GeoPandas in Action (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"GeoPandas in Action" "GeoPandas in Action" is a comprehensive exploration of GeoPandas, the premier Python library for geospatial data science and analysis. Beginning with a solid grounding in the architectural foundations of GeoPandas, this book meticulously examines its data models and integration with the wider Python geospatial ecosystem-encompassing essentials like Pandas, Shapely, Fiona, and PyProj. Clear discussions of coordinate systems, geometry types, and interoperability standards ensure readers grasp not just the "how" but the "why" behind best practices in geospatial programming....
"GeoPandas in Action"
"GeoPandas in Action" is a comprehensive exploration of GeoPandas, the premier Python library for geospatial data science and analysis. Beginning with a solid grounding in the architectural foundations of GeoPandas, this book meticulously examines its data models and integration with the wider Python geospatial ecosystem-encompassing essentials like Pandas, Shapely, Fiona, and PyProj. Clear discussions of coordinate systems, geometry types, and interoperability standards ensure readers grasp not just the "how" but the "why" behind best practices in geospatial programming.
Building upon this solid base, the book delves into advanced input/output operations, spatial algorithms, and state-of-the-art analysis techniques. Readers will learn to handle massive and complex geospatial datasets efficiently, perform high-performance spatial joins, overlays, and morphological operations, and unlock advanced analytics such as clustering, spatial statistics, network analysis, and multi-temporal data modeling. Throughout, practical guidance is paired with cutting-edge topics like cloud-native geospatial workflows, distributed processing with Dask, seamless integration with desktop GIS tools, and large-scale ETL pipeline automation.
The final sections equip users with the skills needed for professional-grade geospatial software development: robust testing and validation strategies, CI/CD for spatial data infrastructures, and rigorous metadata and audit trail management. Looking forward, "GeoPandas in Action" surveys emerging trends in multidimensional and spatio-temporal analytics, geospatial privacy, edge and serverless computing, and plugin extensibility. Whether you are a software engineer, data scientist, or GIS analyst, this book is your authoritative guide to building scalable, reproducible, and innovative geospatial solutions with GeoPandas.
"GeoPandas in Action" is a comprehensive exploration of GeoPandas, the premier Python library for geospatial data science and analysis. Beginning with a solid grounding in the architectural foundations of GeoPandas, this book meticulously examines its data models and integration with the wider Python geospatial ecosystem-encompassing essentials like Pandas, Shapely, Fiona, and PyProj. Clear discussions of coordinate systems, geometry types, and interoperability standards ensure readers grasp not just the "how" but the "why" behind best practices in geospatial programming.
Building upon this solid base, the book delves into advanced input/output operations, spatial algorithms, and state-of-the-art analysis techniques. Readers will learn to handle massive and complex geospatial datasets efficiently, perform high-performance spatial joins, overlays, and morphological operations, and unlock advanced analytics such as clustering, spatial statistics, network analysis, and multi-temporal data modeling. Throughout, practical guidance is paired with cutting-edge topics like cloud-native geospatial workflows, distributed processing with Dask, seamless integration with desktop GIS tools, and large-scale ETL pipeline automation.
The final sections equip users with the skills needed for professional-grade geospatial software development: robust testing and validation strategies, CI/CD for spatial data infrastructures, and rigorous metadata and audit trail management. Looking forward, "GeoPandas in Action" surveys emerging trends in multidimensional and spatio-temporal analytics, geospatial privacy, edge and serverless computing, and plugin extensibility. Whether you are a software engineer, data scientist, or GIS analyst, this book is your authoritative guide to building scalable, reproducible, and innovative geospatial solutions with GeoPandas.
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