Head/Tail Breaks: A New Classification Scheme for Data with a Heavy-Tailed Distribution

This article introduces a new classification scheme—head/tail breaks—to find groupings or hierarchy for data with a heavy-tailed distribution. The heavy-tailed distributions are heavily right skewed, with a minority of large values in the head and a majority of small values in the tail, commonly characterized by a power law, a lognormal, or an exponential function. For example, a country's population is often distributed in such a heavy-tailed manner, with a minority of people (e.g., 20 percent) in the countryside and the vast majority (e.g., 80 percent) in urban areas. This new classification scheme partitions all of the data values around the mean into two parts and continues the process iteratively for the values (above the mean) in the head until the head part values are no longer heavy-tailed distributed. Thus, the number of classes and the class intervals are both naturally determined. I therefore claim that the new classification scheme is more natural than the natural breaks in finding the groupings or hierarchy for data with a heavy-tailed distribution. I demonstrate the advantages of the head/tail breaks method over Jenks's natural breaks in capturing the underlying hierarchy of the data.     

Nonradial eruption of a kinking filament observed from STEREO

On 5 April 2008, a filament at the periphery of an active region was observed by the Extreme Ultraviolet Imager telescope aboard the STEREO-A spacecraft, which showed up as a prominence eruption in the field-of-view from STEREO-B. The filament at STEREO-A 304 Å was first lengthened toward a region with weak overlying magnetic field so evolved as a large-scale one consisting of bright and dark threads twisting with each other, and then the portion below the weak field underwent an eruption. Meanwhile, the corresponding STEREO-B 304 Å prominence threads exhibited a kinking structure and tilting motion, with its center deflecting from the radial direction. By using three-dimension (3D) reconstruction technology, we obtain the 3D topology for the kinked prominence when its apex arrived at 1.4 radii, from which a clockwise rotation of about 90° is found in the course of the eruption. By comparing the 3D structure with the magnetic-field configuration computed by using the Potential-Field Source-Surface (PFSS) model, it is suggested that the filament erupted against the rather weaker than stronger overlying magnetic field, which make it appear to tilt toward one side.     

中国煤炭资源供应格局演变及流动路径分析

利用1949—2008年的相关统计数据,分析中国煤炭资源供应格局和流动路径,结果表明:(1)国家政策变动对中国煤炭资源消费规模影响深刻,每一次政策变化都会造成能源消费规模的波动,近年来强烈的能源需求使得我国煤炭供应不得不面临进口的现实;(2)受能源需求和资源禀赋的双重压力,大规模、跨区域、长距离的煤炭运输成为我国能源运输体系的重要特征;(3)尽管煤炭运输方式在向铁路、水路和公路组合并用的多元化发展,但仍然不能满足旺盛的能源需求,煤炭运输瓶颈始终存在,变输煤为输电是缓解当前煤炭运输困难的一个途径。     

铁路缓和曲线的等间隔放样方法

介绍了铁路缓和曲线设置的目的、作用、基本原则和重要意义，阐述了等间隔放样缓和曲线的基本原理，给出了等间隔放样缓和曲线放样要素采集的基本方法，叙述了缓和曲线等间隔放样的工作过程。     

地图扫描数字化的质量分析与评价

通过分析地图扫描数字化的误差因素．运用质量控制图评价学生实验数据质量，能够直观地对学生实验数据做出判断，同时也能比较各个实验小组及班级之间总体实验水平，及时发现实验准备工作中及实验方法本身的有关问题。     

航海图四面体模型和未来发展

在信息与通信技术(information and communications technology,ICT)时代,电子航海图(electronic navigational chart,ENC)的迅猛发展使得纸质海图的未来引起航海界的广泛讨论.借鉴地图四面体模型,从4个层面探讨了航海图领域实地、纸质海图、电子海图和用...     

结合微博数据挖掘的时空特征分析

在大数据背景下处理海量数据时,数据的获取和分析手段至关重要。本文运用网络平台的开放接口API,对特定的地理区域和特定的用户采集包含时空信息的数据,建立了一个通过模拟登录自动发送网络请求,解析与提取返回数据,集数据采集、处理、入库于一体的微博数据采集系统;用微博数据的发布位置分布及集聚状态研究了用户的行为特征。试验表明,该方法可为事件发现、趋势预测、用户特征分析等方面提供信息。     

利用RTK测量建筑物墙角点方法的研究

在地形测量、地籍测量、工程测量中,RTK已经被广泛使用,但是测量建筑物(构筑物)墙角点时却非常困难。利用自制RTK辅助装置来测量建筑物(构筑物)墙角点,通过实验进行精度分析,并结合吉林省扶余市地籍调查项目进行应用检验,文中方法达到了地籍测量的精度要求,具有一定应用价值。     

重庆市城镇地房籍系统建设与应用

通过建设重庆市城镇地房籍系统,重庆市国土房管局实现了对全市38个区县土地房屋权属登记和房地产交易的集中统一管理,达成了全市范围内＂以图管地、以图管房、地房合一＂的管理目标,为下一步开展不动产统一登记提供了较好的实践经验。本文主要从地房籍数据清理和整合、系统体系架构、主要功能和系统特点等方面进行详细介绍。     

测绘用离轴三反光学系统技术

离轴三反光学系统可以同时兼顾长焦距与大视场, 可以优化为零畸变、低场曲的光学系统, 很好地满足了测绘对光学系统的要求, 被公认为航天遥感测绘相机的发展方向。本文阐述了航天测绘相机的现状和发展趋势, 对离轴三反光学系统应用于测绘的相机内方位元素定义、焦距计算公式的修正、调焦方式对主点位置精度的影响、系统畸变标定以及系统稳定性等问题进行讨论为中国自主获取高分辨率、高精度的测绘数据提供了技术参考。