Vegetation of the Northern Russian Far East in geographic information systems

The cartographic method, in combination with computer technologies and special software, was used to develop a series of projects of geographic information systems (GISs), including regional GISs (RGISs) for three administrative regions (Magadan oblast, Chukchi Autonomous Area, and Koryak Autonomous Area) and the territorial GIS Vegetation of the Northern Russian Far East.     

The extraction and utilization of local and scientific geospatial knowledge within the Bluff oyster fishery, New Zealand

This paper assesses the Bluff oyster fishery in New Zealand as a case study in common pool resource management. It discusses ways in which modern information technology, augmented by low-tech data gathering strategies and community ethnography, can be used to produce an integrated scientific and local knowledge-inspired fishery database that lends itself to fostering collaboration in resource management and planning. The specific context and state of the oyster fishery in Bluff are described. Issues regarding undocumented and ephemeral intergenerational knowledge, much of which is geospatial in nature, on the fishery, the current crisis that many see in the future of the fishery, and a lack of cohesion or common sense of purpose between the stakeholder groups are discussed. It is argued that the digital resource that results from the integration of local and scientific knowledge and the potential community building processes that can ensue from collaboration and dialogue around this centrepiece are of central importance in developing an oyster fishery management plan that is holistic in concept and sustainable in purpose.     

基于文献分析工具的国内水资源管理研究论文的可视化综述

以1991~2013年CNKI数据库收录的2 263篇国内水资源管理研究核心期刊论文为数据来源,利用文献计量学引文网络分析工具CiteSpace,绘制国内水资源管理研究的知识图谱。分析了我国水资源管理研究的时间分布、机构力量分布、作者分布、期刊分布、学科和基金分布以及研究热点和趋势。〖JP2〗结果显示：中国科学院和中国水利水电等科研系统实力较强,水利水电工程学、资源科学、环境科学与资源利用是文献分布的主要学科,国家自然科学基金、国家重点基础研究发展计划（973）等是主要基金来源,宏观层面的水资源管理制度和政策研究、流域综合管理和水资源的经济属性等是目前的研究热点,最严格水资源管理制度和水生态文明建设等内容将是未来一段时间的主题     

基于因子强关联分析方法的滑坡易发性评价

在滑坡易发性区划制图过程中,预测模型性能的优劣很大程度上取决于众多影响因子的选择和组合,如何选择滑坡影响因子以优化滑坡预测模型的性能是区域滑坡易发性评价的关键.本文提出一种基于强关联分析的Apriori算法,通过滑坡强关联分析来从预选的15个滑坡影响因子中选择诱发灾害可能性最高的因子进行组合,进而利用随机森林构建滑坡易...     

Assessment and mapping of environmental quality in agricultural soils of Zhejiang Province, China

Heavy metal concentrations in agricultural soils of Zhejiang Province were monitored to indicate the status of heavy metal contamination and assess environmental quality of agricultural soils. A total of 908 soil samples were collected from 38 counties in Zbejiang Province and eight heavy metal （Cd, Cr, Pb, Hg, Cu, Zn, Ni and As） concentrations had been evaluated in agricultural soil. It was found 775 samples were unpolluted and 133 samples were slightly polluted and more respectively, that is approximately 14.65% agricultural soil samples had the heavy metal concentration above the threshold level in this province by means of Nemerow＇s synthetical pollution index method according to the second grade of Standards for Soil Environmental Quality of China （GB15618- 1995）. Contamination of Cd was the highest, followed by Ni, As and Zn were lower correspondingly. Moreover, Inverse Distance Weighted （IDW） interpolation method was used to make an assessment map of soil environmental quality based on the Nemerow＇s pollution index and the soil environmental quality was categorized into five grades. Moreover, ten indices were calculated as input parameters for principal component analysis （PCA） and the principal components （PCs） were created to compare environmental quality of different soils and regions. The results revealed that environmental quality of tea soils was better than that of paddy soils, vegetable soils and fruit soils. This study indicated that GIS combined with multivariate statistical approaches proved to be effective and powerful tool in the mapping of soil contamination distribution and the assessment of soil environmental quality on provincial scale, which is beneficial to environmental protection and management decision-making by local government.     

基于三角网格的电磁数据的内插和可视化方法

研究了从采集的离散点场强生成整个平面区域的场强的插值方法,及生成的场强数据可视化的颜色映射方法.采用基于三角网格的内插技术,先对二维离散点构造三角网格;假定每个三角形的顶点场强、坐标构成一平面空间,三角形内部的未采集点场强可以由顶点决定的场强平面方程插值求得.给出了插值结果可视化的四段制颜色映射解决方案,与目前国际上主流电磁软件颜色映射方式一致.     

城乡生态单元分类、评价与制图研究——以苏州市花桥镇为例

生态单元制图是通过对区域遥感信息的解译及与现场调查信息的叠合,得到可视性较强的生态信息图谱,是将景观生态学成果应用到城乡规划中的一条有效途径。生态单元制图如何与中国城乡规划编制相衔接,提供专业、可靠的基础性研究成果,是本文期待解决的主要问题。提出了将城市所有用地类型都作为研究对象的"本土化"和"城市化"的生态单元分类方法,完成了符合我国《城市用地分类与建设用地标准》的生态单元制图分类系统(9大类37小类)及其景观生态学指数分析;通过绿地率、建筑密度、乔木树冠覆盖度、植物物种丰富度等各单项指标进行分层及叠加综合评价制图,科学全面地识别不同用地的生态价值。认为可以通过提出诸如各类城市用地的附属绿地的面积、容积率高低、建筑退让范围、大乔木的保护措施等具体细致的规划要求,来保护及调整城市用地内部的绿地面积及植被丰富度、乔木的覆盖度等生态指标,确保重要的城镇自然系统在城市开发过程中不受冲击,以及如何实现我国城市绿地的"精明增长"等后续研究方向。     

阜山金矿区构造变形岩相特征与成矿流体构造物理化学特征研究

在构造动力成岩成矿思路的指导下 ,通过构造变形岩相形迹填图区分不同的岩石构造单元 ,并在此基础上研究不同构造带的流体特征 ,进行物理化学场结构与界面分析及流体参量填图 ,试图建立阜山金矿床成矿的构造物理化学模型     

Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting,generalized additive models,and tree-based methods

Many efforts are underway to produce broad-scale forest attribute maps by modelling forest class and structure variables collected in forest inventories as functions of satellite-based and biophysical information. Typically, variants of classification and regression trees implemented in Rulequest's^© See5 and Cubist (for binary and continuous responses, respectively) are the tools of choice in many of these applications. These tools are widely used in large remote sensing applications, but are not easily interpretable, do not have ties with survey estimation methods, and use proprietary unpublished algorithms. Consequently, three alternative modelling techniques were compared for mapping presence and basal area of 13 species located in the mountain ranges of Utah, USA. The modelling techniques compared included the widely used See5/Cubist, generalized additive models (GAMs), and stochastic gradient boosting (SGB). Model performance was evaluated using independent test data sets. Evaluation criteria for mapping species presence included specificity, sensitivity, Kappa, and area under the curve (AUC). Evaluation criteria for the continuous basal area variables included correlation and relative mean squared error. For predicting species presence (setting thresholds to maximize Kappa), SGB had higher values for the majority of the species for specificity and Kappa, while GAMs had higher values for the majority of the species for sensitivity. In evaluating resultant AUC values, GAM and/or SGB models had significantly better results than the See5 models where significant differences could be detected between models. For nine out of 13 species, basal area prediction results for all modelling techniques were poor (correlations less than 0.5 and relative mean squared errors greater than 0.8), but SGB provided the most stable predictions in these instances. SGB and Cubist performed equally well for modelling basal area for three species with moderate prediction success, while all three modelling tools produced comparably good predictions (correlation of 0.68 and relative mean squared error of 0.56) for one species.