Practising geographical knowledge: fields, bodies and dissemination

In this article we make a case for a renewed emphasis upon some of the generic, albeit often tacit, spaces of practice that we share across our sub–disciplinary boundaries. In this we seek to emphasize the ways in which everyday actions make up the grander facades of institutional agendas, empirical projects and disciplinary schools of thought. To achieve this we trace the performance of disciplinary contours and identities across three important sites: the field, the body and the act of dissemination. There are, we will argue, significant commonalities that bind us as disciplinary practitioners in terms of how we perform within and across these sites, and indeed, how we join them up through our practices.     

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.     

我国制造业集群分布现状及其发展特征

目前，在我国很多地区，例如长江三角洲和珠江三角洲，以个别市、县、镇或村为范围，集中某种产品的生产所形成的制造业集群表现出极强的活力和竞争力。集群中的很多企业根据不同技术能力，纷纷进入了全球价值链，已经使中国成为跨国公司控制之下的“世界工厂”。文章从目前局限性的资料出发，将这一现象的分布现状进行了分析，并对其发展特征进行了描述。认为，在新型工业化道路中，企业只有在本地舍作和结网，加强创新，才能有效地插入全球价值链，参与国际竞争。为此，需要通过政策的支持，鼓励合作的信用环境，使价值链上的各级企业以及利益相关者进行合作。