱的时空维是指地学信息图谱数据源的时空维或地学信息图谱可以表达的时空维,不同的时空维表达不同的特征和内容。 相似文献
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Spatial declustering weights 总被引:1,自引:0,他引:1
G. Bourgault 《Mathematical Geology》1997,29(2):277-290
Because of autocorrelation and spatial clustering, all data within a given dataset have not the same statistical weight for
estimation of global statistics such mean, variance, or quantiles of the population distribution. A measure of redundancy
(or nonredundancy) of any given regionalized random variable Z(uα)within any given set (of size N) of random variables is proposed. It is defined as the ratio of the determinant of the N X Ncorrelation matrix to the determinant of the (N - 1) X (N - 1)correlation matrix excluding random variable Z(uα).This ratio measures the increase in redundancy when adding the random variable Z(uα)to the (N - 1 )remainder. It can be used as declustering weight for any outcome (datum) z(uα). When the redundancy matrix is a kriging covariance matrix, the proposed ratio is the crossvalidation simple kriging variance.
The covariance of the uniform scores of the clustered data is proposed as a redundancy measure robust with respect to data
clustering. 相似文献
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G. Bourgault 《Mathematical Geosciences》1997,29(2):277-290
Because of autocorrelation and spatial clustering, all data within a given dataset have not the same statistical weight for estimation of global statistics such mean, variance, or quantiles of the population distribution. A measure of redundancy (or nonredundancy) of any given regionalized random variable Z(uα)within any given set (of size N) of random variables is proposed. It is defined as the ratio of the determinant of the N X Ncorrelation matrix to the determinant of the (N - 1) X (N - 1)correlation matrix excluding random variable Z(uα).This ratio measures the increase in redundancy when adding the random variable Z(uα)to the (N - 1 )remainder. It can be used as declustering weight for any outcome (datum) z(uα). When the redundancy matrix is a kriging covariance matrix, the proposed ratio is the crossvalidation simple kriging variance. The covariance of the uniform scores of the clustered data is proposed as a redundancy measure robust with respect to data clustering. 相似文献
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在现存地下水监测网站中,观测站点分布的任意性、随意性和层次不清以及观测数据的冗余性等问题普遍存在,应用空间聚类原理,对所选研究区域廊坊地下水的监测点位及监测指标分别进行了空间聚类分析,对原始数据和经聚类处理后的数据分别进行了空间变异性评价,结果显示空间聚类分析是有效合理的。试图将空间变异性和空间聚类方法结合起来,为环境监测点的重新布置提供了理论依据,使提高监测效率与监测点的代表性、优化监测网格成为了可能;了解监测指标及监测点位在空间上的相关程度,为环境监测指标的确定提供理论依据,进而为环境管理、污染物控制以及环境资源的综合利用提供基础依据。 相似文献
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Spatial dimensions of conflict 总被引:1,自引:0,他引:1
Emilio Biagini 《GeoJournal》1993,31(2):119-128
Conflict is basically a struggle for the control of space. It may unfold in controlled fashion, ie within an institutional framework, or out of control, with the institutional framework itself at stake. Conflict can also be regarded as a quest for order, as the goal of both parties is invariably that of establishing order to their own advantage. A number of conflict models, conceptualised through systems analysis, is presented. Most of them revolve around the concept of imbalance multiplier. A number of scenarios of conditions paving the way to conflict (in a traditional society, in an industrialising one, in a highly developed one) are considered. More scenarios are envisaged for the conflict resolution (in the case of a strong élite, or of a weak one, or in the case whereby an internal conflict breaks out externally). A simple model of controlled conflict is also presented. These models are a part of a larger theory of development, an early draft of which was published as Paper No. 10 of the Southampton Discussion Papers in 1981. The models have already been applied, or are being applied, to several case studies. 相似文献
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Spatial data that are incomplete because of observations arising below or above a detection limit occur in many settings, for example, in mining, hydrology, and pollution monitoring. These observations are referred to as censored observations. For example, in a life test, censoring may occur at random times because of accident or breakdown of equipment. Also, censoring may occur when failures are discovered only at periodic inspections. Because the informational content of censored observations is less than that of uncensored ones, censored data create difficulties in an analysis, particularly when such data are spatially dependent. Traditional methodology applicable for uncensored data needs to be adapted to deal with censorship. In this paper we propose an adaptation of the traditional methodology using the so-called Expectation-Maximization (EM) algorithm. This approach permits estimation of the drift coefficients of a spatial linear model when censoring is present. As a by-product, predictions of unobservable values of the response variable are possible. Some aspects of the spatial structure of the data related to the implicit correlation also are discussed. We illustrate the results with an example on uranium concentrations at various depths. 相似文献
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Spatial prediction and ordinary kriging 总被引:11,自引:0,他引:11
Noel Cressie 《Mathematical Geology》1988,20(4):405-421
Suppose data {Z(s
i
):i=1, ..., n} are observed at spatial locations {s
i
:i=1, ..., n}. From these data, an unknownZ(s
0) is to be predicted at a known locations
0c, or, ifZ(s0) has a component of measurement error, then a smooth versionS(s
0) should be predicted. This article considers the assumptions needed to carry out the spatial prediction using ordinary kriging, and looks at how nugget effect, range, and sill of the variogram affect the predictor. It is concluded that certain commonly held interpretations of these variogram parameters should be modified.This paper was presented at MGUS 87 Conference, Redwood City, California, 14 April 1987. 相似文献