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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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...
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Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
65
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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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...
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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 8, 2025

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
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网络基于科学的城市预测仪表板

Jiaxin Du1, Xinyue Ye1, Galen Newman1

  • 1Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA.

ARIC 2022 : proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2022) : 1st Nov 2022, Seattle, WA, USA. ACM SIGSPATIAL International Workshop on Advances in Resilient and In...
|December 15, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的城市预测仪表板,使用网络科学来预测人们在景点之间 (POI) 的移动情况. 它有助于理解城市动态,并为包括灾害在内的各种场景做出计划.

关键词:
仪表板上的仪表板事件 事件 事件网络科学 网络科学恢复力 恢复力城市预报 城市预报

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科学领域:

  • 城市科学 城市科学
  • 网络科学 网络科学
  • 计算社会科学 计算社会科学

背景情况:

  • 城市环境是复杂的,动态的系统.
  • 了解城市动态需要预测人们在感兴趣的地方 (POI) 之间的移动模式.
  • 由于城市系统的相互依赖性和危机期间与正常时期不同的模式,预测这些运动具有挑战性.

研究的目的:

  • 开发一个基于科学的网络城市预测仪表板.
  • 监测城市事件,并确定城市动态的相互依赖性.
  • 通过建模网络流和相互依存关系来预测城市动态.

主要方法:

  • 利用网络科学原理来建模城市动态.
  • 开发了一个深度学习模型,将POI之间的网络动态纳入其中.
  • 创建了一个城市预报仪表板,用于监测和预测.

主要成果:

  • 仪表板有效地监控城市事件,并确定关键的相互依存关系.
  • 深度学习模型从网络角度成功预测城市动态.
  • 展示了整合网络科学和城市科学的相互益处.

结论:

  • 需要一个统一的框架来建模城市流动和网络.
  • 开发的仪表板为了解和预测城市动态提供了强大的工具.
  • 网络科学为城市规划和灾害管理提供了宝贵的见解.