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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

127
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
127
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

46
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...
46
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

170
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
170
Levels of Use of a GIS01:29

Levels of Use of a GIS

51
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...
51
Prediction Intervals01:03

Prediction Intervals

2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.3K
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

78
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...
78

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

Chronic Expanding Hematoma in the Liver Presenting with Intraperitoneal Hemorrhage: A Case Report and Literature Review.

Surgical case reports·2026
Same author

Feasibility and Implementation of Remote Surgical Telementoring in Rural Hospitals: A Multi-Institutional Case Series.

Asian journal of endoscopic surgery·2025
Same author

Neuromedin U Deficiency Disrupts Daily Testosterone Fluctuation and Reduces Wheel-Running Activity in Rats.

Endocrinology·2025
Same author

GIATAR: a Spatio-temporal Dataset of Global Invasive and Alien Species and their Traits.

Scientific data·2024
Same author

Sperm-specific histone H1 in highly condensed sperm nucleus of Sargassum horneri.

Scientific reports·2024
Same author

Colloid Carcinoma Arising in an Intestinal-Type Intraductal Papillary Mucinous Neoplasm with High-Grade Dysplasia Appearing as Signet-Ring Cells of the Pancreas by Serial Pancreatic Juice Aspiration Cytology: A Case Report.

Diagnostics (Basel, Switzerland)·2023

相关实验视频

Updated: Jul 1, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

萨法里斯:一种用于害虫预测系统的空间分析框架.

Yu Takeuchi1, Amber Tripodi2, Kellyn Montgomery3

  • 1Center for Integrated Pest Management, North Carolina State University, Raleigh, NC, United States.

Frontiers in insect science
|March 12, 2024
PubMed
概括

一个新的框架,SAFARIS,有助于预测侵袭性害虫和影响美国森林和农业的疾病的风险. 该系统有助于美国农业部保护自然资源和农业健康免受生物威胁.

关键词:
非本地害虫的非本地害虫.木布虫虫木布虫 木布虫 木虫植物卫生管理 植物卫生管理预测建模预测建模空间分析框架 空间分析框架绵绵的蝶 绵绵的蝶

更多相关视频

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

8.5K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.7K

相关实验视频

Last Updated: Jul 1, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

8.5K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.7K

科学领域:

  • 农业科学 农业科学
  • 林业林业 林业 林业 林业
  • 生态生态学 生态生态学
  • 风险评估 风险评估 风险评估

背景情况:

  • 非本土的害虫和疾病威胁到美国的森林和农业,造成严重的经济和环境损害.
  • 美国农业部的APHIS PPQ旨在防止入侵物种的引入和传播.
  • 评估每个害虫和疾病所带来的独特风险是一个复杂的挑战.

研究的目的:

  • 引入高级风险信息系统 (SAFARIS) 的空间分析框架.
  • 为开发预测性害虫和疾病风险模型提供一个用户友好的,集成的系统.
  • 为了支持USDAAPHIS PPQ在入侵物种管理方面的使命.

主要方法:

  • 萨法里斯集成了害虫生物学,气候和非气候数据驱动器.
  • 该框架包括用于现象学预测和传播预测的工具.
  • 预测模型是在一个无的,基于Web的环境中开发的.

主要成果:

  • 萨法里斯为分析害虫和疾病风险提供了可访问和可定制的工具.
  • 基于气候的分析工具为决定合适的建立区域和最佳调查时间提供了信息.
  • 两个用例证明了SAFARIS对PPQ的运营努力和快速响应的支持.

结论:

  • 萨法里斯提高了美国农业部应对害虫和疾病威胁的能力.
  • 该框架的灵活,公开可用的设计允许更广泛的风险建模应用.
  • 萨法里斯有助于保护美国的农业和自然资源免受入侵物种的侵害.