基于手机信令大数据的机场腹地识别算法研究

机场腹地是完善和管控机场地表集疏运网络的基础依据,传统的机场腹地测算方法在时效性、准确性、解析性等方面已无法满足经济全球化时代事件管控和精准服务的需求。该文基于手机信令大数据构建新的机场腹地识别算法,并利用中国联通河北分公司提供的石家庄机场2019年10月2-8日的手机信令数据,识别石家庄机场腹地范围,通过测算不同尺度行政单元的进/出港旅客出行强度,揭示机场腹地内部结构的多尺度特征。研究发现:1)超过95%的出港旅客的出发地位于以机场为中心、200 km为半径的圆形区域内,或位于以机场为目的地的90 min等时圈内。2)市级尺度机场核心腹地为石家庄,主要腹地是保定,次要腹地是衡水、邢台、沧州和邯郸,6市进/出港旅客数量占比超过99%;县级尺度进/出港旅客的出行强度呈现圈层结构,且以机场为中心,向外逐步衰减;在乡级尺度,机场腹地不再连续,交通线附近出行强度高;村级尺度进/出港旅客出行密度呈现出城市>建制镇>村庄的特征。该算法为监测机场腹地的时空动态特征提供了工具,也为构建机场腹地的个性化扎根理论提供了支撑。     

国土移动地图系统实现与技术探讨

国土移动地图系统以数字城市地理空间框架为依托,基于数字城市地理信息公共平台发布的数据服务进行开发,供国土系统各单位使用,可以更为有效地利用数字城市的建设成果,大力促进国土部门的信息化建设水平。本文旨在探讨实现该系统过程中遇到的具体问题及解决方法。     

风电场设计私有云GIS平台架构研究

云计算是目前信息产业最热门的技术之一,GIS厂商纷纷将GIS软件迁移至云计算环境。与国外云计算部署不同,国内更青睐私有云技术,企业、政府机构纷纷搭建私有云GIS平台。针对风电场设计的特点,本文基于目前云计算应用和研究,构建了私有云GIS平台的体系框架,并对平台所涉及的主要关键技术进行了深入探索,对私有云GIS模式下的资源进行了详细的分类,包括核心服务、服务管理、用户访问接口3个部分。其中,核心服务将硬件基础设施、软件运行环境、应用程序抽象成服务,可满足多样化的风电场设计应用需要。     

Engaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park

ABSTRACT

Web 2.0 and the proliferation of built-in Global Positioning System (GPS) on smartphones have influenced the increase of geo-crowdsourcing activities in a number of different contexts. The aim of this paper is to evaluate the performance of indigenous people’s use of mobile collection applications that are embedded in a smartphone to facilitate ecotourism asset mapping. In order to achieve this, field usability testing was conducted where structured observational method was used to assess the performance. The findings indicate majority of them can complete the data entry tasks using mobile data collection. The performance of data entries using radio button, icons, camera and audio methods were identified as better than free text and drop-down list methods. There was a correlation between the level of education with the ability of using radio button, drop-down list and image icon as data entry methods. The paper also discusses the extent of local knowledge relating to ecotourism within the community. The findings should be useful in the understanding of the design of mobile geo-crowdsourcing tools for use within other contexts that focus on data collection by semiliterate and indigenous groups.     

基于GIS的承德乡村地名文化景观空间分布特征

将承德地区乡村地名作为离散点,以GIS中移动搜索法的点距离空间平滑分析法为支撑,从地理区域这一角度分析地名文化景观空间分布特征。研究发现：承德地区自然类景观,以“山”、“水文”、“动植物”命名的地名分布主要位于中低海拔高度的平坦地区;承德地区乡村地名文化景观划分为军事活动类、经济活动类、房屋建筑类、美愿与纪念类、满蒙少数民族语言及方言类,其空间分布特征与当地历史时期的军事、生产生活、社会变迁的相对频繁程度以及人口稠密情况基本上相符合。     

Random encounters in probabilistic time geography

Probabilistic time geography considers the encounter of moving agents to be random; therefore, a quantitative time geography analysis must consider the actual encounter probability. The existing algorithm of encounter probability is oriented over a discrete space and is sensitive to the unit definition of a virtual grid; thus, it is not suitable for continuous space. For this reason, a new method is presented in this paper for the encounter of two moving agents in continuous space. When the encounters are less than a specified distance threshold apart, an encounter event occurs based on the probability of the product, which is calculated by their respective probability density functions over their respective potential location areas. This probability provides a quantitative basis for predicting the likelihood of two agents meeting, as well as the location of this meeting point. Finally, the validity of the proposed model is verified by an experiment, which uses tracking data to calculate the encounter probabilities of three zebras and analyse the distribution characteristics of these probabilities over time and space.     

Mapping changes of residence with passive mobile positioning data: the case of Estonia

Similar to every process involving quantitative research, the study of migration heavily depends on the data available for analysis. The available movement data limit the type of questions that can be asked, and as a result, certain aspects of human spatial mobility have yet to be examined. The development of information and communication technologies and their widespread adoption offers new datasets, methods and interpretations that make it possible to study social processes at a new level. For example, mobile positioning data can aid in overcoming certain constraints embedded in traditional data sources (such as censuses or questionnaires) for study of the connections between daily mobility and change of residence. This study presents a framework for mapping changes of residence using data from passive mobile positioning and an anchor point model to better understand the limits of these methods and their contribution to understanding long-term mobility. The study concludes that the most important considerations in monitoring change of residence using passive mobile position data include the continuity of the time-series data, the varying structure of the mobile tower network and the diversified nature of human mobility. The fine spatial and temporal granularities of passive mobile positioning data allow us to study human movement at a detailed scale.     

西部测图移动应急安全自救保障系统研究

移动应急安全自救保障系统是整个"西部测图工程"安全保障体系建设中的最重要组成部分。本文从"西部测图"移动应急安全自救保障建设实际需求出发,结合当前PDA硬件资源的特点,在分析测区作业特点的基础上探讨了系统建设的整体架构以及系统建设的需求特征,并详细阐述了系统的数据组织结构模型,最后给出了系统的相关功能实现和应用。     

运用RS、GPS和GIS技术进行大比例尺土地利用动态监测的实验研究

土地利用数据的更新是土地管理工作的重要内容之一。依靠常规的手段不仅更新速度慢、难以主动发现变化区域,而且成图周期长、误差大。依靠遥感（RS）手段可以主动快速地发现变化区域,运用差分GPS技术可以精确获取土地利用变化的数量和性质,GIS则是管理土地利用的图形数据和属性数据（如土地利用类型、权属、图斑号等）的有效工具。基于RS、GIS和GPS的集成技术建立面向工程目标的土地利用动态监测新方法是本文研究的内容。     

车载LiDAR移动测量系统在城市部件采集的应用

随着数字化、信息化的发展,城市部件作为城市建设、社会发展的重要载体,对智慧城市和数字城管具有重大作用.城市建设面积不断扩大,城市部件采集与管理工作压力日益增加.车载LiDAR移动测量系统作为新兴技术,近年来快速发展,将此技术应用到城市部件采集工作中,使得采集效率、安全性、精度均有较大提升.提出一套基于车载LiDAR移动...