Surpac软件在某钼矿储量估算中的应用

三维矿床模型及可视化研究是我国"数字化矿山"进程中的热点,本文应用数字化矿山软件Surpac,针对某钼矿66个钻孔数据进行三维矿床模型的构建,最终在三维可视化模型的基础上进行了钼矿资源储量估算。与传统计算方法对比结果表明,Surpac软件三维模型所计算的结果准确可靠,且该模型可依据品位的变化进行矿体的动态圈定。     

Estimating gambling venue catchments for impact assessment using a calibrated gravity model

Gambling using electronic gaming machines (EGMs) has emerged as a significant public health issue. While social impact assessments are required prior to the granting of new gaming machine licenses in Australia, there are a few established techniques for estimating the spatial distribution of a venue’s clientele. To this end, we calibrated a Huff model of gambling venue catchments based on a geocoded postal survey (n = 7040). We investigated the impact of different venue attractiveness measures, distance measures, distance decay functions, levels of spatial aggregation and venue types on model fit and results. We then compared model estimates for different behavioural subgroups. Our calibrated spatial model is a significant improvement on previously published models, increasing R² from 0.23 to 0.64. Venue catchments differ radically in size and intensity. As different population subgroups are attracted to different venues, there is no single best index of venue attractiveness applicable to all subpopulations. The calibrated Huff model represents a useful regulatory tool for predicting the extent and composition of gambling venue catchments. It may assist in decision-making with regard to new license applications and evaluating the impact of health interventions such as mandated reductions in EGM numbers. Our calibrated parameters may be used to improve model accuracy in other jurisdictions.     

An agent-integrated irregular automata model of urban land-use dynamics

Urban growth models are useful tools to understand the patterns and processes of urbanization. In recent years, the bottom-up approach of geo-computation, such as cellular automata and agent-based modeling, is commonly used to simulate urban land-use dynamics. This study has developed an integrated model of urban growth called agent-integrated irregular automata (AIIA) by using vector geographic information system environment (i.e. both the data model and operations). The model was tested for the city of San Marcos, Texas to simulate two scenarios of urban growth. Specifically, the study aimed to answer whether incorporating commercial, industrial and institutional agents in the model and using social theories (e.g. utility functions) improves the conventional urban growth modeling. By validating against empirical land-use data, the results suggest that a holistic framework such as AIIA performs better than the existing irregular-automata-based urban growth modeling.     

Multidimensional-unified topological relations computation: a hierarchical geometric algebra-based approach

This article presents a geometric algebra-based model for topological relation computation. This computational model is composed of three major components: the Grassmann structure preserving hierarchical multivector-tree representation (MVTree), multidimensional unified operators for intersection relation computation, and the judgement rules for assembling the intersections into topological relations. With this model, the intersection relations between the different dimensional objects (nodes at different levels) are computed using the Tree Meet operator. The meet operation between two arbitrary objects is accomplished by transforming the computation into the meet product between each pair of MVTree nodes, which produces a series of intersection relations in the form of MVTree. This intersection tree is then processed through a set of judgement rules to determine the topological relations between two objects in the hierarchy. Case studies of topological relations between two triangles in 3D space are employed to illustrate the model. The results show that with the new model, the topological relations can be computed in a simple way without referring to dimension. This dimensionless way of computing topological relations from geographic data is significant given the increased dimensionality of geographic information in the digital era.     

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: A case of the threatened yellow-billed cuckoo in Arizona,USA

Riparian vegetation provides important wildlife habitat in the southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.     

A discrete global grid system for earth system modeling

To support Earth system modeling, we propose a discrete global grid system that expresses multi-resolution spatial data. Specifically, a unified coding model that expresses a grid of nodes, edges, and cells is constructed for a triangular discrete global grid system. To fulfill the requirements of practical applications, we design a code-based topological query method for this grid system and an algorithm to transform between grid codes and geographic coordinates. We evaluate the Global Finite Volume Community Ocean Model (Global-FVCOM) on the triangular discrete global grid system in the proposed uniform coding model. The ocean tidal waves simulated by the Global-FVCOM running on the coded grid are then compared with results obtained using a traditional irregular spherical grid system, and the results display comparable accuracy. The uniform coding model proposed in this paper provides a triangular discrete global grid system that can represent multi-resolution spatial data and can be used in Earth system models. This unified coding model can also be applied to the geographic coordinate system made up of latitudes and longitudes, as well as diamond and hexagonal grids.     

中国省际工业生态效率空间分布及影响因素研究

将中国30省市（不含港、澳、台和西藏地区）作为研究对象,进行省际工业生态效率空间分布及影响因素研究。首先构建中国省际工业生态效率评价指标体系,其次利用DEA-BCC模型结合Malmquist指数对2006~2015年中国30省市在时空两个维度上的工业生态效率进行测算,再次运用Geoda软件分析中国工业生态效率的空间分布特征,最后通过空间误差模型对中国工业生态效率的影响因素进行检验。研究结果表明：① 中国工业生态效率虽呈现小幅度下降趋势,但整体效率水平较高;30省市之间存在明显差异性,呈现出东部>中部>西部的分布格局。② 中国工业生态效率Malmquist指数增长率水平较高;30省市Malmquist指数均为正向增长,呈现出稳定增长趋势;技术进步效率是Malmquist指数的主要推动力。③ 中国30省市工业生态效率呈现正向空间自相关性,且存在明显的集聚状态,近邻效应显著。④ 中国省际工业生态效率的主要影响因素有经济发展水平、产业结构、政府规制、技术进步、外商投资和产业集聚。     

土体水分潜在蒸发确定方法研究进展

以相关领域关于土体蒸发模型研究成果为基础,结合岩土工程蒸发过程的特点,对确定土体潜在蒸发量方法的发展及现状进行介绍,并对每种理论模型的适用条件及参数的确定等进行分析。结果显示：（1）特定的地区、气候条件下,通过多种理论模型对比分析,确定相对合适的理论模型估算潜在蒸发量是必要的。（2）气象参数的区域性很明显,即使是具有相似气候特征的小区域,不同气象站提供的气象资料反演的气象参数也不相同,故根据气象资料反演得到的气象参数要进行修正。（3）现有蒸发测量技术应用于岩土工程的蒸发测量中有待进一步深入研究发展。提出该课题在岩土工程领域今后的研究方向,包括土体稳定蒸发阶段蒸发机制、蒸发的滞后效应、夜间土体水分变化对蒸发的影响、通用蒸发模型的建立及实测蒸发量的尺度效应等。     

Relationships between Tourist Experiential Value and Ice-Snow Tourism Loyalty in Zhangjiakou City,and the Moderating Effects of Travel Companions

The successful bid for the 2022 Winter Olympics has provided a new opportunity for the popularization of ice-snow sports and making improvements in the efficiency of ice-snow tourism in China. Taking Zhangjiakou City in Hebei Province as the research object and using questionnaire analysis and the structural equation model (SEM), this paper examined several hypotheses of the relationship between tourist experiential value and tourist loyalty in the context of ice-snow tourism, and a mediation analysis was conducted to explore the moderating role of travel companions. The results show that: (1) The functional value, emotional value and social value have significant positive effects on tourist loyalty; (2) Tourist satisfaction is a partial mediator between functional value, emotional value, social value and tourist loyalty, and a full mediator between cognitive value and tourist loyalty; and (3) Travel companions play a significant moderating role in the influence of emotional value on tourist loyalty. Based on these findings, several suggestions are put forward for the high-quality development of ice-snow tourism in China, including developing ice-snow family tourism products, building an ice-snow brand with winter Olympics characteristics, constructing the ice-snow industrial system, and cultivating ice-snow culture.     

基于地缘位势模型的中国与南高加索三国地缘关系探讨

特殊的地理位置与突出的资源禀赋优势致使南高加索三国向来为多个文明交汇和大国博弈的地区,探究中国与其地缘关系的演变对双方的经济与地缘合作具有重要意义。论文在国际关系学权力理论的基础上,构建地缘位势模型刻画2000—2020年中国与南高加索三国的地缘关系演变特征。研究发现：(1) 2000—2020年中国在南高加索三国的地缘位势呈现出逐年上升趋势与“三阶段”演变特征,即2000—2005年为低位稳定阶段,2006—2012年为起步增长阶段,2013—2020年为快速增长阶段。(2)从2000—2020年地缘位势平均值、增长速度与增长幅度3个方面看均呈现出中国—亚美尼亚>中国—阿塞拜疆>中国—格鲁吉亚的空间特征。截至2020年,中—亚地缘位势最高;从地缘位势时序特征看,中国—亚美尼亚起步水平低,后期快速上升;中国—阿塞拜疆起步水平高,后期波动上升;中国—格鲁吉亚起步水平低,后期均匀上升。(3)影响双方地缘关系演变的驱动因素分为正向驱动力与负向驱动力。正向驱动力包括地缘区位、地缘经济、地缘文化与地缘外交,其中地缘区位是本底力,地缘经济是主导力,地缘文化是潜在力,地缘外交是根源力。负...