Martin Fleischmann
I am a researcher in urban morphology and geographic data science focusing on quantitative analysis and classification of cities, remote sensing, and bits of AI. While not doing the research, I write open source software, promote open science and help others with their data.
I am an author or a maintainer of a range of open scientific software, including GeoPandas, the open source Python package for geographic data handling, momepy, the urban morphology measuring toolkit for Python, Xvec, the tool for vector data cubes, and PySAL, the Python library for spatial analysis.
Session
GeoPandas is one of the core packages in the Python ecosystem to work with geospatial vector data. By combining the power of several open source geo tools (GEOS/Shapely, GDAL/pyogrio, PROJ/pyproj) and extending the pandas data analysis library to work with geographic objects, it is designed to make working with geospatial data in Python easier. Recently, the development that started more than ten years ago resulted in version 1.0.
This talk will give an overview of what is new in GeoPandas 1.0 and of recent developments in the broader ecosystem of packages on which GeoPandas depends, or that extend GeoPandas. We will highlight some changes and new features in GeoPandas 1.0, such as the new default IO based on pyogrio, closer integration of Shapely 2.0 leading to a range of new methods, and the removal of other geometry engines and consequences of that. We will look at the journey of the GeoPandas from its start at SciPy 2013 to the current 1.0 and discuss the plans moving forward, covering support of spherical geometries, native support for GeoArrow, and more. You will get a sense of what is coming in future, where to help the development and how to prepare your code for upcoming changes.