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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

29
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...
29
Distance Measurements by Taping01:18

Distance Measurements by Taping

46
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
46
Levels of Use of a GIS01:29

Levels of Use of a GIS

56
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
56
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

90
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
90
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

56
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...
56
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

63
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...
63

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相关实验视频

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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现在使用创新的人类流动性数据进行旅游夜晚的播放.

Umberto Minora1, Stefano Maria Iacus2, Filipe Batista E Silva1

  • 1European Commission, Joint Research Centre, Ispra, Italy.

PloS one
|October 13, 2023
PubMed
概括

谷歌社区流动性报告现在可以高准确地预测旅游需求. 这种新型数据源为旅游统计提供了及时的见解,尽管存在隐私问题,但有助于管理.

科学领域:

  • 旅游研究旅游研究
  • 数据科学是数据科学.
  • 时间空间分析.

背景情况:

  • 旅游业统计数据往往落后于动态需求,特别是在危机期间.
  • 及时的数据对于有效的旅游监测和管理至关重要.
  • 像数字痕迹这样的替代数据源提供了潜在的解决方案.

研究的目的:

  • 探索谷歌社区流动性报告的潜力,以预测旅游需求.
  • 评估人类流动性数据在预测月度酒店住宿的准确性.
  • 为了比较移动数据与网络搜索和手机数据的有效性,用于旅游分析.

主要方法:

  • 利用机器学习模型来分析人类移动数据.
  • 专注于2020年至2022年中期的11个欧洲国家.
  • 将预测性能与传统和替代数据源进行比较.

主要成果:

  • 人类流动数据在现在预测旅游需求 (每月度过的夜晚) 中显示出高准确度.
  • 谷歌社区流动性报告显示,实时旅游统计的巨大潜力.
  • 与网络搜索和手机数据相比,性能具有竞争力.

结论:

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  • 人类流动性数据为旅游需求预测提供了可行,准确和及时的替代方案.
  • 这有助于更频繁,更灵活地制作旅游统计数据.
  • 隐私和监控问题仍然是广泛采用的挑战.