iamtekson/geospatial-machine-learning
Machine learning in geospatial data
This helps you understand and predict patterns in location-based information. It takes raw geospatial datasets, like satellite imagery or mapping data, and helps you apply machine learning techniques to reveal insights or make forecasts. Anyone working with geographical data, such as urban planners, environmental scientists, or real estate analysts, would find this useful.
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Use this if you need to analyze spatial relationships, classify land use, or predict future changes using maps and location-aware data.
Not ideal if your data lacks any geographical component or if you primarily need standard statistical analysis without machine learning.
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Last pushed
Feb 05, 2024
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