Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

297
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...
297
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

103
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...
103
Levels of Use of a GIS01:29

Levels of Use of a GIS

139
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...
139
The Carbon Cycle01:14

The Carbon Cycle

41.9K
Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.
41.9K
Cluster Sampling Method01:20

Cluster Sampling Method

13.2K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.2K
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

3.6K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
3.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Developing adverse outcome pathways underlying CAR activation-induced liver injuries using HepG2 spheroid model.

Archives of toxicology·2026
Same author

Loss of TFAM accelerates pentose phosphate pathway by unleashing G6PD oligomerization to drive hepatocarcinogenesis.

Cancer letters·2026
Same author

Fatty acids metabolism in ozone-induced pulmonary inflammatory injury: Evidence, mechanism and prevention.

The Science of the total environment·2024
Same author

CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data.

Scientific data·2024
Same author

Comprehensive evaluation of treating drinking water for laying hens using slightly acidic electrolyzed water.

Poultry science·2023
Same author

Lung proteomics combined with metabolomics reveals molecular characteristics of inflammation-related lung tumorigenesis induced by B(a)P and LPS.

Environmental toxicology·2023

Related Experiment Video

Updated: Oct 20, 2025

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.1K

Spatial allocation of anthropogenic carbon dioxide emission statistics data fusing multi-source data based on

Jianbin Tao1, XiangBing Kong2

  • 1Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, NO. 152 Luoyu Road, Wuhan, 430079, China.

Scientific Reports
|September 14, 2021
PubMed
Summary

This study introduces a new method for spatial allocation of anthropogenic carbon dioxide emissions (ACDE) using a Bayesian Network. Integrating land cover and vegetation data significantly improved ACDE mapping accuracy for China.

More Related Videos

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
10:29

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers

Published on: March 21, 2016

12.5K
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.1K

Related Experiment Videos

Last Updated: Oct 20, 2025

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.1K
Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
10:29

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers

Published on: March 21, 2016

12.5K
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.1K

Area of Science:

  • Geoscience
  • Environmental Science
  • Climate Change Research

Background:

  • Gridded social-economic data is crucial for geoscience and multidisciplinary applications.
  • Accurate spatial allocation of carbon dioxide statistics is vital for global climate change mitigation and emissions responsibility.
  • Non-point source anthropogenic carbon dioxide emissions (ACDE) require sophisticated accounting methods.

Purpose of the Study:

  • To introduce a novel spatial allocation method for non-point source ACDE using a Bayesian Network (BN).
  • To integrate multi-source data, including land cover and vegetation, as prior knowledge to enhance ACDE mapping.
  • To generate and validate a high-resolution gridded ACDE map for China.

Main Methods:

  • Developed a Bayesian Network (BN) model for spatial allocation of ACDE.
  • Fused multi-source data: Defense Meteorological Satellite Program (DMSP), population density (PD), Gross Domestic Production (GDP), land cover, and vegetation data.
  • Utilized land cover and vegetation data as prior knowledge to optimize model fitting, based on their correlation with human activities.

Main Results:

  • Generated a 1 km gridded ACDE map integrating both point and non-point source emissions.
  • The BN model demonstrated high accuracy in predicting ACDE.
  • Significant accuracy improvements were observed by incorporating land cover and vegetation data as prior knowledge.

Conclusions:

  • The developed method offers a novel approach for ACDE accounting in China.
  • The model successfully downscales statistical data to a national scale.
  • Fusing land cover and vegetation data as prior knowledge enhances the precision of ACDE spatial allocation.