Introduction
Analyzing geospatial data
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What you should know
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1. Theoretical Foundations
What is geospatial data?
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What is location intelligence?
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Geospatial data sources
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Geospatial data use cases
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2. Geometries and GeoDataFrames
The basics of GeoPandas
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Onboarding to GeoPandas
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What are geometries?
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Basic geometries
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Geometry operations
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3. GeoPandas Deep Dive
Creating your first GeoDataFrame from scratch
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Simple functions and computations
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Visualizing synthetic data with GeoPandas
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Visualizing sample data with GeoPandas
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Map projections
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4. Explorative Spatial Data Analysis
Acquire open geospatial data about New York City
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Explore the administrative boundaries of the NYC neighborhoods
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Combine and compare spatial datasets
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Enrich administrative boundaries using population information
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Computing local statistics
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Turning tabular data into geospatial
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Urban greenery assessment
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Conclusion
Continuing on with geospatial data science
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Ex_Files_Geospatial_Data_Analytics.zip
(50.6 MB)