Martin Fleischmann
I am a researcher in urban morphology and geographic data science focusing on quantitative analysis and classification of urban form, remote sensing, and AI. I am also the author of momepy, the open source urban morphology measuring toolkit for Python, and a member of the development teams of GeoPandas, the open source Python package for geographic data, and PySAL, the Python library for spatial analysis.
Talks
R Spatial and GeoPython, a happy marriage
We discuss differences and correspondences between the R and Python spatial software ecosystems, upstream libraries, and efforts and opportunities to further mutually benefit each other.
Vector data cubes as a bridge between raster and vector worlds
This talk introduces the concept of vector data cubes - multi-dimensional arrays where at least one dimension is composed of vector geometries - and its implementation in Python within a new library Xvec, built on top of Xarray, Shapely 2.0 and GeoPandas.
Writing an efficient code for GeoPandas and Shapely in 2023
With the release of Shapely 2.0, the GeoPandas-based code that have been optimised years ago may no longer provide the best performance. This workshop will show you how to change that and write efficient and convenient GeoPandas code that uses the benefits of the latest developments in the Python geospatial ecosystem.