How can data analytics improve environmental decision-making?
Data analytics helps by providing insights from large datasets, enabling better predictions and informed decisions.
Can you give an example of how it's used in real life?
Sure! For instance, cities use data analytics to monitor air quality and implement policies to reduce pollution.
What tools are commonly used for environmental data analytics?
Common tools include GIS software, R, Python, and specialized platforms like ArcGIS for spatial analysis.
Are there any challenges in using data analytics for environmental issues?
Yes, challenges include data quality, integration from various sources, and the need for skilled analysts.
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