Multiscalar Settlement Ecology Study of Piedmont Village Tradition Communities,A.D. 1000–1600

This research analyzes the spatial patterning of settlement sites in relation to landscape features to determine the factors that influenced settlement location choices for Late Precontact (A.D. 1000–1600) Piedmont Village Tradition (PVT) communities in the Yadkin, Dan, Haw, and Eno river valleys of the Piedmont Southeast. We employ geographic information systems to estimate characteristics of past landscapes, nearest neighbor analysis to describe basic settlement patterns, and discriminant function analysis to determine spatial correlations between settlements and landscape features. We examine the data on three scales and also assess potential changes over time. Results indicate that settlement location choices were broadly similar on the regional scale, but specific influences varied between and within valleys and over time. When examined with current archaeological, ethnohistoric, and linguistic information, the results suggest that PVT communities engaged in regional interaction networks in highly variable ways and that the relationship between subsistence and settlement varied according to settlement size. Using these results, we explore the roles PVT communities played in the formation and maintenance of natural and cultural landscapes in the Late Precontact Southeast.     

The Hellenistic and Roman Syracuse (Sicily) Fine Pottery Production Explored by Chemical and Petrographic Analysis

The chemical composition and petrographic features of 51 samples of fine pottery selected from the archaeological site of Syracuse have been established by means of optical microscopy and X‐ray fluorescence spectrometry, with the aim of creating a reference group for the ceramics produced in this important Greek colony during the Hellenistic–Roman period. This reference group is constrained by the analysis of six kiln wasters and of raw materials outcropping in the studied area. Among the studied findings, the main part is assignable imputably to local production, while some specimens probably come from Greece and other colonies (Messina and Gela). The Syracuse fine pottery is characterized by inclusions formed mainly by quartz and micaceous and fossiliferous groundmass. The used pastes were more or less purified through the removal of the sandy‐to‐coarse silty granulometric fraction. The multivariate statistical analysis of chemical data permits the identification of production at Syracuse on the basis of comparison with the kiln wasters and the Plio‐Pleistocene clays.     

主题公园拥挤感知的影响因素研究:以方特欢乐世界为例

近年来随着"黄金周"假期政策的出台以及消费者旅游需求的急剧增长,拥挤成为困扰国内众多景区发展的主要瓶颈之一,而目前关于旅游景区游客拥挤感知的研究却相对薄弱。文章以方特欢乐世界主题公园为例,运用IPA评价分析模型对影响主题公园游客拥挤感知的关键性因素进行了评价和讨论。结果表明,不同的学历与游客的拥挤感知差异性显著,呈负相关,男性的拥挤感知大于女性;时间和密度因素是影响游客拥挤感知的主要因素。最后从游客对园内的拥挤期望出发,提出了改进我国主题公园的管理和提高游客满意度的建议。     

基于腾讯迁徙数据的中国“春运”城市间人口流动空间格局

“腾讯迁徙”大数据基于位置服务，实时、动态、完整、系统地描述了用户日常出行活动的轨迹。通过采集“腾讯迁徙”数据平台中2018年春运期间中国346个地级及以上城市之间的逐日人口流动数据，分“节前、节中、节后”3个时间段，利用复杂网络分析方法，从人口流动的集散层级、集散体系分层集聚特征、人口流动空间格局、网络空间特征等角度分析各时间段城市间的人口流动特征与空间格局。结果表明，腾讯迁徙大数据直观地揭示了春运期间中国城市间人口流动空间格局，3个时段人口的净流入均呈现十字形骨架支撑的菱形分布，人流集散中心主要集中在京津冀、长三角、珠三角和成渝4大城市群，与城市等级有较强的一致性。人口流动集散体系呈明显的分层集聚，城市行政级别的高低与人口流动影响力存在一定的正相关关系，大部分城市人口流动处于“相对平衡”状态。人口流动网络呈现东密西疏的分布特征和东部并联、西部串联的网络关联特征。人口流动网络局部具有较明显的“社区”结构特征，聚为3个大区级、5个跨区域级和1个地区级社区。     

On evolutionary economic geography: a literature review using bibliometric analysis

During the past few decades, there has been growing attention paid towards evolutionary economic geography (EEG) perspectives, methodologies, and concepts in various disciplines such as geography, urban studies, and regional science. In order to better understand the development of EEG studies, this paper employs multiple bibliometric analyses. Specifically, it examines the temporal evolution of keyword co-occurrence network and the reference co-citation network of EEG publications during the last few decades to reveal the temporal evolution and spatial distribution of EEG publications, scholarly communication, research fronts, and intellectual structure of the scientific field.     

An assessment of the technology level and knowledge intensity of regions in Turkey

The paper investigates the patterns of technology and knowledge of the regions. The first aim of the paper is to determine cluster templates at the national level. The second aim of the paper is to investigate the technology and knowledge composition of the regional highpoint clusters. The paper identifies patterns of industrial linkages to define cluster templates and regional highpoints. The second part uncovers regional distributions of technology and knowledge. The data comes from Turkey’s 2012 input–output table. The location quotients use industrial employment statistics from the Turkish Statistical Institute. The technological and knowledge intensity classification follows Eurostat. The findings reveal 10 cluster templates in Turkey. Spatial distribution of the highpoint clusters reveals that most regions contain highpoint clusters with low technology and low knowledge-intensive sectors. The results reveal that highpoint clusters in Turkey’s regions contain industries whose technologies do not demand high skills, knowledge and sophistication. Limited existence of high-tech industries and low knowledge intensity in Turkey’s industry composition is a limiting factor for transition to high value-added manufacturing. Special emphasis should be directed towards constructing regional advantage, given the current levels of technology and knowledge intensity.     

Crowdsourcing Model Research for the Identification of Post-Earthquake Rescue Objects

The quick and accurate identification of post-earthquake rescue objects can minimize the casualties and property loss caused by earthquakes. With the rapid development of remote sensing technology, rescue objects can be identified through high-resolution remote sensing images. There are two main categories of approaches to identify rescue object through high-resolution images: automatic extraction by a computer and visual judgment by professionals. Although results can be obtained quickly by using automatic extraction, the accuracy of the results is unacceptably low. For visual judgment, the large demands for time and professionals restrict its wide practical application. In this study, we introduce crowdsourcing into the identification of post-earthquake rescue objects. First, we integrate the advantages of the computer and crowdsourcing, which means that the computer takes advantage of the speed of information processing, while crowdsourcing makes full use of human recognition capabilities. Second, we take visual judgment tasks out of the hands of professionals and entrust the tasks to workers in a crowdsourcing platform. Not only are the human resources infinite, but we can also improve the efficiency of identifying rescue objects. Third, we propose a crowdsourcing model that improves the quality of the results and saves human resources. Finally, experimental results demonstrate that our solution is feasible.     

The Supply of Glass at Portus Ilicitanus (Alicante,Spain): A Meta‐Analysis of HIMT Glasses

Portus Ilicitanus (Picola, Alicante) was the main sea harbour of the Roman Colonia Iulia Ilici Augusta and as such played a crucial role in the supply of fundamental commodities to the Iberian Peninsula. Excavations yielded large quantities of glass in fourth‐ and early fifth‐century contexts. Elemental analysis of 60 samples by laser ablation – inductively coupled plasma – mass spectrometry (LA–ICP–MS) confirmed that the glasses were imported from the Eastern Mediterranean. A majority of the glasses correspond to the HIMTa primary production group, which originates from Egypt. The statistical evaluation of published data of 589 HIMT glasses further revealed differential distribution patterns of the HIMTa and HIMTb subtypes between the Eastern and Western Mediterranean, suggesting chronological trends that are linked to wider geopolitical changes. This demonstrates the need for systematic large‐scale approaches to identify supply patterns and possible factors underlying geographical differences and/or chronological developments.     

中国城市群空间结构演化的影响因素分析——基于铁路客运的功能联系视角

以中国13个城市群为研究对象,采用铁路客运班次构造多中心指数来表征基于功能联系的城市群空间结构,在分析城市群空间结构演变基础上重点分析其影响因素。研究发现,基于功能联系视角的城市群空间结构总体呈单中心化趋势,但地区差异化明显,珠三角、山东半岛和闽东南城市群已表现出多中心化特征;城市群空间结构的多中心程度随经济发展水平的提高表现为先单中心后多中心的演变过程;城市群规模的增大和城市间联系加强促进了城市群向多中心方向演化;而面积小、三产比重高的城市群更有利于形成单中心的结构;政府干预作用对城市群空间结构影响并不显著。鉴于不同城市群空间结构演化趋势不同,未来政策取向应该遵从各个城市群自身规律。     

新世纪以来中德世界城市全球化模式对比分析

城市全球化逐渐从跨国资本主导下的单一化模式向国家特性作用下的多元化发展转变。本文对比分析了新世纪以来中国和德国世界城市全球化的过程、格局、规模、产业和动力,揭示出国家特性作用下的差异化城市全球化模式。结果表明：①中国城市全球化起步较晚但发展迅速。②中国世界城市呈现“大分散,小集聚”的格局,全球化要素具有分散化趋势。③中国世界城市经济的总量大但平均规模小,企业总部集中分布于北京。④中国世界城市一、二次产业产值比重大,金融地产、社会公共服务业和总部经济发展滞后。⑤中国城市全球化是国家政府主导下依托跨国投资生产并出口初级工业品的被动全球化,未来须发挥高级生产者服务、研发服务和社会服务的动力作用。