东营市矿产资源开发利用现状与保护措施     

巴文庄  王峰  徐倩  王辉丽  袁峥  齐成彦 《山东地质》2009,(4):38-39

以东营市矿产资源总体规划为指导,进行矿产资源开发利用与保护措施研究,在开发利用现状的基础上分析当前存在的矿产资源后备基地紧缺、综合利用水平不高以及过度开采等问题,进而提出促进矿产资源开发利用与保护的措施,以便更好地为东营市经济建设和社会发展服务。  相似文献   

昌邑市生态地质环境保护对策     

王岳林  ;韩树红  ;张作礼 《山东地质》2009,(9):37-40

昌邑市位于山东省北部莱州湾南岸,南北狭长,南部为丘陵,中部和北部为平原,潍河纵贯南北。在查明市域内各种生态环境地质问题的基础上,将昌邑市划分为4个生态地质环境保护区和1个生态地质环境保护带,针对各区存在的主要问题,提出了不同的保护对策。  相似文献   

数学形态学和模式识别在建筑物多边形化简中的应用   总被引：9，自引：0，他引：9  

王辉连  武芳  张琳琳  邓红艳 《测绘学报》2005,34(3):269-276

针对居民地图形化简的一个方面--建筑物多边形的化简,提出一种在与地图比例尺相关的动态栅格和矢量数据相结合的数据模型支持下,综合利用数学形态学和神经网络支持下的模式识别的化简方法.在Visual C 环境下实现基于此方法的系统并进行实验,实验结果说明此方法在保持街区的形态特征上效果明显.这种方法将制图综合知识融入图形化简操作之中,是自动制图综合智能化的一次新的尝试.  相似文献   

基于机载激光扫描数据提取建筑物的研究现状   总被引：5，自引：3，他引：2  

尤红建  苏林 《测绘科学》2005,30(5):114-116,113

机载激光扫描系统是集成了GPS、惯性导航系统(INS)和扫描激光测距系统并利用飞机作为运行平台,来获取地面的三维位置,进而快速生成数字表面模型(DSM)。随着机载扫描激光测距系统的不断完善和发展,获取城市DSM数据也变得越来越快速,而且方便和经济可靠,地面激光点的密度也大大提高。目前国外激光扫描系统的激光点密度一般都达到了1～20点/m2,因此利用机载激光扫描系统获取的城市DSM提取建筑物也渐渐受到重视。利用激光扫描数据提取建筑物可以分为两大类,第一类是单纯以获取的机载激光测距数据来提取建筑物,第二类是融合激光测距数据和其他相关信息的建筑物提取,如融合航空影像、融合IKONOS高分辨率卫星影像来提取建筑物。本文对国际上利用机载激光扫描测距数据进行建筑物提取的最新研究进展进行了一些分析,同时也给出了应用我国研制的机载激光扫描数据提取建筑物的试验研究和初步结果。  相似文献   

Undocumented Students’ Narratives of Liminal Citizenship: High Aspirations,Exclusion, and “In-Between” Identities     

Rebecca Maria Torres  Melissa Wicks-Asbun 《The Professional geographer》2013,65(2):195-204

This study illustrates how national immigration policy relegates undocumented immigrant children to spaces of liminal citizenship, which shape their aspirations for higher education. Recognizing the power of migrant narratives, and the importance of privileging youths’ voices through children's geographies, we present the narratives of undocumented high school students from several rural North Carolina communities. Despite various barriers facing undocumented students, most have high academic aspirations. Students construct new forms of citizenship, legitimating their claims to higher education access through their achievement. Their liminal status, however, contributes to the formation of conflicted, “in-between” identities.  相似文献   

“Protecting” street children? Urban revitalization and regulation in Lima,Peru     

Dena Aufseeser 《Urban geography》2013,34(6):870-888

In this article, I develop a critical analysis of the relationship between urban “revitalization” campaigns and the regulation of street children in Lima, Peru. Scholars writing mostly in the Global North have drawn attention to increasingly punitive policies regarding public space. While in many regards Lima’s urban policy is reflective of such larger trends, I consider whether the regulation of street children is as punitive as might be assumed. I am particularly concerned with the role that children’s rights play as another logic structuring urban regulation. I first show how a language of children’s rights has been manipulated to justify the removal of street children from public space, as is most evident through Peru’s Law to Protect Minors from Situations of Begging. However, there is also something more ambiguous occurring. In the second part of this article, I examine the uneven implementation of policy: street children themselves resist and rework policies “on the ground,” and children’s rights frameworks may offer possibilities for rupture of formal regulation. I suggest that these overlapping and competing dynamics sustain an uneven and contingent geography of urban regulation.  相似文献   

A Review of: “Applications of Spatial Data Structures: Computer Graphics,Image Processing,and GIS”. By H. SAMET. (Addison-Wesley Publishing Company,Inc, 1989.) [Pp. xv + 507; figures,tables, appendix,references, name and credit index,subject index.] Price US $49.95. ISBN 020150300 X (hardback).     

WOLFGANG KAINZ 《International journal of geographical information science》2013,27(2):253-254

The introduction of automated generalisation procedures in map production systems requires that generalisation systems are capable of processing large amounts of map data in acceptable time and that cartographic quality is similar to traditional map products. With respect to these requirements, we examine two complementary approaches that should improve generalisation systems currently in use by national topographic mapping agencies. Our focus is particularly on self‐evaluating systems, taking as an example those systems that build on the multi‐agent paradigm. The first approach aims to improve the cartographic quality by utilising cartographic expert knowledge relating to spatial context. More specifically, we introduce expert rules for the selection of generalisation operations based on a classification of buildings into five urban structure types, including inner city, urban, suburban, rural, and industrial and commercial areas. The second approach aims to utilise machine learning techniques to extract heuristics that allow us to reduce the search space and hence the time in which a good cartographical solution is reached. Both approaches are tested individually and in combination for the generalisation of buildings from map scale 1:5000 to the target map scale of 1:25 000. Our experiments show improvements in terms of efficiency and effectiveness. We provide evidence that both approaches complement each other and that a combination of expert and machine learnt rules give better results than the individual approaches. Both approaches are sufficiently general to be applicable to other forms of self‐evaluating, constraint‐based systems than multi‐agent systems, and to other feature classes than buildings. Problems have been identified resulting from difficulties to formalise cartographic quality by means of constraints for the control of the generalisation process.  相似文献   

Multi‐scale spatiotemporal analyses of moose–vehicle collisions: a case study in northern Vermont     

Giorgos Mountrakis 《International journal of geographical information science》2013,27(11):1389-1412

Moose–vehicle collisions (MVCs) pose a serious safety and environmental concern in many regions of Europe and North America. For example, in the state of Vermont, one‐third of all reported MVCs resulted in motorist injury or fatality while collisions have increased from two in 1982 to 164 in 2002. Our work used a MVC dataset from 1983 to 1999 in the Northeastern Highlands of Vermont (four major roads) to perform space, time and spatiotemporal analyses and guide future mitigation strategies. An adapted kernel density estimator was implemented for exploratory analyses to detect high density collision hotspots on roads. The kernel in space showed seven major density peaks which varied in magnitude and spread between roads. The kernel estimator in time for all roads showed an exponentially increasing trend with annual periodicity and a seasonal cyclic component, where the majority of collisions occurred from May to October. Spatiotemporal kernel estimation exhibited discontinuous density hotspots in time and space suggesting changing animal movement patterns across roads. We used an adapted Ripley's K‐function to test the hypothesis that MVCs clustering occurred at multiple scales in space, in time and in space–time combined. Statistically significant spatial clustering was evident on all roads at spatial scales from 2 to 10 km. A more consistent clustering in time occurred on all roads at a scale distance of 5 years. Similar to the kernel estimation, annual periodicity was also evident. Positive space–time clustering was present at small spatial (5 km) and temporal scales (2 years) indicating that where MVCs occur is also influenced by when they occur. In retrospect, using multiple road lengths, and the combined kernel estimation and Ripley's K‐function in time and space, provided a powerful methodology to study varying spatiotemporal patterns of wildlife collisions along roads. This can greatly assist transportation planners in identifying optimal mitigation strategies along specific roads, such as deciding on location and spatial length for permanent and expensive measures (e.g. crossing structures and associated fencing) versus less permanent and inexpensive structures (e.g. wildlife signage and reduced speed limits).  相似文献   

Forest Fire Alert System: a Geo Web GIS prioritization model considering land susceptibility and hotspots – a case study in the Carajás National Forest,Brazilian Amazon     

Marcelo Roberto Barbosa  Mario Guimarães Buratto  Leonardo Santana de Oliveira Dias  João Paulo Carvalho Raivel  Flavio Lobos Martins 《International journal of geographical information science》2013,27(6):873-901

To increase the monitoring potential of forest fires, an alert classification methodology using satellite-mapped hotspots has been established to help forest managers in the prioritization of which hotspot to be verified in the field, thus potentially improving the distribution of fire-fighting resources. A computer application was developed based on web-distributed geographical information technology whose main function is to interact automatically generated satellite hotspots and risk areas indicated in fire-susceptibility maps and classify them into five alert levels. The location of the hotspots is available continuously every 4 h, and a susceptibility map is produced daily through map algebra algorithm, which uses static (topography, vegetation and land use) and dynamic (weather) variables. Every process runs through automated geoprocessing routines. The methodology was tested during the dry period of 2007 in the Carajás National Forest, in the Brazilian Amazon, within an area of 400,000 ha. It is a critical area constantly threatened by fires caused by invasions and deforestation owing to intense agribusiness advances and mining activities in its surroundings. This situation results in observations of many hotspots inside the study area for the same day and almost the same time period, in places of extreme opposites, demanding complex rapid analysis and hindering the decision of the displacement of fire-fighting teams. Further, a major mining company operates within the National Forest area, maintaining actions of protection as part of its environmental mining license. Results are presented under three aspects: (i) the credibility of the daily susceptibility map (algorithm), which showed strong correlation between areas of greatest risks and the confirmed forest fires; (ii) the reliability of hotspots (alert levels), confirming 71% of fires; (iii) accuracy in the decision of which hotspot to be checked, which revealed the same number of verifications at different alert levels, 82% confirmed alert 5 hotspots (maximum) and only 50% from alert 1 (minimum), resulting in faster fire-fighting actions, minimizing burned areas and, in some cases, allowing fire control before its spreading. Therefore, the methodology demonstrated that GIS routines are able to determine the relationship between a reality-based, interpreted susceptibility map of the area and satellite-generated hotspots, highlighting the ones of highest hazard level through the alert classification, becoming an important tool to help decisions from the fire-control center, especially for high-risk regions. The methodology may be extrapolated to other forested areas.  相似文献   

Massively parallel spatial point pattern analysis: Ripley’s K function accelerated using graphics processing units     

Wenwu Tang  Wenpeng Feng  Meijuan Jia 《International journal of geographical information science》2013,27(3):412-439

This study presents a massively parallel spatial computing approach that uses general-purpose graphics processing units (GPUs) to accelerate Ripley’s K function for univariate spatial point pattern analysis. Ripley’s K function is a representative spatial point pattern analysis approach that allows for quantitatively evaluating the spatial dispersion characteristics of point patterns. However, considerable computation is often required when analyzing large spatial data using Ripley’s K function. In this study, we developed a massively parallel approach of Ripley’s K function for accelerating spatial point pattern analysis. GPUs serve as a massively parallel platform that is built on many-core architecture for speeding up Ripley’s K function. Variable-grained domain decomposition and thread-level synchronization based on shared memory are parallel strategies designed to exploit concurrency in the spatial algorithm of Ripley’s K function for efficient parallelization. Experimental results demonstrate that substantial acceleration is obtained for Ripley’s K function parallelized within GPU environments.  相似文献