Modelling and predicting the spatial dispersion of skin cancer considering environmental and socio-economic factors using a digital earth approach

ABSTRACT

Almost all causative factors of diseases depend on location. The Digital Earth approach is suitable for studying diseases globally. Geospatial information systems integrated with statistical models can be used to model the relationship between a disease and its causative factors. Through modelling, the most important causative factors can be extracted and the epidemiology of the disease can be observed. In this paper, skin cancer (the most common type of cancer) has been modelled based on its causative factors, including climate factors, people's occupations, nutrition habits, socio-economic factors, and usage of chemical fertiliser. To fit the model, a data framework was first designed, and then data were gathered and processed. Finally, the disease was modelled using Generalised Linear Models (GLM), a statistical model based on the location of the factors. The results of this study identify the most important causative factors together with their relative priority. Furthermore, a model was used to predict the change in skin cancer occurrences caused by a change in one of its causative factors. This work illustrates the ability of the model to predict disease occurrence. Thus, by using this Digital Earth approach, skincancer can be studied in all the key countries around the world.     

Big Earth data: disruptive changes in Earth observation data management and analysis?

ABSTRACT

Turning Earth observation (EO) data consistently and systematically into valuable global information layers is an ongoing challenge for the EO community. Recently, the term ‘big Earth data’ emerged to describe massive EO datasets that confronts analysts and their traditional workflows with a range of challenges. We argue that the altered circumstances must be actively intercepted by an evolution of EO to revolutionise their application in various domains. The disruptive element is that analysts and end-users increasingly rely on Web-based workflows. In this contribution we study selected systems and portals, put them in the context of challenges and opportunities and highlight selected shortcomings and possible future developments that we consider relevant for the imminent uptake of big Earth data.     

复杂地形景区三维导览图的设计与实现

为满足复杂地形景区对三维地图导览的需求,构建更为清晰的三维地图模型,提供良好的三维导览地图设计方案显得尤为重要。为了更好地与卫星影像进行贴合,DEM数据的采样密度要与卫星影像的分辨率一致。本文通过对比当下常用的四种空间插值方法的适用范围与运用特点,设置相关阈值及权重,直观比较了四种插值方法产生的插值结果,选择更适合复杂景区DEM插值的插值方法并对其进行精度提升,以此得到符合精度要求的DEM数据。最后利用相应地区的卫星影像进行地图投影及影像贴图,两种数据结合构建复杂景区的三维地图模型,给游客带来更为精确直观的定位信息和空间要素信息。     

增强型道格拉斯—普克压缩算法的设计与实现

本文首先论述了经典的道格拉斯—普克压缩算法，分析将其应用于多边形边界数据压缩所造成的图形失真现象，提出了一种增强型道格拉斯—普克压缩算法，并用实际的MapInfo矢量数据来检核该算法的可靠性。     

视点相关实时LoD地形模型动态构网算法

论述了一种视点相关实时LoD地形模型动态构网算法。基于GRID数据，以直角三角形为基本单元，利用二叉树构建地形的层次结构，兼具GRID与不规则三角网（TIN）的优点；并且解决了模型带来的“裂缝”问题。视景体可见区域多分辨率地形生成时，通过地形面片自身复杂程度、地形面片与视点距离以及地形面片与视线间的方向关系三方面确定该面片的绘制分辨率。实验结果表明，该算法在保持地形场景逼真的情况下，极大地提高了绘制速度，满足了实时交互的要求。     

福建省域工业空间结构研究——以福建省销售额前300家工业企业为例

依据地域经济系统理论,一个地域经济单元状态,可以从时序特征和空间结构特征进行表达,其存在状态受制于时空关联性。一定地域在特定时序发展阶段,必有与之相对应的空间结构特征;反之,一定的空间结构特征必然反映其特定的时序阶段。据此,诊断了福建省域工业系统的时空关联性特征,并提出了该省工业阶段性跃迁的对策与建议。     

浅析山西长治数字测震台网维护工作

文章概述了山西长治数字测震台网的系统构成,并对台网的维护工作从维修次数、故障类型等方面进行分析,认为,要保证观测质量必须做好五方面的维护工作。     

GDS—1000宽频带通用流动数字地震观测系统

GDS-1000宽频带通用流动数字地震观测系统主要用于大陆岩石层的人工及天然地震台阵研究、强震观测以及余震观测台网的临时布设。其主要技术指标为:动态范围120dB,前放增益1,16,128倍可调,高端频率6.25,25,45Hz可调,采样率25,100,200Hz可调,1MB固态数据存储器借助地震数据的压缩软件可以存储3MB以上的数据,工作温度范围-10—45℃,功耗小于3W。定时接受的BPM无线电授时信号可保证记录系统时钟校正误差小于10ms。其智能化地震触发系统可处于下列模态:近震触发,远震触发,近震和远震触发,任意地面运动信号触发,以及手动触发和定时触发。DSR-1000数字地震数据回收系统用于GDS-1000的参数预置、地震事件数据的转储和地震图的现场绘制。该系统在野外试验期间已取得大量近震、远震及核爆炸记录。     

三峡库区经济发展评价

当前三峡库区经济发展存在主要产业经济效益低，国有产业亏损大，产业规模小，城镇经济中心作用弱等突出问题．库区开发必需是持久战和持续发展相结合，将库区基础设施建设放在重要地位，搞好资金、行业、所有制之间的优化组合，大力发展第三产业；要准备用几十年的艰苦奋斗，才能赶上全国平均水平．     

市场经济导向下肇庆地区土地资源合理开发利用

市场经济的基本模式，是以效率为特色，兼顾市场，政府和社会作用“三位一体”的模式，本文从这一角度出发，分析了肇庆地区在市场经济导向下，尤其在珠江三角洲市场的作用下区域土地资源的开发利用优势，在此基础上探讨了区域土地资源的开发利用原则，方向与途径，并提出相应的实施措施。