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Introduction to Geospatial Data and Geopandas
Course Introduction
Overview of Geospatial Data
Vectorial Data
Raster Data
Projections and Coordinate Reference Systems (CRS)
Python Libraries for Geospatial Data
From pandas to GeoPandas
Quiz: Basic Concepts
Importing and Exporting Geospatial Data
Importing Geospatial Data
Quick Data Visualization
Reading In-memory Geometry
Exporting Geospatial Data in Various Data Formats
Exercise: Basic I/O
Solution: Basic I/O
GeoDataFrame Filtering
DataFrame Operations
Exercise: DataFrame Operations
Solution: DataFrame Operations
Tabular Coordinates: GeoSeries and Geometry Collections
Examples: Creating Geometries
Geoprocessing with Geopandas
Spatial-Specific Attributes
Clipping and Merging
Exercise: Clipping and Merging
Solution: Clipping and Merging
Spatial Aggregation
Constructive Methods: Centroid, Buffer, and Simplify
Constructive Methods: Envelope and Convex Hull
Exercise: Aggregation and Constructive Methods
Solution: Aggregation and Constructive Methods
Affine Transformations
Comparing Datasets with Overlays
Overlays in Practice
Exercise: Overlays
Solution: Overlays
Proximity Analysis
Sampling Points from Raster Data
Exercise: Proximity and Sampling
Solution: Proximity and Sampling
Spatial Data Visualization
Introduction to Map Plotting with GeoPandas
Choropleth Maps
Layered Maps
Background Maps with Contextily
Advanced Plotting with Geoplot
Interactive Maps with Folium
Mini Project
Transportation Planning
Conclusion
Wrap Up and Next Steps
Appendix
Plot GeoJSON Function
Project
Exploring Geospatial Data Using GeoPandas, Geoplot and Contextily
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Using GeoPandas for Geospatial Analysis in Python
Plot GeoJSON Function
Use this function to render a GeoJSON in SVG and HTML output.
We'll cover the following...
Plot GeoJSON
Plot GeoJSON
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