Getting Started for Data Scientists

Introduction

Welcome to the Geobase guide for data scientists. This section covers tools and techniques for analyzing geospatial data using Python and popular data science libraries.

What You’ll Learn

• Working with GeoPandas and Geobase
• Using GeoParquet for efficient data storage
• Geocoding and spatial analysis

Available Tools

1. GeoPandas Integration

   • Reading and writing spatial data
   • Coordinate system transformations
   • Spatial operations

2. GeoParquet Support

   • Efficient data storage
   • Fast data loading
   • Interoperability with other tools

3. Geocoding

   • Address to coordinate conversion
   • Reverse geocoding
   • Batch processing

Next Steps

• Learn about GeoPandas integration
• Explore GeoParquet usage
• Discover Geocoding capabilities

For practical examples and tutorials, check out our Jupyter notebooks in the documentation.