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Wirkungsermittlung eines umweltsensitiven Verkehrsmanagements auf Basis von Verkehrs-, Umwelt- undWetterdaten in der Stadt Frankfurt am Main / Impact Assessment of an Environmentally-focused TrafficManagement Based on Traffic, Air Quality and Weather Datain the City of Frankfurt am Main 《法兰克福城市环境敏感性交通管理研究》/《基于交通、空气质量和天气数据的环境交通管理影响评估》
Pub Date : 2019-01-01 DOI: 10.14627/537669020
G. Pucher, V. Kanngiesser, Sebastian Gatscha, S. Krampe
Adequate traffic management measures can contribute to a reduction of traffic-related emissions. Through a precise assessment of effects on traffic and air quality caused by such measures, their planning and implementation can be conducted on an informed basis, potentially improving effectiveness. In this paper, requirements and components of a software-aided impact assessment of environmentally-focused traffic management measures are described. In the research project ‘school’, a respective software is developed and put to test in the city of Frankfurt am Main.
适当的交通管理措施有助于减少与交通有关的排放。通过准确评估这些措施对交通和空气质量造成的影响,这些措施的规划和实施可以在知情的基础上进行,从而可能提高效率。本文描述了以环境为中心的交通管理措施的软件辅助影响评估的要求和组成部分。在研究项目“学校”中,开发了一个相应的软件,并在美因河畔法兰克福市进行了测试。
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引用次数: 0
Ersatzwertbildung für stationäre Verkehrsdetektoren / A Replacement Value Procedure for Stationary TrafficDetectors Ersatzwertbildung f<e:1> r stationäre Verkehrsdetektoren /固定式交通检测器的替换值程序
Pub Date : 2019-01-01 DOI: 10.14627/537669017
Lukáš Gráf, G. Pucher, Sebastian Gatscha
The correct and complete recording of traffic counts constitutes an important basis for controlling and monitoring traffic flows. To avoid disruptions of dependent systems during malfunctions or failures of measuring equipment, replacement value procedures are applied. In this paper, a clusterbased approach for identifying adequate replacement values for traffic counts from stationary traffic detectors is introduced. Statistical and spatial aspects are considered in the approach. Both absolute values as well as temporal dynamics of traffic counts could be determined with high accuracy.
正确、完整地记录交通流量是控制和监测交通流量的重要依据。为了避免在测量设备发生故障或故障时干扰相关系统,应用了重置价值程序。本文介绍了一种基于聚类的方法,用于从固定的交通检测器中识别适当的交通计数替换值。该方法考虑了统计和空间方面。交通流量的绝对值和时间动态都可以精确地确定。
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引用次数: 1
Qualitätssicherung von Geodaten in einer Forschungsumgebung / Quality Assurance of Geodata in a Research Environment Qualitätssicherung von Geodaten in einer Forschungsumgebung /研究环境中地理数据的质量保证
Pub Date : 2019-01-01 DOI: 10.14627/537669004
Sebastian Steppan, H. Müller
Geodata are generated in a wide variety of research disciplines. A research environment was implemented in the form of a spatial data infrastructure; it provides tools for archaeologists and historians to collect, store and analyse data within a framework of harbour research. Standardized routines for data collection and quality control were established, the locations of all harbours investigated in the various projects of an extensive research programme can be visualized as data points. A multitude of relevant context information is provided from the fields of geology, hydrology and meteorology, by integrating into the system as web map services on topics such as the course of coastlines and waters, water depths and wave heights. In that way, the importance of using spatial information as a basis for in depth analyses and identification of future research topics for the humanities is demonstrated.
地理数据产生于各种各样的研究学科。以空间数据基础设施的形式实施了研究环境;它为考古学家和历史学家提供了在港口研究框架内收集、存储和分析数据的工具。建立了数据收集和质量控制的标准化程序,在广泛的研究方案的各个项目中调查的所有港口的位置都可以作为数据点可视化。通过将海岸线和水域的路线、水深和浪高等主题作为网络地图服务集成到系统中,提供了来自地质学、水文学和气象学领域的大量相关背景信息。通过这种方式,展示了利用空间信息作为深入分析和确定未来人文学科研究主题的基础的重要性。
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引用次数: 0
Monitoring der Winterbegrünung auf Ackerflächen anhand von Satellitendaten / Monitoring of Winter Vegetation on Arable Land Based onSatellite Data 监测der winterbegr<s:1> nung auf Ackerflächen anhand von satellite enddaten /基于卫星数据的耕地冬季植被监测
Pub Date : 2019-01-01 DOI: 10.14627/537669007
Magdalena Ochsenbauer, Wolfgang Ehbauer, Franziska Brohmeyer, M. Prasch, F. Ebertseder
An important measure of water and erosion protection on arable land is land cover throughout the year. Cultivation of one-year crops can lead to longer periods without vegetation cover, especially during wintertime. The cultivation of so-called catch crops is only captured if it is part of the area based subsidies and considered for the application of the farmer. In addition, however, where in winter the ground is covered is not known. Based on the analysis and interpretation of satellite data (Sentinel-2 data) and data from the agricultural administration, a study was carried out to determine the extent and intensity of winter vegetation on arable land. The validations show that the leaf area index (LAI) derived from the satellite data is a good indicator of the degree of winter soil cover. The average weighted LAI figures for the whole of Bavaria are still relatively high in October 2017, to decline more or less sharply in the period from November to February 2018.
耕地水土流失防护的一项重要措施是全年土地覆被。一年生作物的种植会导致更长时间没有植被覆盖,尤其是在冬季。所谓捕获性作物的种植,只有在作为以地区为基础的补贴的一部分并考虑供农民申请时,才会被收缴。此外,冬天地面被覆盖的地方是未知的。基于卫星数据(Sentinel-2数据)和农业管理数据的分析和解释,对耕地冬季植被的范围和强度进行了研究。验证结果表明,利用卫星数据反演的叶面积指数(LAI)能较好地反映冬季土壤覆盖程度。2017年10月,整个巴伐利亚州的平均加权LAI数据仍然相对较高,11月至2018年2月期间下降幅度较大。
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引用次数: 0
Geographischer Zugang zur Gesundheitsversorgung versus Patientenwahrnehmung / Geographic Access to Health Care versus Patient's Perception 地理学家Zugang zur Gesundheitsversorgung与Patientenwahrnehmung /地理上获得医疗保健与患者感知
Pub Date : 2019-01-01 DOI: 10.14627/537669002
Jonas Pieper, J. Schmitz, N. Baier, Verena Vogt, R. Busse, J. Schweikart
Several spatial analysis methods are available today to quantify the geographical access to outpatient healthcare. However, the calculated access does not always correspond to the patient’s perception. This is caused by various individual access barriers. In the CaptureACCESS study, locally adapted geographic analyses, optimized for the Berlin and Brandenburg study areas, are developed. A patient survey will be conducted, which aims to capture the perceived access barriers. A comparison of the geographically measured with the perceived access makes it possible to evaluate best methods of analysis, considering the patient’s perspective.
目前有几种空间分析方法可用于量化门诊医疗保健的地理访问。然而,计算的通道并不总是与患者的感知相对应。这是由各种个人访问障碍造成的。在CaptureACCESS研究中,开发了适合柏林和勃兰登堡研究区域的本地地理分析。将进行一项患者调查,其目的是捕获感知到的访问障碍。地理测量与感知通道的比较使评估最佳分析方法成为可能,考虑到患者的观点。
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引用次数: 1
Geovisualization of Mercury Sediment Contamination in Lake Ontario / Geovisualisierung von Quecksilber-Kontamination in den Sedimenten des Ontariosees 宇宙射线的地球观测仪—在安大里奥湖水星污染进行
Pub Date : 2019-01-01 DOI: 10.14627/537669033
K. W. Forsythe, Chris H. Marvin, Debbie A. Burniston, Michael W. Macdonald, James P. Watt
Geovisualization of 1968 and 1998 mercury surficial sediment concentrations was enhanced through the use of three-dimensional “3D” bathymetry data. Kriging was performed on the concentration values to create two-dimensional “2D” representations of the lake-bottom sediment surfaces. These were then integrated with the bathymetry data. The 3D representations provide much more insight to the actual range of concentration values and the location of heavily contaminated areas. Deep lake basins and proximity to current and former industrial areas, along with water inflow zones were identified as problem localities. The results can be useful in the planning of future sediment surveys and can also provide information for the prioritization of sediment quality assessment programs.
通过使用三维“3D”测深数据,增强了1968年和1998年汞地表沉积物浓度的地理可视化。对浓度值进行克里格分析,以创建湖底沉积物表面的二维“二维”表示。然后将这些数据与测深数据相结合。3D表示提供了更多的深入了解浓度值的实际范围和严重污染区域的位置。深湖盆地和靠近现有和以前的工业区,以及水流入区被确定为问题所在。研究结果可为今后沉积物调查的规划提供参考,也可为沉积物质量评价方案的优先排序提供参考。
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引用次数: 1
Einsatz von Deep Learning zur automatischen Detektion und Klassifikation von Fahrbahnschäden aus mobilen LiDAR-Daten / Deep Learning for Automatic Detection and Classification ofRoad Damage from Mobile LiDAR Data 利用深入学习自动侦测并对来自移动LiDAR数据/深入的自动侦测和分类的ofRoad数据造成的损坏进行分类
Pub Date : 2019-01-01 DOI: 10.14627/537669009
Maximilian Sesselmann, R. Stricker, Markus Eisenbach
In the context of automated data analysis, convolutional neural networks and the use of deep learning approaches have become state of the art. In the field of road condition assessment and evaluation, the performance of deep neural networks for the analysis of camera image data has already been demonstrated. For the first time, this methodology is to be applied to high-precision mobile LiDAR data of the Fraunhofer Pavement Profile Scanner in the form of 2.5D surface models in order to realize automatic road damage detection and classification on the basis of radiometric and geometric features. Thus, an automated detection of road damage in the form of precisely located geo objects is possible.
在自动化数据分析的背景下,卷积神经网络和深度学习方法的使用已经成为最先进的技术。在道路状况评估和评价领域,深度神经网络在摄像机图像数据分析方面的性能已经得到了验证。首次将该方法应用于弗劳恩霍夫路面轮廓扫描仪的高精度移动LiDAR数据,以2.5D表面模型的形式,实现基于辐射特征和几何特征的道路损伤自动检测和分类。因此,以精确定位的地理物体的形式自动检测道路损坏是可能的。
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引用次数: 3
Offline-MapMatching - ein QGIS-Plug-in zum Abgleich einer Trajektorie mit einem Wegenetz / Offline-MapMatching - A QGIS Plugin for Matching aTrajectory with a Network 线程map算术——qgi加图标和网络数学加图谱
Pub Date : 2019-01-01 DOI: 10.14627/537669014
C. Jung
Map Matching is the problem of comparing measured coordinates with the information of a map, e. g. the comparison of a point-shaped trajectory with a line-shaped network. A purely spatial analysis with a GIS does not deliver satisfactory results in many cases. The plugin Offline-MapMatching is the first extension for QGIS to realise a map matching with stochastic methods. This paper describes the process flow, the mathematical principles and the parameters of the plugin.
地图匹配是将测量坐标与地图信息进行比较的问题,例如将点状轨迹与线状网络进行比较。在许多情况下,使用GIS进行纯粹的空间分析并不能提供令人满意的结果。离线地图匹配插件是QGIS实现随机方法地图匹配的第一个扩展。本文介绍了该插件的工艺流程、数学原理和参数。
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引用次数: 0
Rostock auf Twitter - Geolokalisation und Auswertung von Tweets mit Bezug zur Hanse- und Universitätsstadt Rostock / Rostock on Twitter - Geolocalisation and Evaluation ofTweets Related to the City of Rostock 罗斯托克在推特上关于河畔和大学城市罗斯托克/罗斯托克的地质学分析和评价
Pub Date : 2019-01-01 DOI: 10.14627/537669028
Ferdinand Vettermann, R. Bill
The presented method is able to locate tweets at a local scale in a region, where the activity in social networks is relatively sparse. A total of 29771 tweets with reference to the city of Rostock and an average accuracy of 83 % could be located over a period of six weeks. The example of the AfD demonstration on 22.09.2018 shows, that individual events can be tracked in near real time. This can be a source of essential additional information in various areas from event management to disaster control. But it is also possible to derive information about social-cultural hotspots on a larger scale, which can be used, for example, for urban and environmental planning. Especially the textual meta information contained in the tweets is of great importance. For example, conclusions can be drawn about political positions, topics or moods.
所提出的方法能够在社交网络活动相对稀疏的区域内以局部尺度定位tweet。在六周的时间里,总共有29771条关于罗斯托克市的推文,平均准确率为83%。2018年9月22日德国另类选择党示威的例子表明,个人事件可以被近乎实时地跟踪。这可以作为从事件管理到灾难控制等各个领域的重要附加信息的来源。但是,也有可能在更大的范围内获得社会文化热点的信息,例如,这些信息可以用于城市和环境规划。特别是tweets中包含的文本元信息非常重要。例如,可以得出关于政治立场、话题或情绪的结论。
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引用次数: 0
Anforderungsanalyse zur Integration von raumzeitlichenDaten in 4D-Geodateninfrastrukturen (4D-SDIs) / Requirements Analysis to Integrate Spatio-temporal Data in4D Spatial Data Infrastructures (4D-SDIs) 四维地理数据基础设施(4d - sdi)中的时空数据集成/四维空间数据基础设施(4d - sdi)中时空数据集成需求分析
Pub Date : 2019-01-01 DOI: 10.14627/537669024
M. Mittlböck, Bernhard Vockner, Laura Knoth, Caroline Atzl, Stefan Jaquemar, Clemens Naderer
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引用次数: 0
期刊
AGIT- Journal fur Angewandte Geoinformatik
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