共查询到20条相似文献，搜索用时 326 毫秒
1.
论GIS的模糊不确定性 总被引：3，自引：0，他引：3
文章对GIS的模糊不确定性进行了研究,主要目的是系统论证GIS确实舍有模糊不确定性,使人们真正认识到GIS不仅含有随机不确定性而且含有模糊不确定性。文章主要是从GIS构成的四部分出发即：硬件、软件、人员和数据,分别对这四部分论述其模糊不确定性,即GIS存在着GIS数据模糊不确定性、GIS硬件模糊不确定性、GIS软件模糊不确定性和GIS人员的模糊不确定性;最后,指出GIS的模糊不确定性的研究还处于初步阶段,特别是人员的模糊不确定性还有很多因素无法进行研究以及如何减弱GIS各部分的模糊不确定性的理论和方法。 相似文献
2.
遥感数据的模糊不确定性及其处理方法探讨 总被引：11，自引：0，他引：11
通过对遥感数据生成机理的分析,得出遥感数据存在不确定性,并进一步论证了不确定性中含有模糊不确定性,这样对遥感数据的不确定性处理更加全面和合理,从而达到提高遥感数据的精度和消除遥感数据不确定性的目的。综合国内外对遥感数据模糊不确定性的处理研究,探讨了几种处理方法,发现还没有一种方法能圆满解决遥感数据的模糊不确定性。 相似文献
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L. Bingham A. Escalona D. Karssenberg 《International journal of geographical information science》2016,30(8):1552-1578
This article applies error propagation in a Monte Carlo simulation for a spatial-based fuzzy logic multi-criteria evaluation (MCE) in order to investigate the output uncertainty created by the input data sets and model structure. Six scenarios for quantifying uncertainty are reviewed. Three scenarios are progressively more complex in defining observational data (attribute uncertainty); while three other scenarios include uncertainty in observational data (position of boundaries between map units), weighting of evidence (fuzzy membership assignment), and evaluating changes in the MCE model (fuzzy logic operators). A case study of petroleum exploration in northern South America is used. Despite the resources and time required, the best estimate of input uncertainty is that based on expert-defined values. Uncertainties for fuzzy membership assignment and boundary transition zones do not affect the results as much as the attribute assignment uncertainty. The MCE fuzzy logic operator uncertainty affects the results the most. Confidence levels of 95% and 60% are evaluated with threshold values of 0.7 and 0.5 and show that accepting more uncertainty in the results increases the total area available for decision-making. Threshold values and confidence levels should be predetermined, although a series of combinations may yield the best decision-making support. 相似文献
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To integrate geological data to obtain an interpretation of the geology and natural resources of an area, we need a methodology that provides a holistic approach, addressing all basic issues in geological relations as well as uncertainties that arise with the evolution of basic geological knowledge of an area.In spite of the major role played by geoinformatics—the application of mathematics, statistics, and computer science to solve geological problems—we do not yet have a properly designed method for organizing geological data, including raw data, conceptual models, modeling results, and geological integration. Such a rapid method should provide for updating of existing interpretations based on new data or new theories.A systematic view of data integration and interpretation is important in petroleum exploration and petroleum engineering. We point out the more striking tools already available but of restricted use and some of the possible solutions for known problems that still require research and development. 相似文献
7.
The representation of geoscience information for data integration 总被引：17，自引：0，他引：17
In mineral exploration, resource assessment, or natural hazard assessment, many layers of geoscience maps such as lithology, structure, geophysics, geochemistry, hydrology, slope stability, mineral deposits, and preprocessed remotely sensed data can be used as evidence to delineate potential areas for further investigation. Today's PC-based data base management systems, statistical packages, spreadsheets, image processing systems, and geographical information systems provide almost unlimited capabilities of manipulating data. Generally such manipulations make a strategic separation of spatial and nonspatial attributes, which are conveniently linked in relational data bases. The first step in integration procedures usually consists of studying the individual charateristics of map features and interrelationships, and then representing them in numerical form (statistics) for finding the areas of high potential (or impact).Data representation is a transformation of our experience of the real world into a computational domain. As such, it must comply with models and rules to provide us with useful information. Quantitative representation of spatially distributed map patterns or phenomena plays a pivotal role in integration because it also determines the types of combination rules applied to them.Three representation methods—probability measures, Dempster-Shafer belief functions, and membership functions in fuzzy sets—and their corresponding estimation procedures are presented here with analyses of the implications and of the assumptions that are required in each approach to thematic mapping. Difficulties associated with the construction of probability measures, belief functions, and membership functions are also discussed; alternative procedures to overcome these difficulties are proposed. These proposed techniques are illustrated by using a simple, artificially constructed data set. 相似文献
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多灾种综合风险评估软层次模型 总被引：2，自引：1，他引：1
在复杂的灾害风险系统中,风险并非简单相加,但目前的研究成果基本是单一灾种简单相加得到的综合风险,缺乏可靠性。因此,此研究基于灾害风险系统理论,引入模糊信息粒化方法和模糊转化函数,利用模糊近似推理理论和方法,建立一个多灾种综合风险评估软层次模型。研究表明该模型的优势：1）不仅考虑了灾害风险系统中的确定性,而且还包括了随机不确定性和模糊不确定性;2）利用模糊信息粒化方法不仅减少了数据的不确定性,而且还包括了一些主观信息,使得评估结果更加接近实际,理论与实际紧密结合,更有利于风险管理者和决策者为减少损失规避风险提供依据;3）通过模糊转化函数将不同灾种得到的不同量纲的量转化同一量纲的量,以便于综合分析和模糊近似推理,获得多灾种综合风险。以云南省丽江地区（市）的地震－洪水灾害为例,验证多灾种综合风险评估软层次模型的实用性,并将其结果与世界银行灾害管理中心和哥伦比亚大学灾害和风险研究中心所建议的风险评估模型（HMU－CHRR模型）的结果进行比较分析,讨论了本研究所建模型在多灾种综合风险评估中的特点。 相似文献
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Venkataraman G. Madhavan B. Babu Ratha D. S. Antony Joju P. Goyal R. S. Banglani S. Roy S. Sinha 《Natural Resources Research》2000,9(1):27-42
This study involves the integration of information interpreted from data sets such as LandsatTM, Airborne magnetic, geochemical, geological, and ground-based data of Rajpura—Dariba,Rajasthan, India through GIS with the help of (1) Bayesian statistics based on the weights ofevidence method and (2) a fuzzy logic algorithm to derive spatial models to target potentialbase-metal mineralized areas for future exploration. Of the 24 layers considered, five layers(graphite mica schist (GMS), calc-silicate marble (CALC), NE-SW lineament 0–2000 mcorridor (L4-NESW), Cu 200–250 ppm, and Pb 200–250 ppm) have been identified from theBayesian approach on the basis of contrast. Thus, unique conditions were formed based onthe presence and absence of these five map patterns, which are converted to estimate posteriorprobabilities. The final map, based on the same data used to determine the relationships, showsfour classes of potential zones of sulfide mineralization on the basis of posterior probability.In the fuzzy set approach, membership functions of the layers such as CALC, GMS, NE-SWlineament corridor maps, Pb, and Cu geochemical maps have been integrated to obtain thefinal potential map showing four classes of favorability index. 相似文献
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Use of GIS layers, in which the cell values represent fuzzy membership variables, is an effective method of combining subjective geological knowledge with empirical data in a neural network approach to mineral-prospectivity mapping. In this study, multilayer perceptron (MLP), neural networks are used to combine up to 17 regional exploration variables to predict the potential for orogenic gold deposits in the form of prospectivity maps in the Archean Kalgoorlie Terrane of Western Australia. Two types of fuzzy membership layers are used. In the first type of layer, the statistical relationships between known gold deposits and variables in the GIS thematic layer are used to determine fuzzy membership values. For example, GIS layers depicting solid geology and rock-type combinations of categorical data at the nearest lithological boundary for each cell are converted to fuzzy membership layers representing favorable lithologies and favorable lithological boundaries, respectively. This type of fuzzy-membership input is a useful alternative to the 1-of-N coding used for categorical inputs, particularly if there are a large number of classes. Rheological contrast at lithological boundaries is modeled using a second type of fuzzy membership layer, in which the assignment of fuzzy membership value, although based on geological field data, is subjective. The methods used here could be applied to a large range of subjective data (e.g., favorability of tectonic environment, host stratigraphy, or reactivation along major faults) currently used in regional exploration programs, but which normally would not be included as inputs in an empirical neural network approach. 相似文献
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Arko Lucieer Menno-Jan Kraak 《International journal of geographical information science》2013,27(5):491-512
In this study, we propose, describe, and demonstrate a new geovisualization tool to demonstrate the use of exploratory and interactive visualization techniques for a visual fuzzy classification of remotely sensed imagery. The proposed tool uses dynamically linked views, consisting of an image display, a parallel coordinate plot, a 3D feature space plot, and a classified map with an uncertainty map. It allows a geoscientist to interact with the parameters of a fuzzy classification algorithm by visually adjusting fuzzy membership functions and fuzzy transition zones of land-cover classes. The purpose of this tool is to improve insight into fuzzy classification of remotely sensed imagery and related uncertainty. We tested our tool with a visual fuzzy land-cover classification of a Landsat 7 ETM+ image of an area in southern France characterized by objects with indeterminate boundaries. Good results were obtained with the visual classifier. Additionally, a focus-group user test of the tool showed that insight into a fuzzy classification algorithm and classification uncertainty improved considerably. 相似文献
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Automatic drainage pattern recognition in river networks 总被引：1，自引：0，他引：1
Ling Zhang Eric Guilbert 《International journal of geographical information science》2013,27(12):2319-2342
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TREVOR J. DAVIS C. PETER KELLER 《International journal of geographical information science》2013,27(5):409-434
The techniques of fuzzy logic and Monte Carlo simulation are combined to address two incompatible types of uncertainty present in most natural resource data: thematic classification uncertainty and variance in unclassified continuously distributed data. The resultant model of uncertainty is applied to an infinite slope stability model using data from Louise Island, British Columbia. Results are summarized so as to answer forestry decision support queries. The proposed model of uncertainty in resource data analysis is found to have utility in combining different types of uncertainty, and efficiently utilizing available metadata. Integration of uncertainty data models with visualization tools is considered a necessary prerequisite to effective implementation in decision support systems. 相似文献
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Irrigation expansion and dynamics of desertification in the Circum-Aral region of Central Asia 总被引：2，自引：0，他引：2
The aim of this paper is to examine the causes and dynamics of desertification in one of the world's worst disaster areas, the Aral Sea region. During the 1960s, a large-scale irrigation campaign aimed at achieving independence in cotton production was launched in Soviet Central Asia. From 1960, ever-increasing water withdrawal from the two inflowing rivers—the Amudarya and Syrdarya—has resulted in the dramatic decline of the level, area and volume of the sea. Desiccation was accompanied by the development and further acceleration of various desertification processes. The study reveals that, for different reasons, the predominant direction and trends of desertification have been changing during each of the four identified periods from 1961 to 1995. The main desertification processes recorded in the Circum-Aral region (‘Priaraliye’ in Russian) were a decline in the groundwater level, increased mineralization and chemical pollution of watercourses, soil salinization, the spread of xerophytic and halophytic vegetation, and deflation and aeolian accumulation, with the development of salt storms. Recent improvements in the situation are also discussed, along with their causes. Zonation of Priaraliye is carried out and an outlook for the future is given. 相似文献
15.
Andrei Borisovich Vistelius (1915–1995), along with William Christian Krumbein (1902–1979) and John Cedric Griffiths (1912–1992), were dominant figures in the formative and development years of mathematical (or quantitative) geology as a subdiscipline of geology. 相似文献
16.
水资源系统中的不确定性及风险分析方法 总被引：23，自引：5，他引：23
水资源系统中广泛存在着不确定性，其对系统的影响很大，甚至带来灾害性风险(如洪水、干旱)，是风险产生的根本原因，也是水资源系统研究遇到的难点问题之一。从分析总结水资源系统中存在的不确定性因素的类型(包括随机性、模糊性、灰色性及未确知性)及研究方法，提出水资源不确定性系统的概念。从不确定性因素的数学处理方法入手，介绍基于概率统计学(处理随机性)的风险计算模型，提出基于模糊隶属度(处理模糊性)、基于灰数(处理灰性)和基于未确知数(处理未确知性)的风险计算模型。为水资源系统风险规划与管理奠定基础。 相似文献
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J. L. Silván‐Cárdenas L. Wang F. B. Zhan 《International journal of geographical information science》2013,27(3):295-318
The degree of uncertainty of many geographical objects has long been known to be in intimate relation with the scale of its observation and representation. Yet, the explicit consideration of scaling operations when modeling uncertainty is rarely found. In this study, a neural network‐based data model was investigated for representing geographical objects with scale‐induced indeterminate boundaries. Two types of neural units, combined with two types of activation function, comprise the processing core of the model, where the activation function can model either hard or soft transition zones. The construction of complex fuzzy regions, as well as lines and points, is discussed and illustrated with examples. It is shown how the level of detail that is apparent in the boundary at a given scale can be controlled through the degree of smoothness of each activation function. Several issues about the practical implementation of the model are discussed and indications on how to perform complex overlay operations of fuzzy maps provided. The model was illustrated through an example of representing multi‐resolution, sub‐pixel maps that are typically derived from remote sensing techniques. 相似文献
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This paper describes a hybrid fuzzy weights-of-evidence (WofE) model for mineral potential mapping that generates fuzzy predictor
patterns based on (a) knowledge-based fuzzy membership values and (b) data-based conditional probabilities. The fuzzy membership
values are calculated using a knowledge-driven logistic membership function, which provides a framework for treating systemic
uncertainty and also facilitates the use of multiclass predictor maps in the modeling procedure. The fuzzy predictor patterns
are combined using Bayes’ rule in a log-linear form (under an assumption of conditional independence) to update the prior
probability of target deposit-type occurrence in every unique combination of predictor patterns. The hybrid fuzzy WofE model
is applied to a regional-scale mapping of base-metal deposit potential in the south-central part of the Aravalli metallogenic
province (western India). The output map of fuzzy posterior probabilities of base-metal deposit occurrence is classified subsequently
to delineate zones with high-favorability, moderate favorability, and low-favorability for occurrence of base-metal deposits.
An analysis of the favorability map indicates (a) significant improvement of probability of base-metal deposit occurrence
in the high-favorability and moderate-favorability zones and (b) significant deterioration of probability of base-metal deposit
occurrence in the low-favorability zones. The results demonstrate usefulness of the hybrid fuzzy WofE model in representation
and in integration of evidential features to map relative potential for mineral deposit occurrence. 相似文献
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The evolution of landforms and soils from the Jaldi and Maiskhali anticlines and adjoining areas in a part of the coastal region of the north–south trending fold belt of Bangladesh during the Late Quaternary Period has been investigated. Based on the degree of soil development and luminescence dating, eight soil geomorphic units have been deciphered and grouped into four members (I–IV) of a morphostratigraphic sequence for the study area. Various soil geomorphic units included in different member/sub-members are: Member I—river floodplains and active tidal flats (< 500 years); Member II—distal Piedmont Plains and old tidal flats (0.5–2 ka); Member III—proximal Piedmont Plains (6–10 ka); and Member IV—Mainland Higher and Lower Hillocks and Island Hillocks (> 15 ka). Member IV is further subdivided into Sub-member IVa—Island Hillocks (15–18 ka); Sub-member IVb—Mainland Lower Hillocks (23–25 ka); and Sub-member IVc—Mainland Higher Hillocks (30–35 ka).The youngest and poorly developed soils of Member I show features related to hydromorphism. Moderately developed soils of Members II and III show a fersiallitisation stage of pedogenesis. Member IV includes ‘strongly developed soils’ with a ferrugination stage of pedogenesis. These soils also exhibit degradation and poor birefringence of argillans and ferriargillans, indicating a significant change in conditions of pedogenesis, probably related to a paleoclimatic change from a subhumid to semiarid phase (40 ka to about 16 ka) to a hot humid to subhumid phase (16 ka–present). Parent material composition and physiography also have affected the pedogenesis in the area.Based on ages and heights above the mean sea level for the five terraces recognized in the study area, the overall base-level rise rates calculated are about 3.6 mm/year (18 ka–present) for the Maiskhali Island and 2.86 mm/year (35 ka–present) for the mainland (Jaldi anticline). These base level changes represent combined effects of eustatic sea level and tectonic uplift due to folding. 相似文献
20.
土地利用变化在空间维和时间维上是一个渐进的、不确定的复杂过程,而模糊理论正是解决不确定性现象的一种合适的方法,所以尝试运用模糊推理理论对土地利用变化进行深入的探讨.以江苏省南通市崇川区为研究区,建立了基于自适应神经模糊推理系统(ANFIS)的土地利用变化模糊推理模型.通过利用ANFIS训练获得模型的隶属函数及参数.并运用该模型对研究区进行土地利用变化的模拟和预测.研究结果表明,通过利用ANFIS建立的模型,基本上可以模拟研究区复杂而不确定的土地利用变化过程,同时ANFIS可以有效地简化模糊推理模型结构,使得模型更具灵活性.因此,为土地利用变化模拟提供了另一种可行的解决思路. 相似文献