珠三角地区耕地多功能空间差异与影响因素分析   总被引：6，自引：0，他引：6  

陈星宇  王枫  李灿 《地域研究与开发》2017,36(1)

在借鉴文献的基础上,结合珠三角地区实际情况,构建耕地多功能评价指标体系,运用加权求和评分法计算得出耕地各类功能指数。结果表明:2005—2013年珠三角各城市耕地总功能整体表现稳定,空间差异表现为中心城市的功能等级较低,外围城市的功能等级较高,耕地资源禀赋和经济发展水平是影响耕地总功能的最主要因素;耕地的各项子功能整体表现较为稳定,体现出较为明显的空间差异;耕地资源禀赋、经济发展水平、人口及城市化水平、要素投入水平和政策因素等是影响各项子功能的主要因素。  相似文献   

山东省20世纪90年代产业结构变动研究     

刘兆德  王慧 《地理与地理信息科学》2001,17(1):25-30

分析山东 90年代产业结构变动趋向的时空差异 ,探讨产业结构变动的原因及地区产业结构变动能力 ,并对山东产业结构走向及产业结构在地区间的协调发展提出建议。  相似文献   

Experiments with Higdon's absorbing boundary conditions for a number of wave equations     

W. A. Mulder 《Computational Geosciences》1997,1(1):85-108

Simulation of wave propagation for seismic purposes is usually restricted to a small portion of the earth. Artificial boundary conditions are required where the subsurface model is truncated. Absorbing boundaries should ensure that waves hitting the artificial boundaries are not reflected. The vast amount of literature on the subject suggests that “good” conditions have not been found, and only “reasonable” solutions exist. A cursory overview of existing and a few new ideas is presented that may guide the construction of suitable boundary conditions. Because the intended application of the boundary conditions was a high-order finite-difference code that runs on a parallel computer, we have restricted our attention to local boundary conditions. A fundamental problem in the design of accurate local boundary conditions is pointed out: accuracy is required to keep the amount of reflected energy small, but at the same time allows for growing low-frequency modes. We have settled for Higdon’s boundary conditions. Higdon proposes to include some damping to suppress the growing low-frequency modes. We show that third-order conditions provide acceptable results for the simple scalar wave equation and the acoustic equation. In the elastic case, an additional low-frequency growing mode may occur. This mode can be suppressed by using a dissipative boundary scheme and by increasing the amount of damping. The increase in damping results in an increase in the amount of reflected energy, which is larger than in the scalar case. Numerical experiments exhibit a reasonable performance, although some improvement would be useful, particularly in the anisotropic elastic case. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

塔中隆起古生代构造演化的分段差异性分析     

李萌  逄思宇  郭健 《化工矿产地质》2016,(4):215-220

应用平衡剖面技术探讨了塔中隆起东、西段古生代构造演化的时空差异性。结果表明,早奥陶世塔中西段在伸展背景下拉张沉降,而塔中东段已出现隆起雏形。中奥陶世-晚奥陶世,塔中隆起构造形态基本定型,东段构造变形和隆升强度高于西段。该区东强西弱的分段差异性持续到中泥盆世末期。推测与来自阿尔金方向的压扭应力自东向西逐渐递减有关,同时形成了塔中隆起东敛西散的构造形态。  相似文献   

The use of predictive analysis in spatiotemporal crime forecasting: Building and testing a model in an urban context     

《Applied geography (Sevenoaks, England)》2017

Police databases hold a large amount of crime data that could be used to inform us about current and future crime trends and patterns. Predictive analysis aims to optimize the use of these data to anticipate criminal events. It utilizes specific statistical methods to predict the likelihood of new crime events at small spatiotemporal units of analysis. The aim of this study is to investigate the potential of applying predictive analysis in an urban context. To this end, the available crime data for three types of crime (home burglary, street robbery, and battery) are spatially aggregated to grids of 200 by 200 m and retrospectively analyzed. An ensemble model is applied, synthesizing the results of a logistic regression and neural network model, resulting in bi-weekly predictions for 2014, based on crime data from the previous three years. Temporally disaggregated (day versus night predictions) monthly predictions are also made. The quality of the predictions is evaluated based on the following criteria: direct hit rate (proportion of incidents correctly predicted), precision (proportion of correct predictions versus the total number of predictions), and prediction index (ratio of direct hit rate versus proportion of total area predicted as high risk). Results indicate that it is possible to attain functional predictions by applying predictive analysis to grid-level crime data. The monthly predictions with a distinction between day and night produce better results overall than the bi-weekly predictions, indicating that the temporal resolution can have an important impact on the prediction performance.  相似文献   

历元间差分精密单点定位的精度分析     

范士杰  牟春霖  刘焱雄  陈冠旭  秦学彬 《测绘科学》2016,41(1):122-126

针对历元间差分精密单点定位技术用于地表形变监测的可行性问题,该文利用IGS跟踪站数据,对此方法的精度进行分析:借助自编程序,对IGS跟踪站不同采样率数据进行动态模拟的数据处理和误差统计,对历元间差分精密单点定位技术的精度进行比较和初步分析,验证GPS数据采样率对该技术定位精度的影响。实验结果表明,此方法能够满足地震等地质灾害引起的同震地表形变监测的精度要求。  相似文献   

Food habits of Dipturus chilensis (Pisces: Rajidae) off Patagonia, Argentina   总被引：1，自引：0，他引：1  

Alonso  M. Koen; Crespo  E. A.; Garcia  N. A.; Pedraza  S. N.; Mariotti  P. A.; Vera  B. Beron; Mora  N. J. 《ICES Journal of Marine Science》2001,58(1):288-297

  相似文献   

海洋温差能时空分布变异特征定量评价方法研究     

吴国伟  武贺  丁杰  张松  白杨  姜波  张榕 《海洋通报》2018,(5):548-553

海洋温差能资源时空分布特征分析和总量估算是其开发利用及选址、设计的基础工作。本文通过研究海洋温度场的变化特征,结合信息熵理论,应用高斯分布函数,建立了一种新的海洋温差能资源评估算法,即海洋温差熵(ocean temperature differences entropy, OTDE)算法,提出了表征温差时空变异特征的海洋温差熵作为评估参数,并结合中国南海海域开展了温差在不同时间尺度和空间范围上不确定性变化的定量研究。结果表明:中国南海榆亚暗沙、黄岩岛附近海域的海洋温差时空分布较稳定、资源可预测性强,是海洋温差能开发建址的理想区域,可为今后南海温差能资源评估及电站选址提供技术参考。  相似文献   

中国现代产业体系四位协同的地区差异及动态演进   总被引：1，自引：1，他引：0  

邵汉华  刘克冲  齐荣 《地理科学》2019,39(7):1139-1146

构建实体经济-科技创新-现代金融-人力资源等四位协同指标体系,基于2001~2015年省级面板数据,对中国现代产业体系四位协同度进行系统测度。分析四位协同度的地区差距,对其动态演进过程进行科学预测。研究发现：① 中国现代产业体系四位协同度呈波动性上升态势,其中东部地区四位协同度最高、中部次之、西部最低。② 现代产业体系四位协同度区域相对差距与绝对差距均呈扩大趋势,东部地区内差异与东-西部地区间差异均最大,其中超变密度差距是区域间差距主要来源。③ 现代产业体系四位协同度演进方式表现为邻近演进,低水平阶段向更高水平阶段跃升概率增大,整体向更高阶段发展。  相似文献   

A lightweight ensemble spatiotemporal interpolation model for geospatial data     

Shifen Cheng  Peng Peng 《International journal of geographical information science》2020,34(9):1849-1872

ABSTRACT

Missing data is a common problem in the analysis of geospatial information. Existing methods introduce spatiotemporal dependencies to reduce imputing errors yet ignore ease of use in practice. Classical interpolation models are easy to build and apply; however, their imputation accuracy is limited due to their inability to capture spatiotemporal characteristics of geospatial data. Consequently, a lightweight ensemble model was constructed by modelling the spatiotemporal dependencies in a classical interpolation model. Temporally, the average correlation coefficients were introduced into a simple exponential smoothing model to automatically select the time window which ensured that the sample data had the strongest correlation to missing data. Spatially, the Gaussian equivalent and correlation distances were introduced in an inverse distance-weighting model, to assign weights to each spatial neighbor and sufficiently reflect changes in the spatiotemporal pattern. Finally, estimations of the missing values from temporal and spatial were aggregated into the final results with an extreme learning machine. Compared to existing models, the proposed model achieves higher imputation accuracy by lowering the mean absolute error by 10.93 to 52.48% in the road network dataset and by 23.35 to 72.18% in the air quality station dataset and exhibits robust performance in spatiotemporal mutations.  相似文献