Visualizing and analyzing the impact of Chinese forests on the environment using a knowledge graph

Forests are often referred to as the "lungs of the Earth." In the past, driven by the pursuit of profits, humans extensively deforested, leading to significant damage to China's forest resources. This deforestation has caused a series of issues such as resource scarcity, land desertification, and poor air quality. By collecting data from the Seventh, Eighth, and Ninth National Forest Resources Inventory Reports, as well as data on climate change, natural disasters, and species richness across different regions in the past 20 years, this study aims to conduct a knowledge graph analysis and data visualization using Python and Finebi. The goal is to analyze and identify the direct and indirect factors that influence changes in China's forests, as well as the environmental and economic impacts of these changes. Through the analysis of relevant data and literature review, this paper provides recommendations for sustainable forest development in China, aiming to raise awareness of environmental degradation.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711141
Primary Topic
Data Visualization and Analytics
Type
article
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article

Visualizing and analyzing the impact of Chinese forests on the environment using a knowledge graph

Jinmei Shi, Xinyuan Wen, Shasha Chen
Data Visualization and Analytics
article

Visualizing and analyzing the impact of Chinese forests on the environment using a knowledge graph

Jinmei Shi, Xinyuan Wen, Shasha Chen
article en

Abstract

Forests are often referred to as the "lungs of the Earth." In the past, driven by the pursuit of profits, humans extensively deforested, leading to significant damage to China's forest resources. This deforestation has caused a series of issues such as resource scarcity, land desertification, and poor air quality. By collecting data from the Seventh, Eighth, and Ninth National Forest Resources Inventory Reports, as well as data on climate change, natural disasters, and species richness across different regions in the past 20 years, this study aims to conduct a knowledge graph analysis and data visualization using Python and Finebi. The goal is to analyze and identify the direct and indirect factors that influence changes in China's forests, as well as the environmental and economic impacts of these changes. Through the analysis of relevant data and literature review, this paper provides recommendations for sustainable forest development in China, aiming to raise awareness of environmental degradation.

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