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相关概念视频

Manipulation and Analysis01:21

Manipulation and Analysis

28
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...
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Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

51
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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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

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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...
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Survey Safety01:28

Survey Safety

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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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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...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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...
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相关实验视频

Updated: Jul 12, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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基于热点的巡逻路线优化算法,用于智能警察.

Dongyeon Kim1, Yejin Kan2, YooJin Aum3

  • 1Department of Artificial Intelligence, Seoul, 04620, Korea.

Heliyon
|November 2, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个大数据模型,通过预测犯罪热点和优化巡逻路线来有效应对紧急情况. 其目的是通过数据驱动的犯罪预防策略来加强智能警察.

关键词:
遗传算法 遗传算法 遗传算法热点地区的警察执法.巡逻路线优化 巡逻路线优化警方科学 警方科学

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科学领域:

  • 犯罪学 犯罪学
  • 数据科学数据科学数据科学
  • 公共政策 公共政策

背景情况:

  • 智能警察,利用大数据分析,对于可持续的警察政策制定至关重要.
  • 尽管认识到智能警务的必要性,但韩国警方在将数据分析结果应用于实际犯罪预防政策方面面临着挑战.
  • 现有的应用程序专注于犯罪调查,例如案件联系和嫌疑人/犯罪地点预测,而不是政策实施.

研究的目的:

  • 提出一种新的大数据模型,以优化紧急呼叫响应.
  • 通过数据驱动的洞察力提高警察巡逻的效率.
  • 弥合数据分析与预防犯罪的实际警察政策之间的差距.

主要方法:

  • 通过分析社区环境数据和犯罪数据之间的关联来提取犯罪热点.
  • 开发路线优化算法,以确定最短的旅行时间到预测的犯罪地点.
  • 通过结合实时交通信息来评估巡逻路线的性能.

主要成果:

  • 通过数据分析识别预测的犯罪活动热点.
  • 为应急响应开发一个优化的路由算法.
  • 考虑到动态交通条件,评估巡逻路线效率.

结论:

  • 拟议的大数据模型为有效的应急响应和智能警察提供了一个框架.
  • 这种模式的适应可以显著提高现有的警察巡逻系统的有效性.
  • 这种数据应用模型有可能被警察部门广泛采用,以提高公共安全.