Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
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...
27
Hybrid Zones02:29

Hybrid Zones

16.9K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
16.9K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

41
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
41
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

49
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
49
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

47
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...
47
Levels of Use of a GIS01:29

Levels of Use of a GIS

46
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...
46

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Optimized spatial information for 1990, 2000, and 2010 U.S. census microdata.

Scientific data·2024
Same author

Day time, night time, over time: geographic and temporal uncertainty when linking event and contextual data.

Environmental health : a global access science source·2021
Same journal

Performance Management Counters from Live 5G, 4G and 2G Radio Access Network.

Scientific data·2026
Same journal

Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon.

Scientific data·2026
Same journal

A chromosome-level reference genome assembly of the King Ratsnake (Elaphe carinata).

Scientific data·2026
Same journal

A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults.

Scientific data·2026
Same journal

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same journal

A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.

Scientific data·2026
查看所有相关文章

相关实验视频

Updated: Jun 14, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K

基于2020年的数据,美国的新通勤区划分.

Christopher S Fowler1

  • 1Department of Geography Penn State University, University Park, USA. csfowler@psu.edu.

Scientific data
|September 6, 2024
PubMed
概括
此摘要是机器生成的。

美国的新通勤区是使用2020年数据创建的,更新了以前的定义. 这项研究解释了大流行时期的工作和居住模式的转变,以提高准确性.

更多相关视频

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

相关实验视频

Last Updated: Jun 14, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

科学领域:

  • 区域经济学 区域经济学
  • 经济地理 经济地理
  • 城市研究 城市研究

背景情况:

  • 起初在20世纪80年代末开发的通勤区,在美国各地划分了功能性经济区域.
  • 这些区域将农村地区与最近的经济中心联系起来,有助于区域分析.
  • 以前的划分是基于较旧的数据,并没有考虑到最近的社会变化.

研究的目的:

  • 使用2020年的数据和地理位置,为美国创建更新的通勤区.
  • 纳入质量测量,以比较当前的划分与历史数据.
  • 解决工作和居住模式的变化,特别是COVID-19后,对区域定义的影响.

主要方法:

  • 在县到县通勤数据的比例流量矩阵上利用层次聚类.
  • 在可能的情况下,复制了早期通勤区划分的方法.
  • 美国2020年合并的地理和通勤流量数据.

主要成果:

  • 基于2020年的数据,成功生成了新的通勤区定义.
  • 引入了质量措施,以提高不同时期的可比性.
  • 提供更新的功能经济区域划分,反映当代通勤模式.

结论:

  • 新的通勤区可以更准确地代表美国的经济地理.
  • 这些更新的区域对于分析区域经济趋势在最近社会变化的背景下至关重要.
  • 该方法确保一致性,同时适应不断变化的工作和生活安排.