基于生态文明理念下化解城乡生态环境二元化的路径选择

改革开放30多年以来,我国城乡经济发生了翻天覆地的变化,城乡居民经济水平和生活质量都得到了普遍提升。但随着城市化、工业化进程加快,城乡经济也随之拉开差距,在城乡经济结构二元化的影响下,城乡生态环境也出现了严重的二元化趋势。介于此,本文以"天人合一、人地和谐"的生态文明理念为指导思想,在挖掘生态文明与生态环境保护两者内在关系的基础上,结合实际以分析我国城乡生态环境严重二元化的现况为出发点,剖析导致城市与乡村生态环境二元化的三大矛盾,并提出六大破解城乡生态环境二元结构可行之路,为共同构建美好生态环境提供良策。     

基于MBP算法和深度学习的人脸识别

为了解决在深度学习提取人脸图像特征时,易忽略其局部结构特征和缺乏对其旋转不变性学习的问题,提出了一种基于单演局部二值模式(MBP)与深度学习相结合的高效率人脸识别方法。首先,用多尺度单演滤波器对图像进行滤波,得到幅值和方向信息;其次,用LBP算法和象限比特的方法进行编码,分块计算组合其直方图特征;然后,将提取的单演特征作为深度信念网络(DBN)的输入,逐层训练优化网络参数,得到优异的网络模型;最后,将训练好的DBN网络在ORL人脸数据库上进行人脸识别实验,进行识别率计算,其识别率为98.75%。所提出的方法使用无监督的贪婪算法,隐藏层设定为2层,使用反向传播算法优化网络。相较于已知的人脸识别方法,MBP+DBN算法对光照、表情和部分遮挡变化具有较好的鲁棒性,在人脸识别中识别率较高,具有一定的优势,为图像特征提供了一种新的识别方法。     

Forecasting dynamic return distributions based on ordered binary choice

We present a simple approach to the forecasting of conditional probability distributions of asset returns. We work with a parsimonious specification of ordered binary choice regressions that imposes a connection on sign predictability across different quantiles. The model forecasts the future conditional probability distributions of returns quite precisely when using a past indicator and a past volatility proxy as predictors. The direct benefits of the model are revealed in an empirical application to the 29 most liquid U.S. stocks. The forecast probability distribution is translated to significant economic gains in a simple trading strategy. Our approach can also be useful in many other applications in which conditional distribution forecasts are desired.     

英语读写素质研究中的二元理论分析

英语读写素质是习得读写能力并形成读写体验的过程。读写素质主要由分析能力、结合社会文化能力、话语分类能力、读写实践能力、记忆能力、情感反应、思辨能力和隐喻理解能力等因素构成。本文首先应用二元理论中的集对分析理论分析了句子、语法和词语,英语句子具有同异性,英语语法中时态的相关性均有特定的语法表征手段,英语词语是一种约定俗成的语言单位常常附衍了一串同义词、近义词和反义词。如果用联系数来描述词语的相关度,它同时也反映出了词语的思想丰度。本文还运用博弈理论和悖论分析文章的含义及价值,最后应用模糊二元对比排序法对英语读写素质各因素进行分析,通过分析确定了各因素的重要度,将其应用于读写素质研究中具有积极作用并具一定的发展潜力。     

Exploring the relationship between multilevel highway networks and local development patterns—a case study of Taiwan

The relationship between local development patterns and highway networks is complicated, as suggested by studies using various analytical methods. The spatial effects of each hierarchical highway network on local development patterns remains unclear. This study combines space syntax and the hierarchical linear model (HLM) within the research framework in a case study of Taiwan. The former is employed to model the topological accessibility of multilevel highway networks, and the latter is applied to handle the hierarchical relationship between multilevel highway networks and local development patterns. Results indicate a high R-squared (R² = 0.803) value, and statistically significant cross-level interactions are observed. The results show the different spatial effects of various highway networks on the scale of local development patterns, and confirm consideration of highway networks with classification in the research design. The implications of the findings may be appropriate for substantive planning and future research approaches.     

基于不同Logistic模型的土地利用格局模拟对比研究——以湖北省宣恩县和咸丰县为例

模拟土地利用空间格局分布规律对合理利用土地资源、制定土地利用规划、协调土地与经济、环境的关系具有十分重要的意义。土地利用格局存在空间异质性,对比不同地区格局特征规律对加深土地利用格局的认识具有重要意义。以邻接的湖北省宣恩县和咸丰县为研究对象,通过对比基于局地因子、自相关因子和邻域因子的3种Logistic模型的模拟参数的一致性和异质性来对比研究两地的格局分布规律。实验与分析结果表明,宣恩县和咸丰县的土地利用格局特征存在共同的驱动因子和聚集效应,具有共性;不同模型的模拟结果表明驱动因子在作用方向,大小方面存在差异,邻域因子在邻域尺度上表现出不同特征。研究结果对加深理解不同地区的土地利用分布格局特征的差异性,促进区域土地利用的规划、土地资源的合理开发与可持续发展战略的顺利实施具有一定的参考价值。     

农户收入分化对林地流入与流出意愿影响研究

以辽宁省409户样本农户问卷调查为基础,采用描述性统计分析农户收入分化在农户年龄层次、受教育程度、家庭劳动力数量等方面的差异化特征,并运用二元Logistic回归模型分别讨论收入水平分化、收入结构分化、二者交互项对农户林地流转综合意愿、流入意愿、流出意愿的差异化影响。结果表明:农户收入水平分化对林地综合流转意愿、林地流入意愿具有显著正向影响;农户收入结构分化对农户林地流出意愿具有显著正向影响;农户收入水平分化与结构分化交互项对农户林地综合流转意愿、林地流出意愿具有显著正向影响。因此,需要关注农户收入分化因素;做好收入分化因素的有效识别;充分认识收入分化因素对农户林地流入与流出意愿的差异影响;把握分化特征,有针对性提高林地流转意愿。     

Compliance of land cover changes with municipal land use planning: Evidence from the Lisbon metropolitan region (1990–2007)

In the past few decades, urbanisation has become a major phenomenon in European cities, thus representing one of the key human land cover changes with socio-economic and environmental impacts. In the Lisbon metropolitan region it is estimated that 17% of natural and farmland have been transformed into artificial areas. Since the end of 1990s, specific EU guidelines have been issued to contain urban sprawl and preserve agricultural land. Spatial planning in Portugal obviously is integrating these assumptions into the statutory land-use master plans. But what is the performance of this land use planning system regarding land cover evolution itself? Based on the Lisbon metropolitan region (LMR), one of the major areas of urban growth in Portugal, we examine spatio-temporal land cover patterns between 1990 and 2007 by integrating cross-matrix analysis, spatial metrics, and gradient analysis. Additionally, we overlay these land cover dynamics with municipal master plans that regulate land development in order to assess the compliance levels of this land-use regulatory system. Results indicate that: artificial areas are growing by coalescence and/or by scattered development along an urban–rural gradient; agricultural land is reducing and fragmentation is increasing to enlarge peri-urban spaces; there are high levels of conversion of agricultural land into urban land in protected areas, thus showing a lack of compliance to the land use regulatory system visible in the existing gaps between the original land-use assignments of the master plan and the actual developments.     

Anthropogenic and topographic correlates of natural vegetation cover within agricultural landscape mosaics in Turkey

Natural vegetation enhances the value of agricultural landscapes for people and wildlife. However, the role of anthropogenic versus topographic factors in driving the extent of natural vegetation cover within agricultural lands at large spatial scales remains unexplored. I assessed the influence of anthropogenic and topographic variables on the extent of agricultural mosaics with high natural vegetation cover in the country of Turkey where a large extent of natural and semi-natural vegetation is maintained by traditional agriculture. GIS layers depicting human land use, elevation, slope, roads and population data were obtained and summarized at two spatial scales, within provinces and for 100 km² grid cells covering the country’s entire agricultural land area. Average farm size was also obtained at province level. Hierarchical Partitioning was conducted to determine the independent effect of anthropogenic and topographic variables on the variation in agriculture with high natural vegetation. Slope had the largest independent effect on the variation in the proportion of agricultural mosaic with high natural vegetation cover. The extent of agricultural and settlement area also explained much of the variation in natural vegetation across both grid cells and provinces. The proportion of natural vegetation increased as human population and road density decreased across grid cells and as average farm size decreased across provinces. These results suggest that while topography is the primary driver of natural vegetation cover within agricultural mosaics in Turkey, the pressures associated with urban development and agricultural industrialization may also influence the cultural and wildlife value of agricultural landscapes.