collaborators

5 papers

cs.CY2026

Spatially conditioned dynamics between population and built form

Anna Brazdova, Martin Fleischmann

Understanding the relationship between population and the built environment is essential for addressing socio-spatial inequalities. While researchers have long theorized these dyna…

cs.CV2026

Predicting Local Climate Zones using Urban Morphometrics and Satellite Imagery

Hugo Majer, Martin Fleischmann

The Local Climate Zone (LCZ) framework is commonly employed to represent urban form in morphological analyses despite its mapping predominantly relies on satellite imagery. Urban m…

cs.CY2025

The Hierarchical Morphotope Classification: A Theory-Driven Framework for Large-Scale Analysis of Built Form

Martin Fleischmann, Krasen Samardzhiev, Anna Brázdová +2

Built environment, formed of a plethora of patterns of building, streets, and plots, has a profound impact on how cities are perceived and function. While various methods exist to…

cs.CY2025

Adaptive continuity-preserving simplification of street networks

Martin Fleischmann, Anastassia Vybornova, James D. Gaboardi +2

Street network data is widely used to study human-based activities and urban structure. Often, these data are geared towards transportation applications, which require highly granu…

stat.CO2025

Spatial Data Science Languages: commonalities and needs

Edzer Pebesma, Martin Fleischmann, Josiah Parry +8

Recent workshops brought together several developers, educators and users of software packages extending popular languages for spatial data handling, with a primary focus on R, Pyt…