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为了探讨新的加权系数估计方法对于消除或减弱证据层不满足条件独立性假设时对预测结果的影响, 对加权证据权模型的加权系数估计方法进行了新的探讨,尝试用顺序估计法估计加权系数.加权系数的顺序估计法是将加权证据权模型与基于模糊预测对象的证据权模型相结合,将证据层按照一定顺序逐步加入到加权证据权模型中,在加入到模型的过程中依次用已经获得的后验概率作为模糊训练层对证据层加入到模型的顺序进行修正,并通过条件相关系数的方法估计加权系数.分别以1组多元正态分布模拟数据和个旧锡铜多金属矿产资源预测为例,比较了多种模型的后验概率,结果表明加权证据权模型对减弱证据层不满足条件独立性假设所产生的影响是有效的. 相似文献
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增强证据权(BoostWofE)新方法在矿产资源定量评价中的应用 总被引：1，自引：0，他引：1
成秋明 《吉林大学学报(地球科学版)》2012,(6):1976-1984
证据权方法是矿产资源定量评价的最常用方法之一,尤其是在GIS环境下,证据权方法具有简便、直观、易实现等优点。然而,证据权模型对证据图层之间满足条件独立性的要求过于苛刻。实际应用中证据图层之间往往不满足条件独立性而导致后验概率计算结果的偏差,这一数学模型上的缺陷严重影响到该方法的使用范围,甚至有时造成预测人员对如何构建证据图层的误解。提出了一种新的增强证据权的模型和计算方法:该模型按顺序加入证据图层,依次计算证据图层的条件权重,并以此累积更新后验概率;新的计算方法可依次对训练点集(预测对象)进行加权处理,并以此为基础逐次计算证据图层的条件权重。介绍了增强证据权理论模型和计算方法,并通过应用实例对比了普通证据权方法和增强证据权方法的应用效果。结果表明:由于增强证据权模型不要求证据图层之间具备条件独立性,它克服了证据权模型的缺陷,显著提高了证据权方法的应用精度,有望扩大证据权方法的应用范围。 相似文献
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证据权方法是目前最常用的信息综合方法之一,广泛应用于矿产资源定量预测与评价.然而,它要求变量间相互独立,地质上很难满足这一条件.如何削弱条件不独立对证据权预测结果的影响,已成为当前数学地球科学研究的热点.解决该问题的途径之一是对传统证据权模型进行校正,比如采取加权的方法对原证据权模型计算的证据权重进行修正,以便消除非条件独立性的影响.对近期提出的多种加权证据权模型进行了系统的对比研究,基于同样的应用实例和实验方案,对不同方法的应用效果进行了比较,结果表明,各种加权证据权模型均可不同程度地削弱证据图层条件不独立性的影响,其中,基于逻辑回归的加权证据权模型优于其他加权方法. 相似文献
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将证据权模型应用在公路路基岩溶发育强度分区中,在工程作用下岩溶强发育区易发生岩溶塌陷。介绍了证据权模型的方法。在丹霞枢纽互通区域,应用Arc GIS将研究区划分为5m×5m的栅格,考虑地层岩性、地下水距地面距离、顶板厚度、距断层距离4个证据因子,然后进行证据因子优选,通过叠加分析,得出岩溶发育强度的后验概率,并进行条件独立性检验,利用CAPP曲线确定阈值将后验概率分区。应用ROC曲线进行预测的精度评价,预测正确概率为66.2%。最后结果表明,证据权模型应用在公路路基岩溶方面可行。 相似文献
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本文选择博格达-哈尔里克一带作为研究区,从区域成矿地质背景入手,鉴于该地区已知成型铜矿床较少,成矿规律研究薄弱,故作者采用ArcGIS平台下的证据权模型(WofE),以数据驱动方式为主,从断裂构造、沉积岩相与建造、火山岩建造、侵入岩岩性等方面,以学生化反差S(C)作为有利因子衡量指标,对各控矿因素进行影响程度分类,利用加权逻辑斯回归模型计算成矿后验概率,根据后验概率值的大小进行成矿远景区的圈定和分级,在博格达-哈尔里克成矿带内共圈定7个成矿远景区。最后结合区域化探资料进行了验证,结果显示所圈定的铜矿成矿远景区内化探异常明显,与Cu元素异常套合较好,说明ArcGIS证据权模型能很好地为区域矿产预测提供良好的技术支撑,为研究区铜矿找矿方向提供理论依据,文中所总结的基于ArcGIS平台的证据权计算方法流程也为区域矿产预测提供了方法借鉴。 相似文献
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证据权模型作为一种数据综合方法已被广泛应用于矿产资源定量预测与评价。在模糊证据权基础上,发展了基于地质单元思想的矢量证据图层构建和数据综合方法,并通过实例作具体阐述：它以矿点缓冲区图层作为训练图层,以各证据变量图层在空间上的叠置所形成的唯一地质单元作为评价对象,统一计算各个证据变量的证据权重,进而基于地质单元进行证据综合和后验概率成图。与基于栅格（或规则格网）的模型不同,基于矢量证据权模型以具有明确地质内涵的地质单元（而非规则网格单元）为预测单元,易于解释,并且消除了边界误差;相比基于规则格网划分所得到的成矿单元,以矿床（点）缓冲区作为训练对象,提高了已知矿点的代表性。实例表明：若预测单元大小为初始栅格大小整数倍,各缓冲等级平均面积计算误差为0.26%,否则面积平均误差达到6%;即使在预测单元大小为初始栅格大小整数倍情况下,矿点平均计算误差也达到4.78%。因此,基于地质单元思想的证据权预测单元划分方法在精度上优于基于栅格或规则格网方法。 相似文献
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模糊证据权方法在镇沅(老王寨)地区金矿资源评价中的应用 总被引：11，自引：0，他引：11
采用模糊证据权方法和GeoDASGIS技术开展了镇沅(老王寨)及其邻区的金矿资源潜力评价.分别采用GeoDASGIS软件提供的局部奇异性分析技术、S-A异常分解技术、主成分分析技术、证据权、模糊证据权等技术对相关地球化学元素进行了系统的处理和分析.应用主成分分析方法确定了可能的2种不同成矿类型,并采用主成分得分确定了组合异常点,在此基础上分别采用普通证据权和模糊证据权方法编制了成矿后验概率图,圈定了有利成矿地段.对比普通证据权方法与模糊证据权方法所得结果表明,模糊证据权方法可减小图层离散化造成的有用信息损失,提高预测结果精度. 相似文献
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本文从控制热液运输通道的断裂密度、代表成矿物质来源的地球化学因子(异常,背景)、反映成矿围岩构成的卫星重力分布三个(共四个证据)对金矿具有显著指示意义的找矿指标入手,通过与现有已发现的金矿床进行比对检验后得到最佳的找矿证据.应用证据权模型,首次评估了厄立特里亚全国范围内不同区域发现金矿床的概率.依据计算得到的后验概率结果,在10％,30％及65％三个概率区间分别估计了未发现金矿床个数.结合北部非洲金矿床的吨位品位分布模型,估计得到了在三个概率区间下的厄立特里亚金矿的国家储量和资源量.按照发现金矿概率由高到低,在工作区划分了3级找矿有利区.结果显示,厄立特里亚具有良好的金矿的找矿潜力,除传统的北北东向与北北西向金矿成矿带外,两者的北方结合部位及其南部连通区域需要重点关注.通过与传统野外地质踏勘得到的厄特现有的成矿区带对比表明,本次划分的找矿远景不仅包含了传统的金矿成矿带,且在厄特南部发现了之前并未引起关注的带状区域,为厄特金矿找矿提供了新的探索方向.多方证据也表明,两条成矿带的结合部,也值得更多的关注.与其他方法得到的厄立特里亚的金矿储量资源量数据相比,本次估算结果首次给出了厄特特里亚金矿在不同概率空间下的储量资源量结果,对进一步摸清厄特的金矿潜力提供了更加精准的数据支撑. 相似文献
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Weights of evidence (WofE) is an artificial intelligent method for integration of information from diverse sources for predictive purpose in supporting decision making. This method has been commonly used to predict point events by integrating point training layer and binary or ternary evidential layers (multiclass evidence less commonly used). Omnibus weights of evidence integrates fuzzy training layer and diverse evidential layers. This method provides new features in comparison with the ordinary WofE method. This new method has been implemented in a geographic information system-geophysical data analysis system and the method includes the following contents: (1) dual fuzzy weights of evidence (DFWofE), in which training layer and evidential layers can be treated as fuzzy sets. DFWofE can be used to predict not only point events but also area or line events. In this model a fuzzy training layer can be defined based on point, line, and areas using fuzzy membership function; and (2) degree-of-exploration model for WofE is implemented through building a degree of exploration map. This method can be used to assess possible spatial correlations between the degree of exploration and potential evidential layers. Importantly, it would also make it possible to estimate undiscovered resources, if the degree of exploration map is combined with other models that predict where such resources are most likely to occur. These methods and relevant systems were validated using a case study of mineral potential prediction in Gejiu (个旧) mineral district, Yunnan (云南), China. 相似文献
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基于模糊预测对象的证据权方法及其在土地沙漠化评价中的应用 总被引：3，自引：3，他引：0
为了使在地理信息系统中被广泛用于点事件预测的证据权方法能对面事件进行评价和预测, 提出了一种新的基于模糊训练层的证据权方法.它是一种更广泛的证据权方法, 与普通证据权方法所不同的是, 它的训练层是模糊集合, 其取值是它的隶属度.通过适当的变换也可以把点训练层转换为模糊集合.因此, 该方法可以对面事件、点事件和线事件进行评价和预测.该方法可以处理训练层和证据层均为模糊集合的情况, 被称为双重模糊证据权方法.作为该方法的一个应用实例, 本文介绍毛乌素沙漠边缘的晋陕蒙地区土地沙漠化评价的应用实例. 相似文献
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基于GIS的证据权重法在黑龙江省西北部金矿成矿预测中的应用 总被引：5，自引：1，他引：4
在分析了黑龙江西北部地区金矿床成矿特征的基础上,建立了区域金矿找矿模型,然后提取了各类找矿信息,并在GIS中构成了与成矿有关的地层、构造、岩浆岩、遥感、物探、化探异常等11个证据图层。用证据权重模型统计综合证据图层生成研究区成矿后验概率图。按照后验概率相对大小把预测区成矿可能性划分成三级,圈定5个Ⅰ级成矿远景区,为在黑龙江省西北部进一步找矿奠定了基础。 相似文献
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Application of Weights of Evidence to Mineral Potential Mapping of Yujiacun Ore Field in Northwest Yunnan Province, China 总被引：1，自引：0，他引：1
ZHAO Pengda 《中国地质大学学报(英文版)》2003,14(3):269-273
The multivariate information conprehensive processing technique is especially important at present to the digital mineral prospecting. However, the GIS-based weights of evidence have provided us with powerful tool for the quantitative assessment of mineral resource potential. In this paper, the mineralization model is established, based on the achievements made by previous researchers, to mend such deficiencies ad few references on ore fields in Yujiacun, Yunnan Province and the shortage of quantitative prediction and assessment of mineral resources. In addition, the weights of evidence are used to make a systematic quantitative prediction and assessment of mineral resources there, so that 2 mineral prospecting target areas of grade Ⅰ and 8 mineral prospecting target areas of grade Ⅱ are delineated, providing the further mineral resource exploration with the basis for the selection of mineral deposits. 相似文献
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BassamFAIBassam 《中国地质大学学报(英文版)》2003,14(3):283-292
Gengma region, Sanjiang district is known to have some large-scale gold deposits. GIS predictive model for hydroghermal gold potential was carried out in this region using weights of evidence modeling technique. Datasets used include large-scale hydroghermal gold deposit records, geological, geophysical and remote sensing imagery. Based on the geological and mineral characteristics of areas with known gold occurrences in Sanjiang, several geological features were thought to be indicative of areas with potential for the occurrence of hydroghtermal gold deposits. Indicative features were extracted from geoexploration datasets for use as input in the predictive model. The features include host rock lithology, geologic structures, wallrock alteration and associated (volcanic-plutonic) igneous rocks. To determine which of the indicative geological features are important spatial predictors of area with potential for gold deposits, spatial analysis was done through the modeling method. The input maps were buffered and the optimum distance of spatial association for each geological feature was determined by calculating the contrast and studentized contrast. Five feature maps were converted to binary predictor patterns and used as evidential layers for predictive modeling. The binary patterns were integrated in two combinations, each of which consists of four patterns in order to avoid over prediction due to the effect of duplicate features in the two structural evidences. The two produced potential maps define almost similar favorable zones. Areas of intersections between these zones in the two potential maps placed the highest predictive favorable zones in the region. 相似文献
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Daojun Zhang Frits Agterberg Qiuming Cheng Renguang Zuo 《Mathematical Geosciences》2014,46(7):869-885
Weights of evidence and logistic regression are two of the most popular methods for mapping mineral prospectivity. The logistic regression model always produces unbiased estimates, whether or not the evidence variables are conditionally independent with respect to the target variable, while the weights of evidence model features an easy to explain and implement modeling process. It has been shown that there exists a model combining weights of evidence and logistic regression that has both of these advantages. In this study, three models consisting of modified fuzzy weights of evidence, fuzzy weights of evidence, and logistic regression are compared with each other for mapping mineral prospectivity. The modified fuzzy weights of the evidence model retains the advantages of both the fuzzy weights of the evidence model and the logistic regression model; the advantages being (1) the predicted number of deposits estimated by the modified fuzzy weights of evidence model is nearly equal to that of the logistic regression model, and (2) it can deal with missing data. This method is shown to be an effective tool for mapping iron prospectivity in Fujian Province, China. 相似文献