企业迁移的动因识别——基于内容分析法的研究

通过对2000~2009年中国重要报纸全文数据库中涉及的116次企业迁移的相关报道的内容分析,着重识别了促使中国企业迁移的各种动因以及不同动因的相对重要性。结果表明,首先,政策动因、经济动因、战略动因和情感动因是中国企业迁移的四大类动因,涉及环境管理、业务调整等15个具体动因;其次,四大类动因中政策动因显得更为重要,其次是战略动因和经济动因,情感动因的重要性十分有限;再次,不同动因对迁移年份、迁移主体和迁移范围不同的企业而言的重要性存在显著差异,具体来说,近年来政策动因的重要性逐渐增强且超越了战略与经济动因,同时政策动因还是企业整体迁移和区域内迁移的最重要动因,而对部分迁移和跨区域迁移而言最重要的则是经济动因。     

Synthesized Model of Geospatial Thinking

Since the National Research Council (2006) report Learning to Think Spatially formalized geospatial thinking, researchers and educators have recognized the importance of investigating and understanding geospatial thinking. Conceptual frameworks have been developed and applied to individual research projects. Although useful in these contexts and potentially extendable to other related inquiries, they also overlap and conflict with one another. Moreover, the separate frameworks are built on different constructs, resulting in a disparate rather than a cohesive theoretical foundation for geospatial thinking. This article synthesizes existing frameworks and generates a model that represents conceptual advances and provides a foundation for research question generation.     

Using adaptively coupled models and high-performance computing for enabling the computability of dust storm forecasting

Forecasting dust storms for large geographical areas with high resolution poses great challenges for scientific and computational research. Limitations of computing power and the scalability of parallel systems preclude an immediate solution to such challenges. This article reports our research on using adaptively coupled models to resolve the computational challenges and enable the computability of dust storm forecasting by dividing the large geographical domain into multiple subdomains based on spatiotemporal distributions of the dust storm. A dust storm model (Eta-8bin) performs a quick forecasting with low resolution (22 km) to identify potential hotspots with high dust concentration. A finer model, non-hydrostatic mesoscale model (NMM-dust) performs high-resolution (3 km) forecasting over the much smaller hotspots in parallel to reduce computational requirements and computing time. We also adopted spatiotemporal principles among computing resources and subdomains to optimize parallel systems and improve the performance of high-resolution NMM-dust model. This research enabled the computability of high-resolution, large-area dust storm forecasting using the adaptively coupled execution of the two models Eta-8bin and NMM-dust.     

市域农业产业化研究--以郴州市为例

撤地（或撤县）建市后,市域农业经济的取向如何？推进农业产业化是其必然选择。文章以郴州市为例,在对市域农业产业化的含义、特征和模式进行分析的基础上,进而提出了推进市域农业产业化的若干政策思路。     

中原城市群与郑州大都会建设的战略思考

鉴于地域经济向心成长的客观规律和我国实施“梯度开发、东靠西移”总体战略的必然要求；国家和河南省应着力加快建设并依托以郑州为核心的中原城市群，构筑中原都会带，催育郑州特大都会，即建设大郑州。建议国家在此设立内陆中原经济开放区和经济特区，催促中原特大区域经济重心和核心区的形成，促进中原经济的崛起和我国中西部的开放开发。     

Imagining the Dirty Green City

ABSTRACT

The green city is being elevated to the status of a self-evident good in the theory and practice of urban sustainability. A large literature documents the linked environmental, economic and well-being benefits associated with vegetating urban systems to maximise the ecosystem function. Contemporary urban greening seeks to challenge attempts to expel nature from the city in a quest for order and control. However, by imagining nature as a new mode of urban purification, much effort in the name of the green city inverts and reproduces dualistic understandings of natural and built space. In response, we disrupt the normative dialectics of purity and dirt that sustain this dualism to expose the untidy but fertile ground of the green city. We draw together Ash Amin’s four registers of the Good City – relatedness, rights, repair and re-enchantment – with the artworks of the Australian visual ecologist Aviva Reed. Our work seeks to enrich the practice of more-than-human urbanism through ‘dirt thinking’ by imagining the transformative possibilities in, of and for the dirty green city.     

STRATEGIC PLANNING FOR GEOGRAPHY DEPARTMENTS?

Strategic planning is a technique from the commercial world which could assist geography departments in adapting to today's more demanding administrative environments and thereby further the development of the discipline. This paper sets out the fundamentals of planning as a prelude to a generic departmental plan. Key inclusions are explained and certain problems of application are discussed, should departments adopt such an approach.     

Teaching Topographic Map Skills and Geomorphology Concepts with Google Earth in a One-Computer Classroom

Teaching high-school geomorphological concepts and topographic map reading entails many challenges. This research reports the applicability and effectiveness of Google Earth in teaching topographic map skills and geomorphological concepts, by a single teacher, in a one-computer classroom. Compared to learning via a conventional instructional method, students learning with Google Earth do not have different geomorphological concepts development because both settings enable students to learn with similar static representation. However, students learning with Google Earth improve topographic map skills significantly compared to the conventional instructional method. This is because of the 3D landscape visualization and prior knowledge connections available with Google Earth.     

铜陵矿集区姚家岭锌金多金属矿床深部地质空间信息相关性数据挖掘

姚家岭锌金多金属矿床是长江中下游成矿带铜陵矿集区近年来新发现的特大型热液多金属矿床,矿床位于铜陵断隆区与繁昌断凹区的过渡部位,成矿过程受构造、裂隙和矿液运移模式等因素的控制。成矿作用分为多个阶段,矿床范围内蚀变作用强烈,蚀变类型复杂多样,矿化不均匀。当前大数据思维为地质研究开辟了新思路,采用全数据模式、从数据出发的大数据分析方法可以有效探索研究矿床。基于姚家岭矿床的钻孔数据,结合已有研究成果,创建深部数据挖掘范围,在该范围内采用反距离权重插值法建立姚家岭块体模型,然后选择三维欧式距离场及空间相关程度定量化分析对深部空间信息进行相关性数据挖掘。结果表明,姚家岭矿床的铅锌矿体、金矿体和铜矿体与二叠系栖霞组重叠超过50%,60%左右铅锌矿体与石炭系的空间距离在500 m以内, 80%左右金矿体和铜矿体与石炭系的空间距离在500 m以内。铅锌矿体与角砾斑岩和角砾大理岩的空间相关性最高,相关程度分别为40.37%和24.77%;金矿体与角砾斑岩的空间相关性最高,相关程度分别为13.76%和5.5%;铜矿体与角砾斑岩、角砾大理岩和角砾灰岩的相关性最高,相关程度分别为36.17%、16.51%和15...     

Applying design thinking methods to ecosystem management tools: Creating the Great Lakes Aquatic Habitat Explorer

Ecosystem management (EM) requires new tools to facilitate stakeholder access to information and analysis, however these tools are often not perceived by stakeholders to be usable, useful, and salient to their concerns. This paper provides a case study which applies new participatory design methods, known as design thinking, to create an EM tool called the Great Lakes Aquatic Habitat Explorer. Both participating and non-participating stakeholders rated the usability of the resulting tool positively, and stakeholders who attended design workshops rated the perceived usefulness and salience of the resulting tool more highly than those who had not. Design workshop survey data found that the methods produced an environment of collaborative learning among participants, including diverse participants, authentic dialog, and creativity. Design thinking methods hold promise for the development of new tools which better respond to the needs of EM stakeholders.