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

Manipulation and Analysis01:21

Manipulation and Analysis

26
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...
26
Levels of Use of a GIS01:29

Levels of Use of a GIS

52
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...
52
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
Ecological Niches02:02

Ecological Niches

23.6K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
23.6K

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

TikTok as a platform for visual health communication: designing and evaluating short-form videos.

Journal of visual communication in medicine·2026
Same author

Correction: Sustainable visions: Unsupervised machine learning insights on global development goals.

PloS one·2025
Same author

Sustainable visions: unsupervised machine learning insights on global development goals.

PloS one·2025
Same author

Artificial neural network for evaluating sleep spindles and slow waves after transcranial magnetic stimulation in a child with autism.

Neurocase·2024
Same author

Self-Organizing Maps to Multidimensionally Characterize Physical Profiles in Older Adults.

International journal of environmental research and public health·2022
Same author

Engineered Mycobacterium tuberculosis antigen assembly into core-shell nanobeads for diagnosis of tuberculosis.

Nanomedicine : nanotechnology, biology, and medicine·2021

相关实验视频

Updated: Jul 4, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.4K

通过人工智能和图书识别地图探索生态技术的研究.

Ricardo Ruiz-Sánchez1,2, Ricardo Arencibia-Jorge2, Julia Tagüeña2,3

  • 1Unidad Profesional Interdisciplinaria de Ingeniería Palenque (UPIIP), Instituto Politécnico Nacional, Palenque, Chiapas, CP 29960, Mexico.

Environmental science and ecotechnology
|February 8, 2024
PubMed
概括

生态技术是可持续战略的关键,但研究不足. 这项研究使用机器学习和文献计量来绘制现场地图,确定关键主题,并突出领先的国家,将它们与联合国可持续发展目标联系起来.

关键词:
图书统计学 图书统计学生态技术 生态技术网络分析 网络分析SOM神经网络是一个神经网络.可持续发展目标 可持续发展目标

更多相关视频

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
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:49

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

167

相关实验视频

Last Updated: Jul 4, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.4K
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
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:49

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

167

科学领域:

  • 环境科学 环境科学
  • 可持续性研究 可持续性研究
  • 技术与创新 技术与创新

背景情况:

  • 生态技术对于可持续的社会环境战略至关重要.
  • 生态技术领域尚未完全探索或理解.
  • 需要绘制当前的研究格局,并确定关键参与者.

研究的目的:

  • 界定生态技术研究的范围和景观.
  • 阐明生态技术中的关键研究主题,挑战和机会.
  • 确定领先的国家,并将生态技术的进步与联合国2030年可持续发展目标联系起来.

主要方法:

  • 利用机器学习算法进行数据分析.
  • 采用文献计量分析来评估研究趋势和影响.
  • 综合发现,绘制生态技术领域及其全球地位的地图.

主要成果:

  • 确定了生态技术的关键研究主题和重大挑战.
  • 突出了领先的先国家和机构,领导生态技术研究.
  • 建立了生态技术进步与联合国具体可持续发展目标之间的明确联系.

结论:

  • 生态技术研究是实现可持续发展的快速发展和关键领域.
  • 该研究为未来的生态技术研究提供了全面的概述和路线图.
  • 调查结果强调了推动生态技术促进可持续发展的社会影响和全球重要性.