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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

14
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
14
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

19
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
19
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

15
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
15
Errors in Global Positioning System01:26

Errors in Global Positioning System

22
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
22
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

36
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
36
Manipulation and Analysis01:21

Manipulation and Analysis

13
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
13

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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从移动定位数据中揭示城市区域.

Gergő Pintér1

  • 1ANETI Lab, Corvinus Institute for Advanced Studies, Corvinus University of Budapest, Budapest, 1093, Hungary. gergo.pinter@uni-corvinus.hu.

Scientific reports
|December 27, 2024
PubMed
概括

发布人类移动数据对于研究至关重要,但仅仅隐藏观察区域对于隐私来说是不够的. 将噪音添加到轨迹中是一种更有效的方法,可以在城市移动数据集中保护个人隐私.

科学领域:

  • 数据科学数据科学数据科学
  • 城市研究 城市研究
  • 隐私工程 隐私工程 隐私工程

背景情况:

  • 发布人类移动数据带来了隐私挑战.
  • 匿名化,空间隐私化和位置删除是常见的隐私技术.
  • 隐藏观察区隐私的有效性受到质疑.

研究的目的:

  • 确定隐藏观测区域是否足够保护城市移动数据中的隐私.
  • 调查人类流动模式是否固有地揭示了城市位置.
  • 评估替代方法来加强移动数据集中的隐私.

主要方法:

  • 分析城市流动数据特征.
  • 在具有开放数据集的多个城市中测试定位方法.
  • 不同的空间隐私化单位来评估对隐私的影响.

主要成果:

  • 移动数据的特征,如活动密度,可以揭示城市景观.
  • 隐藏观察区不足以防止城市地区的识别.
  • 城市活动的轮甚至可以用粗的空间单位来推断.

结论:

关键词:
在 HuMob2023 挑战中,移动定位数据 移动定位数据反向工程是一种逆向工程.城市流动性 城市流动性在YJMob100K中使用.

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  • 隐藏观测区域不足以保护城市移动数据中的隐私.
  • 城市地区的人类流动模式本质上是揭示性的.
  • 建议将噪音添加到轨迹中,以减轻隐私风险.