“智慧地图”体系构建研究

随着“智慧地球”“智慧城市”的发展,以及人类科学技术和对自然认识水平的提高,传统的空间信息显示与简单的数据存储、管理已不能满足我们对空间认知的需求,空间信息获取的广泛性、时效性、便捷性以及地图服务的智能化与人性化已经成为当前地图行业需求热点.同时,物联网、云计算等新兴信息技术的迅速发展所引爆的第三代信息革命为现代地图学的发展带来了新的契机.本文以地图学历史发展为主线,系统梳理“地图”的相关概念、内涵及技术理论,并结合当前经济、社会及技术背景,重新整合地图的发展需求、内涵及技术体系,提出一种全新的“智慧地图”概念,为现代地图学及数字地图技术的发展提供一种新的视角与理论方法框架.     

基于SLEUTH模型的城市空间增长模拟研究--以焦作市为例

利用1988,1992,2001,2008年4个时相的遥感影像和GIS技术获取历史数据,采用SLEUTH模型,对焦作市未来城市空间演变进行研究。结果显示：SLEUTH模型重现了焦作市1988~2008年城市空间演变形态,模拟结果与实际情况比较吻合,充分证明SLEUTH模型具有普适性,通过校正能较好地描述城市增长的自然规律;预测模拟了2009~2020年城市空间增长,城市扩展趋势是新扩展中心出现边缘式扩展,向周围地区蔓延,在交通轴线连接下,形成组团式布局。研究结果为研究区城市发展及政府制定规划提供了科学决策依据。     

垂直应变的研究意义及模型分析

近20多年来国内垂直应变领域一直无人涉及.垂直应变量的获取可将应变固体潮从平面应变观测提升到三维空间应变观测.本文说明了垂直应变观测的必要性,建立了垂直应变观测系统的原始模型,并提出了研制的难点和理论上的解决方法.     

西方国家办公空间研究综述

文章分别从区位论、城市空间结构理论等角度入手,总结了西方早期上述理论体系中办公空间研究的相关内容,并从办公空间的区位特征、集聚与扩散及其空间结构形成机制等方面对西方战后在办公空间方面的研究进展进行了综述,还对西方办公空间的研究方法进行了总结,最后结合我国的实际情况对西方的研究进行了述评,以期为我国相同领域研究的开展提供一点启示。     

典型的太阳质子事件峰值流量的一种预报方法

分析了1988~2006年中62个典型的太阳质子事件,发现其归一化后峰值流量变化具有很好的统计规律,根据该规律提出了一种对太阳质子事件峰值流量进行预报的方法.试验预报结果表明,太阳质子事件峰值流量的预报值和实测值都在同一个量级以内,平均相对误差为32％,预报误差在可接受范围内.本文方法对于日常预报业务而言是实用和可行的.     

云南维西格坡洛斑岩型锑矿矿床成因

锑矿化集中于喜马拉雅期石英斑岩内接触带,存在矿源层形成、充分分异及近地表成矿三个阶段。可作为滇西碱性岩锡矿床典型。     

Ranking spaces for predicting human movement in an urban environment

A city can be topologically represented as a connectivity graph, consisting of nodes representing individual spaces and links if the corresponding spaces are intersected. It turns out in the space syntax literature that some defined topological metrics can capture human movement rates in individual spaces. In other words, the topological metrics are significantly correlated to human movement rates, and individual spaces can be ranked by the metrics for predicting human movement. However, this correlation has never been well justified. In this paper, we study the same issue by applying the weighted PageRank algorithm to the connectivity graph or space–space topology for ranking the individual spaces, and find surprisingly that: (1) the PageRank scores are better correlated to human movement rates than the space syntax metrics, and (2) the underlying space–space topology demonstrates small world and scale free properties. The findings provide a novel justification as to why space syntax, or topological analysis in general, can be used to predict human movement. We further conjecture that this kind of analysis is no more than predicting a drunkard's walking on a small world and scale free network.     

Monitoring disasters with a constellation of satellites – type examples from the International Charter ‘Space and Major Disasters’

In the case of a major disaster, information derived from satellite observation is not only highly useful, it may at times be indispensable because of the damage caused by the disaster to ground infrastructure. The International Charter ‘Space and Major Disasters’ (‘the Charter’) has been one of the primary sources of satellite data for the past 11 years to cover events like floods, fires, tsunamis, ocean storms, earthquakes, volcanic eruptions and oil spills. With the growing membership of the Charter, an increasingly large number of sensors are now available, which can be planned with the required temporal frequency and spectral range to cover a disaster event. Some of the type Charter activation cases are reported in this article to demonstrate the innovative use of multi-satellite imagery for disaster response.     

Space,time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data

ABSTRACT

Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integrate space, time, and content dimensions in social media data and enable a space–time analysis of detailed social responses to a natural disaster. Using Markov transition probability matrix and location quotient, we analyzed the Hurricane Sandy tweets in New York City and explored how people’s conversational topics changed across space and over time. Our approach offers potential to facilitate efficient policy/decision-making and rapid response in mitigations of damages caused by natural disasters.     

东川汤丹铜矿矿权实地核查数据检查方法

对东川区汤丹铜矿矿业权实地核查中,单矿业权成果数据容易出现的问题进行分析研究,总结出矿业权实地核查单矿权数据检查的方法与重点。