Locating Global System for Mobile Communication(GSM)Base Stations Using Geographic Information System(GIS)

The global system for mobile communication(GSM)is planned to meet the needs of the whole subscribers.The number of subscribers increased as the population increased due to the acceptance of GSM services by the subscribers.Thus,there should be a way to monitor base stations that will meet the increasing demand of subscribers in any area as a population surge will lead to more subscriptions.This will allow GSM network operators to serve their subscribers better and ease network congestion.This work presents a review of mobile evolution from the first generation to the fifth generation.A review of global positioning system(GPS)technology and its applications to geographic information systems(GIS)was done.The coordinates of these base stations were taken using a GPS device.These base station coordinates were then exported to QGIS for the design of the map.Thereafter,the output map was then integrated into the website.The discussions on the results followed and some useful suggestions given will go a long way to help the operators of GSM in Nigeria and in general.If the propositions given are adhered to,it will go a long way to help the operators reduce congestion on their network and thereby increase the satisfaction of the subscribers.

交叉学科视角下的“人文社会GIS”课程教学探索

人文社会地理信息系统(geographical information system, GIS)源于人文科学、社会科学和地理信息科学等多个学科的交叉融合,属于自然科学与人文社会科学的学科交叉领域.本文依托南京师范大学长期开展地理信息科学与人文社会科学交叉融合的科研和教学成果,系统分析了人文社会GIS的交叉学科特性,提出了人文社会GIS的内涵和知识体系,设计了“人文社会GIS”课程的创新教学模式,形成了有代表性的学科交叉课程教学实践案例,对于开展“新工科”和“新文科”背景下的交叉学科研究和复合型人才培养具有较好的参考价值.

基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统

测绘机器人是实现测绘自动化的执行设备,测绘机器人的工作空间更为复杂,给机器人的跟踪控制工作带来较大挑战;为提高测绘机器人跟踪控制效果,设计了基于遥感GIS信息融合的测绘机器人滑模跟踪控制系统;加设遥感信息采集器和GIS信息采集器,改装遥感GIS信息处理器以及滑模跟踪控制器,完成硬件系统的优化设计;考虑信息结构以及信息之间的逻辑关系,构建系统数据库,为遥感GIS信息提供充足的存储空间;根据测绘任务生成机器人滑模移动轨迹,作为机器人的控制目标;采集测绘机器人实时遥感与GIS信息,利用遥感GIS信息融合技术跟踪机器人实时位姿,比对位姿跟踪结果与生成的控制目标,计算滑模跟踪控制量,完成系统的测绘机器人滑模跟踪控制软件功能优化;系统测试结果表明:设计系统的控制误差平均值为1.9 m,抖振幅值为0.8 dB,具有较好的控制效果。

The Development of a Geographic Information System(GIS) Database for Jiuzhaigou National Nature Reserve and Its Application

The objective of this paper is to develop a GIS(Geographic Information System) database for Jiuzhaigou National Nature Reserve(Jiuzhaigou,hereafter) in China and demonstrate its application as a research tool.A cost-effective procedure was developed to compile a variety of geographical and biological data of the study area in terms of popular GIS format such as shape files.These files were further calibrated and validated using field surveys data.The developed GIS database was used to quantify the distributions of the wildlife(amphibians,mammals,and birds) using the distances of the wildlife to the centerline of the bus-tour routes.The Pearson correlation coefficient was used to quantify the correlation in space between pairs of different wildlife using the number of habitats for given space contexts.An ArcObject-based macro was developed to perform the analysis.The results showed the majority of the habitats of wildlife are located in the proximity of the tour-bus routes with an average distance ranging from 564 to 894 m depending on types of wildlife.This indicates a possibility of the disturbance to the wildlife by human activities.The correlation coefficient of the wildlife ranged from 0.36 to 0.64 depending on pairs of wildlife,indicating some correlations in space.However,due to the limited sample size,the statistical significances need to be further investigated.This paper has successfully demonstrated the use of the GIS-based database as a research tool for environmental study.

基于GIS的青岛市绿地景观生态格局与网络构建

定量化研究绿地景观生态格局和网络构建能够为城市绿地系统和国土空间的科学规划提供理论依据与方法支撑。研究基于无线电高空测候(RS)和地理信息系统(GIS)技术,运用总体景观生态格局分析和梯度分析方法,选取12个景观指数,对沿海城市——青岛市的绿地景观生态格局从斑块类型水平和景观水平两方面进行了定量研究。结果表明:斑块类型水平上,区域绿地以大型斑块为主且占优势地位,防护绿地以大中型斑块为主,二者虽空间分布不均匀,但生态效益较好;附属绿地以中小型斑块为主,缺乏大面积绿地建设,景观破碎度高但符合公众游憩需求;公园绿地以小型斑块为主且数量较少,在城区集中分布。景观水平上,城市绿地景观类型较齐全,但整体破碎度高,中部地区景观破碎度高,南部与中北部地区绿地类型多样,景观破碎度高且景观形状较复杂。在此基础上,进而分析了青岛城市绿地景观生态格局存在的问题,提出了“一轴、三核、廊汇成网、节点密布”的城市绿地生态网络优化与构建方案,以提高各类城市绿地连接度水平,发挥绿地生态系统的整体效益。

基于国产GIS+BIM图形引擎的大场景铁路选线系统研发

针对铁路工程大场景选线设计中的地理地质信息即时服务支撑不足与软件平台“卡脖子”等难题,亟需研发具备国产自主可控性的大场景铁路选线系统。首先,结合铁路工程大场景选线设计的工作特点,构建含地理地质环境和选线设计一体化协同业务架构,从系统运行需要具备高扩展、高可用、可弹性伸缩的要求出发,选择并应用Kubernetes+Istio+gRPC微服务系统架构,构建包含数据资源层、基础设施层、数据服务层、核心组件层、应用服务层等基础支撑的技术架构。其次,选用广联达国产BIM几何造型和渲染引擎,并针对铁路线性工程大场景特点突破网格造型轻量化技术和GIS数据融合技术。然后,基于系统架构设计国产图形引擎,研发包含公共能力、地理地质数据动态加载、选线设计工程造价、协同设计等模块的大场景铁路选线系统。最后,系统在长赣、宜涪等约1440 km的铁路选线设计中成功应用,提高线路方案优化决策的质量和效率。系统研发结果表明,大场景铁路选线系统基于自主国产图形引擎,并整合最新的BIM和GIS技术,为用户提供一站式的选线设计服务,系统实现地理地质场景的高效构建及协同选线设计的高效实施,通过在长赣、宜涪等铁路选线设计中应用这些研究成果,进一步验证了其实用性和有效性,这些应用不仅为铁路工程带来了显著的经济效益,还为社会和生态环境带来了积极的影响。

The Demographic Impact on Credit Scores＂ Evidence From Statistical Methods and Geographic Information Systems （GIS） Mapping

Average credit scores for people in the United States （US） differ from state to state. Some states have high, and some states have low average credit scores. Since lenders and employers use credit scores to make loan and employment decisions, people living in states where average credit scores are high should experience the benefits of living where credit scores tend to allow more favorable loan and employment decisions. Although credit scores are the direct result of credit histories, credit histories may be impacted by demographic factors. If the demographic factors that impact credit histories are identified, ways to improve credit scores are likely to be discovered and available to people and state government policymakers. This study looks for demographic factors to indirectly explain the average credit scores for people living in each state of the US. The methodology includes statistical analyses and geographic information systems （GIS） mapping. Statistical analyses provide evidence to suggest that state average credit scores are explained by the demographic factors of education, family, income, and health. GIS mapping reveals clusters of states with similar demographics and credit scores.

Graphic Processing Unit-Accelerated Mutual Information-Based 3D Image Rigid Registration

Mutual information （MI）-based image registration is effective in registering medical images, but it is computationally expensive. This paper accelerates MI-based image registration by dividing computation of mutual information into spatial transformation and histogram-based calculation, and performing 3D spatial transformation and trilinear interpolation on graphic processing unit （GPU）. The 3D floating image is downloaded to GPU as flat 3D texture, and then fetched and interpolated for each new voxel location in fragment shader. The transformed resuits are rendered to textures by using frame buffer object （FBO） extension, and then read to the main memory used for the remaining computation on CPU. Experimental results show that GPU-accelerated method can achieve speedup about an order of magnitude with better registration result compared with the software implementation on a single-core CPU.

Using Geographic Information Systems (GIS) for Targeted National Recruitment of Community-Dwelling Caregivers Managing Dementia-Related Behavioral and Psychological Symptoms: A Recruitment Approach for a Randomized Clinical Trial

Over 16 million caregivers of people living with dementia require support in a range of issues, including self-care, disease education, and guidance for how to manage behavioral and psychological symptoms of dementia (BPSD). Non-pharmacological interventions are needed to address these areas, and online applications have been shown to be safe and effective. To ensure the efficacy of such interventions, racially, ethnically, geographically, and socioeconomically diverse participants must be recruited to increase the generalizability of study outcomes. This protocol paper describes a recruitment plan using Geographic Information Systems (GIS) to reach a representative sample of caregivers across the United States for a national Phase III clinical study. Using publicly available census data from the American Community Survey (ACS), combined with location data for local aging resources such as Area Agencies on Aging (AAA), recruitment will be derived from data analysis conducted in ESRI ArcGIS v10.7.1. Datasets including age, gender, income, and education will be assessed nationally at the county and census tract spatial scale in a nine-step process to develop recruitment priority areas containing high concentrations of eligible participants living in the community. Overall, the current protocol will demonstrate the value of GIS in tailoring targeted outreach strategies to recruit community-dwelling populations through local resource institutions. This novel approach may have far-reaching implications in future recruitment initiatives and help to secure racially/ethnically diverse samples.

Development of Large-Scale Land Information System (LIS) by Using Geographic Information System (GIS) and Field Surveying

Cadastral maps are an important component of land administration in most countries. In virtually all developed countries, the needs of computerized land and geographic information systems (LIS/GIS) has given urgent impetus to computerizing cadastral maps and creating digital cadastral data bases (DCDB). This process is creating many institutional, legal, technical and administrative problems. This desire to establish DCDBs is being given increased impetus due to a new range of enabling technologies such as satellite position fixing (GPS), improved spatial data collection techniques such as digital theodolites and “soft copy” photogrammetry, as well as a vast range of new information and communications technological tools, thus contributing to the advancement and keeping up with the great countries. This paper presents the problem of cadastral maps. The hitherto existing cadastre, consisting of paper maps and land registers, is now becoming insufficient. Its shortcomings force developments leading to its improvement. One of the ways is the creation of a Land Information System. A digital cadastral map is the main component of this system. The structure and information content of the map is presented, its differences from analogue maps are shown, and the process of map creation is described. A digital cadastral map can be the basis for additional thematic layers, successively converting it into a complex system for management of administrative units.

Bioenergy Crops as a Promising Alternative to Fossil Fuels in Louisiana: A Geographic Information System (GIS) Perspective

Rising greenhouse gas emissions are causing climate change, and the world’s focus has shifted to the need to reduce our reliance on fossil fuels. There has been a rise in the published literature on the utilization of crops for bioenergy production in Louisiana. However, very few scholarly documents have used Geographic Information Systems (GIS) to map the distribution of potential bioenergy crops in Louisiana. This study seeks to fill the void by evaluating the potential of bioenergy crops in Louisiana for energy production using GIS. Given this objective, the agricultural census data for 1999, 2009, 2019, and 2020 obtained from the U.S. Department of Agriculture were used in the analysis. The quantities of various crops produced in the state were loaded into an attribute table and joined to a shapefile using ArcGIS software. The symbology tool’s graduated option was used to create five maps representing each of the bioenergy crops in Louisiana. The findings of the GIS analysis show that some of the parishes, such as Franklin produced the most bushels of corn (13,795,416), Iberia produced the most tons of sugarcane (1,697,980), East Carroll produced the most bushels of soybean (8,237,991), Tensas harvested the most bales of cotton (80,898) and Avoyelles produced the most bushels of sorghum (630,694). The abundance and availability of crops as raw materials for energy production will translate into lower prices in terms of energy use, making bioenergy crops a promising alternative to fossil fuels. In addition, gasoline price data from 1993-2022 was obtained from U.S. Energy Information Administration. A regression model for the average annual gasoline price over the years was constructed. The results show that the average annual gasoline price variation with respect to years is statistically significant (p 0.05). This suggests that gasoline prices will generally rise despite a price drop over the years. The paper concludes by outlining policy recommendations in the form of assessing the availability and viability of other crop types, such as wheat, oats, and rice, for energy production in the state.

Water Runoff Estimation Using Geographical Information System (GIS) for Alrakhmah Basin Valley Northeast of Iraq

The lack of water resources in many regions is the main challenge for the human being and to extended investigations. Water resources controlling and management is essential in the areas depending on the seasonal rainfall. This research aims to estimate the surface water runoff for Basin of Alrakhmah Valley located in the southwestern part of Kirkuk Province in northeastern of Iraq. Analyzing of Spatial data and Digital Elevation Model (DEM) data has been conducted using Geographic Information System (GIS) to estimate the hydrological properties for the watershed valley with 158.5 km2 surface area. The results showed that watershed valley type is from the fifth rank with a longitudinal shape and topography percentage of 0.568. The watershed textures found to be 3.24 and the drain density 1.5 at 3.49 river branching. Finally, the annual estimated surface water retreat according to the morpho-hydro climatic elements found to be 0.01286233 milliard cubic meter.

基于电磁瞬态过程的GIS隔离开关分合位置确认方法研究

GIS隔离开关在电力系统中扮演着重要角色,但分合闸不到位故障会威胁系统安全。传统的状态检测方法所反映的腔体内部信息有限,文中提出了一种基于电磁瞬态过程的新方法。利用在GIS隔离开关带电分合过程中产生的电磁瞬态信息,通过分析电磁瞬态信号的起止时间与开关动静触头位置关系,反演GIS隔离开关腔体内动静触头状态。同时,还提出了一种低采样频率下提取高频电磁瞬态信号特征的方法,并开发了相应的采集装置。不仅有效降低了数据采集量,同时可以成功确认GIS隔离开关的分合位置。最后通过实验证明了文中提出方法的有效性。

基于移动GIS的招商空间信息系统设计与实现

针对诸多招商信息系统缺乏地理空间信息数据展示的问题,综合运用地理信息技术、移动互联网和数据库技术,以空间地理信息为载体,设计在线与离线的运行模式,方便用户随时随地使用空间信息服务,满足各级用户的工作需要,有效提高政府人员的工作效率,为招商引资、展示城市风貌提供信息化辅助手段。

基于GIS的灌区土壤投入品残留污染监测预警系统

为了解决工业发展导致的灌区土壤投入品残留污染问题,给出一种基于地理信息系统(geographic information system,GIS)的土壤污染监测预警系统。该系统结合VOC-PF1型传感器、STM32主控芯片和GSM通信模块,实现了高效的数据采集和通信功能。通过反距离加权(inverse distance weighted,IDW)插值法进行空间分析,并设立预警阈值,实现对灌区土壤投入品残留污染的实时监测和预警。实验结果表明:该系统的监测精度高达98%,监测时长最高为49 s,具有很高的实用性和效率。研究结果不仅为灌区土壤投入品残留污染监测提供了有效手段,也为环境保护和农业可持续发展提供有力支持。

基于GIS的土壤墒情信息采集与监测系统

文章详细描述一个由微控制器建立的农田土壤墒情监测系统,该系统主要包括STM8S系列微控制器、土壤湿度传感器、DS18B20温度传感器、4G网络模块、北斗导航模块以及环境传感器等部分,能够实时收集农田土壤和空气的温湿度以及大气压力数据。该系统通过网络模块将收集的传感器信息传输至服务器,并用北斗系统对采集地点进行卫星定位。通过GIS软件,系统能实时追踪土壤湿度状况,并构造出土壤墒情的空间分布图。农户可通过手机APP实时查看土壤墒情信息,并通过APP的数据分析来确定农田的供给情况,并做出反应。经过实际测试,该系统操作简洁、性能稳定,可以帮助农户管理农田。

基于Cesium的铁路桥梁三维GIS场景构建研究

随着铁路工程领域数字化、信息化、智能化不断推进,将铁路工程信息模型与大范围真实地理环境融合,通过互联网在线可视化与分布式多终端共享展示铁路工程三维场景成为发展趋势。本文基于开源Cesium平台,从铁路工程三维地理场景构建,铁路桥梁BIM模型参数化建模、融合与定位,到铁路三维GIS场景交互与应用功能开发,设计了面向铁路工程空间信息模型的三维GIS场景构建方案,实现了铁路桥梁BIM模型三维GIS场景的三维漫游、空间查询、地形分析、日照分析、剖切分析等功能应用,为铁路数字工程BIM+GIS开放共享应用管理和展示提供了技术路径。

基于GIS的历史文化街区应急疏散能力可视化评估研究

为评估历史文化街区在旅游高峰期的应急疏散能力,探究街区的应急疏散风险区域。研究从点-线-面的角度出发,考虑行人特征因素、街巷路网因素和建筑结构因素,构建应急疏散能力评价模型。采用ANP-EWM综合评估方法确定各因素权重值,应用GIS技术进行因素可视化分级处理。在此基础上,采用空间分析方法,对单因素分级分析赋权重后进行加权叠加处理,得到历史文化街区应急疏散能力的可视化数据。以西安回民街为例进行实证分析,探究街区应急疏散能力风险区域。研究结果表明:所构建模型可以实现对研究区界的应急疏散能力可视化分级评估,反映回民街不同等级疏散风险情况。研究结果可为景区应急疏散与制定安全管理措施提供参考。

GIS技术在洪水灾害中的应用研究综述

地理信息系统(GIS)是一种专用于处理地理和空间信息的计算机系统。当前,随着计算机技术的逐渐成熟,GIS技术的空间分析等特点对于水资源的规划与管理有着重要的研究意义,其中在洪水灾害中的应用是近年来研究发展的一个重点。通过GIS技术建立洪水模拟模型,进行预测预警,以此为防洪抗涝提出更加科学的决策建议,降低频发的洪涝灾害事件所带来的损失。该文针对其在洪水灾害中的预测、风险图绘制、模型建立及避险路线进行评述,提出当前存在的问题,并对今后GIS在洪水灾害中的应用进行展望。

基于GIS+BIM的地铁工程实景三维可视化关键技术及应用

针对地铁工程项目可视化管理中存在的模型精细化不足、数据集成与展示不充分及真实性欠缺等问题,本研究提出了利用GIS和BIM技术作为解决方案,提升地铁工程实景三维建设的效果。首先研究构建了地铁工程实景三维平台的建设框架,分析了数据集成与融合、动态层次加载、模型轻量化与显示等关键技术。随后以深圳地铁14号线工程为案例,进行了实景三维可视化平台的建设与功能应用。案例涵盖了工程建设管理图、空间分析可视化、多视角场景漫游及BIM可视化与属性查询等内容,实现了地铁工程项目多源异构数据与模型的集成,提供了多尺度的实景三维可视化展示,为项目管理与决策提供了有力支持。