大数据对生态环境的影响
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Data Type | Source | Frequency | Scope | Accessibility |
---|---|---|---|---|
Air Quality | World Air Quality Index Project | Hourly | Global | Publicly Accessible |
Temperature | Various Meteorological Agencies (e.g., NOAA, ECMWF) | Hourly to Daily | Global | Publicly Accessible |
Water Quality | Global Water Quality Monitoring Network | Varies (often monthly) | Global | Accessible, but may require permissions |
Land Use | United Nations Food and Agriculture Organization (FAO) | Yearly | Global | Publicly Accessible |
Deforestation Rates | Global Forest Watch | Yearly | Global | Publicly Accessible |
Carbon Emissions | Various sources including Carbon Disclosure Project, Global Carbon Atlas | Yearly | Global | Publicly Accessible |
Population Density | United Nations Department of Economic and Social Affairs (UN DESA) | Varies (often yearly) | Global | Publicly Accessible |
Global environmental data is crucial for understanding and addressing various ecological challenges. This comparison table provides insights into different types of environmental data, their sources, frequency of updates, geographical scope, and accessibility.