用图像质量评价量实现的真实图像和计算机生成图像的鉴别方法

真实图像和计算机生成图像的鉴别是数字图像盲取证中的一个重要问题。提出了一种真实图像和计算机生成图像的鉴别方法。借用模式识别中的二分类概念,采用图像质量评价量来建立模型,以捕获真实图像和计算机生成图像的统计差异,选用支持向量机作为分类器进行训练和测试。实验结果表明,该方法计算方便、实用性强、可靠性高。     

Coastal geomorphic chronosequences across broad spatiotemporal scales. Metrical observations from the Cape Verde hotspot

The study of the coastal landscapes of hotspot oceanic islands through comprehensive structural metrics and ecological estimators represents an opportunity to explore geomorphological transformations and broad spatiotemporal scale features of coastal evolution. As part of this approach, a new metrical comparative analysis is presented in this study, comprising four islands in different evolutionary stages. They belong to the Cape Verde archipelago, which forms a double insular chain in which an east–west gradient in age and evolution is particularly evident across the southern chain. A space-for-time (SFT) substitution approach is applied to the coasts of (1) Fogo, in the shield stage; (2) Santiago, in the early post-erosional stage; (3) São Vicente, in the advanced post-erosional stage; and (4) Boa Vista, in the last erosional stage. From the obtained spatial distributions and frequencies of landforms, the coastal landscapes of these islands are compared in relation to their (i) geomorphic composition, using similarity indices (Whittaker, β_w, Sorensen, C_s) and nestedness estimators (NOFD, WNODF), (ii) geomorphic abundance, using morpho-assembling densities (D_gm), and (iii) geomorphic diversity, using six alpha-diversity indices (Richness, S, Menhinick, D_MN, Simpson, D, Shannon, H', Berger-Parker, d, and Brillouin, HB). An advanced geomorphological taxonomy is implemented for areas with limited open-access data, including a set of planform features captured through scale-frequency decomposition. Photographic, cartographic and fieldwork data are used for landform identification at 1200 random sampling points, empirically determined by a bootstrap method. The results show a chronological ordering of the compared variables and a possible co-evolution towards an increase in organizational geomorphic complexity of coastal systems at broad space-timescales. The method proposed in this study can contribute, from a metrical perspective, to finding new long-term evolutionary features and constitutes an advance in the development of an integrated model of coastal evolution in oceanic islands. © 2019 John Wiley & Sons, Ltd.     

长江中游城市群社团结构演化及其邻近机制 ——基于生产性服务企业网络分析

刻画长江中游城市群空间结构演化特征,通过QAP分析定量揭示其影响机制。结果显示：长江中游城市群存在3个分别以武汉、长沙和南昌为核心、以省界为界限的城市社团,社团结构存在显著的异质性特征。城市群层面上,地理邻近、文化邻近和行政邻近均对城市群社团结构产生显著影响,行政邻近中的省级行政邻近影响最大;交流技术进步、金融资源集聚与扩散对社团内外联系也产生显著影响。分析社团层面,发现此时地理邻近在各社团内部结网互动中起决定性作用,且不同影响因素在3个社团中的影响效应存在一定的差异性。     

企业创新网络与多维邻近性关系研究述评

创新是引领经济发展的第一动力,企业创新网络相关研究近来受到经济地理学者的高度关注,纵观当前国内外企业创新网络相关研究文献,企业创新网络研究经历了从定性研究向定量研究转变的过程,尤其是基于专利或论文数据刻画创新网络结构特征成为当前研究的热点,然而企业创新网络结构形成的内在机制仍不够深入,不少学者引入多维邻近性框架用于解析企业创新网络形成的重要视角。本文正是基于这一背景,从企业创新网络的影响因素、演化动力及机理、典型案例企业创新网络三个方面梳理了当前经济地理学者的研究热点,并重点基于多维邻近性视角评述了企业创新网络运行机理。研究发现,众多邻近性中,地理、认知和组织邻近对企业创新合作具有较为重要的促进作用,在未来研究中还需加强最佳邻近尺度、不同邻近性替代或互补作用和重要性排序等问题的相关研究。     

Estimating residual biomass of olive tree crops using terrestrial laser scanning

Agricultural residues have gained increasing interest as a source of renewable energy. The development of methods and techniques that allow to inventory residual biomass needs to be explored further. In this study, the residual biomass of olive trees was estimated based on parameters derived from using a Terrestrial Laser Scanning System (TLS). To this end, 32 olive trees in 2 orchards in the municipality of Viver, Central Eastern Spain, were selected and measured using a TLS system. The residual biomass of these trees was pruned and weighed. Several algorithms were applied to the TLS data to compute the main parameters of the trees: total height, crown height, crown diameter and crown volume. Regarding the last parameter, 4 methods were tested: the global convex hull volume, the convex hull by slice volume, the section volume, and the volume measured by voxels. In addition, several statistics were computed from the crown points for each tree. Regression models were calculated to predict residual biomass using 3 sets of potential explicative variables: firstly, the height statistics retrieved from 3D cloud data for each crown tree, secondly, the parameters of the trees derived from TLS data and finally, the combination of both sets of variables. Strong relationships between residual biomass and TLS parameters (crown volume parameters) were found (R² = 0.86, RMSE = 2.78 kg). The pruning biomass prediction fraction was improved by 6%, in terms of R², when the variance of the crown-point elevations was selected (R² = 0.92, RMSE = 2.01 kg). The study offers some important insights into the quantification of residual biomass, which is essential information for the production of biofuel.     

Spatial Discontinuities in Support for Hydraulic Fracturing: Searching for a “Goldilocks Zone”

Recent research suggests that those located closer to energy development are, on average, more supportive of this development. However, case studies in specific locations reveal additional nuance. In a case study of Bakken Shale residents, Junod et al. identified a “Goldilocks Zone” of unconventional oil and gas development (UOGD) acceptance—an area on the periphery of development that is “just right” because residents feel close enough to receive economic benefits but far enough away to avoid negative impacts. We explore whether this Goldilocks Zone extends nationally by combining geocoded public opinion data (N?=?23,154) with UOGD locations. Using multilevel regression modeling, we find that respondents located within 115?km of newly active UOGD are more supportive of hydraulic fracturing while those located within 115–305?km are comparatively less supportive. While we do not uncover a national-level Goldilocks Zone, our work highlights innovative approaches for examining spatial relationships in energy development opinion.     

Metrics for characterizing network structure and node importance in Spatial Social Networks

Social Network Analysis offers powerful tools to analyze the structure of relationships between a set of people. However, the addition of spatial information poses new challenges, as nodes are embedded simultaneously in network space and Euclidean space. While nearby nodes may not form social ties, ties may exist at a distance, a configuration ill-suited for traditional spatial metrics that assume adjacent objects are related. As such, there are relatively few metrics to describe these nuanced situations. We advance the burgeoning field of spatial social network analysis by introducing a set of new metrics. Specifically, we introduce the spatial social network schema, tuning parameter and the flattening ratio, each of which leverages the notion of ‘distance’ to augment insights obtained by relying on topology alone. These methods are used to answer the questions: What is the social and spatial structure of the network? Who are the key individuals at different spatial scales? We use two synthetic networks with properties mimicking the ones reported in the literature as validation datasets and a case study of employer–employee network. The methods characterize the employer–employee as spatially loose with predominantly local connections and identify key individuals responsible for keeping the network connected at different spatial scales.     

邻近性对人口再流动目的地选择的影响

中国人口流动进入总量稳定下的空间调整新阶段,存量流动人口的再流动成为塑造人口和城镇化格局的主体因素。本文从户籍地和前期流入地两个基点出发,综合考虑地理、制度、信息、社会、认知等维度,构建了双重多维邻近性影响人口再流动目的地选择的理论框架,利用全国流动人口动态监测调查数据和嵌套Logit模型开展实证研究。结果表明：双重多维邻近性对人口再流动的空间选择具有显著而稳健的影响。人口再流动时,会选择与自身知识水平更匹配、与户籍地和前期流入地都更近、信息联系都更强的城市,但社会联系仍主要依靠老家。流动人口具有回到户籍所在省（区、市）的主观意愿,但省内城市普遍机会不多、环境欠佳,缺乏吸引力。相对而言,女性对同乡网络的依赖高于男性;新生代流动人口在很多方面继承了老一代的特点,甚至比后者更依赖老家的信息和社会联系;高学历流动人口在流入地的深度社会融入使其能够利用本地化社会资本,再流动的空间选择也与流入地居民更为类似。     

Nocturnal fish utilization of a subtropical mangrove‐seagrass ecotone

Whereas diel fish migration between mangrove and seagrass habitats has been recognized for decades, quantitative studies have focused mainly on diurnal patterns of fish distribution and abundance. In general, previous studies have shown that fish abundances decline with increasing distance from mangroves; however, evidence for such a pattern at night, when many fishes are actively feeding, is scarce. The present study is the first to report nocturnal fish abundances along a continuous distance gradient from mangroves across adjacent seagrass habitat (0–120 m). Here, we used nocturnal seine sampling to test the null hypothesis (based on diurnal studies and limited nocturnal work) that fish abundance would decrease with increasing distance from shoreline. We focused on species and life‐stage‐specific abundance patterns of Lutjanus griseus, Sphyraena barracuda, Archosargus rhomboidalis, and Haemulon sciurus. Results indicated that assemblage composition and structure differed significantly by season, likely influenced by temperature. However, within each season, the fish habitat use pattern at both the assemblage and species‐specific level generally failed to support our working null hypothesis. Species‐specific analyses revealed that, for most species and life‐stages examined, nocturnal abundance either did not change with distance or increased with distance from the mangrove‐seagrass ecotone. Our results suggest that analyses where taxa are grouped to report overall patterns may have the potential to overlook significant species‐ and stage‐specific variation. For fishes known to make nocturnal migrations, we recommend nocturnal sampling to determine habitat utilization patterns, especially when inferring nursery value of multiple habitats or when estimating fish production.