Use of Noise to Augment Training Data: A Neural Network Method of Mineral–Potential Mapping in Regions of Limited Known Deposit Examples

One of the main factors that affects the performance of MLP neural networks trained using the backpropagation algorithm in mineral-potential mapping isthe paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the classification performance of a trained network and the quality of the resultant prospectivity map increasesignificantly with increased numbers of deposit patterns. Experiments are conducted to determine the optimum amount of noise using both uniform and normally distributed random noise. Through the addition of noise to the original deposit training data, the number of deposit training patterns is increased from approximately 50 to 1000. The percentage of correct classifications significantly improves for the independent test set as well as for deposit patterns in the test set. For example, using ±40% uniform random noise, the test-set classification performance increases from 67.9% and 68.0% to 72.8% and 77.1% (for test-set overall and test-set deposit patterns, respectively). Indices for the quality of the resultant prospectivity map, (i.e. D/A, D × (D/A), where D is the percentage of deposits and A is the percentage of the total area for the highest prospectivity map-class, and area under an ROC curve) also increase from 8.2, 105, 0.79 to 17.9, 226, 0.87, respectively. Increasing the size of the training-stop data set results in a further increase in classification performance to 73.5%, 77.4%, 14.7, 296, 0.87 for test-set overall and test-set deposit patterns, D/A, D × (D/A), and area under the ROC curve, respectively.     

Economic Filters Applied to Quantitative Mineral Resource Simulations

The U.S. Geological Survey has developed a technique that allows mineral resource experts to apply economic filters to estimates of undiscovered mineral resources. This technique builds on previous work that developed quantitative methods for mineral resource assessments. A Monte-Carlo calculation uses mineral deposit models to estimate commodity grades and tonnages of undiscovered deposits. The results then are analyzed using simple estimates of capital expenditures and daily operating costs for a mine and associated mill. The daily operating costs and the value of the ore are used to calculate the net present value of the deposit, which is compared to the capital expenditures to determine whether the deposit is economic. Repetition of these calculations for many deposits produces a table that can be interpreted in terms of the probability of there being deposits that have anet present value exceeding some specified amount. Sample calculations indicate that applying economic filters to simulated mineral resources might change the perception of the results compared to presenting the calculations in terms of the expected mean gross-in-place value of the minerals.     

Use of Fuzzy Membership Input Layers to Combine Subjective Geological Knowledge and Empirical Data in a Neural Network Method for Mineral-Potential Mapping

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.     

信息产业发展对宁波城市内部结构的影响

该文从信息产业的概念和分类人手，着重分析信息产业发展对城市产业结构、社会结构和空间结构的影响。对宁波市信息产业与城市产业结构的内在关系进行了量化研究；探讨信息产业对城市内部社会结构分异的变化趋势；提出了信息产业对城市内部空间结构功能置换的两种模式和地域扩张的促动机制。     

中国劳动力资源配置区域差异分析

区域经济发展和经济结构调整的关键在于劳动力资源的合理配置。中国各省市区劳动力资源的产业和行业分布具有显著的地域差异，在空间分布上东、中、西部具有差异，西部地区的西南和西北地区也存在差别，这种规律反映了我国经济发展和产业结构高级化的区域差异。根据劳动力行业配置的区位熵排序结果，将各省市区分成4种类型：大都市型、沿海高工业化水平型、中等工业化水平型、中下等工业化水平型。这些类型具有自东向西有规律性的分布，与我国的经济发展格局和工业化水平的东西差异相应。     

高山增水效应及其水资源意义

根据高山上云、雾、雨、雪、径流等水资源丰富现象，分析了高山冰川、植被、地形等与汽-水作用关系，提出高山增水效应概念和高山区水资源开发与保护的新思路。高大山体及其造成的垂向对流、高山冰川和高山植被共同作用形成了高山增水效应，并形成良性增水系统。山体愈高大，增水效应愈明显。对内陆干旱地区开发利用更多的高山水资源具有意义。     

省级空间信息基础设施建设的意义及途径--以西藏自治区为例

省级空间信息基础设施建设是实现信息化资源、经济、环境管理的基础,但省级空间信息基础设施发展是一项具有战略性的巨型系统工程,跨区域、跨部门、跨学科,其建设和部署必须有统一的领导和安排。文章以西藏自治区为例,根据西藏自治区目前信息化发展现状,探讨了西藏自治区省级空间信息基础设施建设的途径及意义,认为西藏省级空间信息基础设施建设的第一步是提出项目建设的框架及规划,其次根据信息化发展现状及投资力度,制订近期、中长期目标及建设内容,然后根据规划分阶段实施。最后文章讨论了西藏实施省级空间信息的重要意义,为实现西藏电子政府、指导区域经济发展提供依据。     

Digital effects in the spatial economy of film: towards a research agenda

A new assemblage of digital technologies, organized around compressed software formats and broadband Internet infrastructures, is reconfiguring the motion picture industry. In this paper, I review the impacts of digitization upon the spatial economy of film in the United States via a commodity chain framework. The discussion raises some important themes for conceptual debate in economic geography.     

Crisis, coincidences and strategic market behaviour: the internationalization of Indonesian clothing brand-owners

Despite the fact that most Indonesian brand-owners continue to emphasize their marketing activities in the domestic market, several brand-owners have started to export clothing under their own label. This has been particularly the result of the economic crisis in the late 1990s, which affected companies serving the domestic market. Companies were trying to compensate for the loss of sales on the domestic market by redirecting their marketing activities to foreign countries. This export strategy has been driven largely by the sole aim to survive. However, in addition to these export activities, some companies have rather sophisticated, long-standing business relations to their distributors in overseas markets. This paper explores these export activities in the context of the global commodity chain framework.     

Impact of climate change and variability on water resources in Heihe River Basin

Studies indicate that the climate has experienced a dramatic change in the Heihe River Basin with scope of temperature rise reaching 0.5-1.1oC in the 1990s compared to the mean value of the period 1960-1990, precipitation increased 18.5 mm in the 1990s compared to the 1950s, and 6.5 mm in the 1990s compared to the mean value of the period 1960-1990, water resources decreased 2.6×108 m3 in the 1990s compared to the 1950s, and 0.4×108 m3 in the 1990s compared to the mean value of the period 1960-1990. These changes have exerted a greater effect on the local environment and socio-economy, and also made the condition worsening in water resources utilizations in the Heihe Rver Basin.