2026-06-30T03:51:10Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:76692026-06-10T10:21:31ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.6.2022.003 Ziebarth, Malte Jörn Malte Jörn Ziebarth 0000-0002-5190-4478 GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam University, Potsdam, Germany GFZ Data Services 2022 cartography python EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > GEOGRAPHIC INFORMATION SYSTEMS > DESKTOP GEOGRAPHIC INFORMATION SYSTEMS EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS information > information system > geographic information system science > geography > cartography technology > information technology > multimedia technology Ziebarth, Malte Jörn Malte Jörn Ziebarth 0000-0002-5190-4478 GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam University, Potsdam, Germany Ziebarth, Malte Jörn Malte Jörn Ziebarth 0000-0002-5190-4478 GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam University, Potsdam, Germany Ziebarth, Malte Jörn Malte Jörn Ziebarth 0000-0002-5190-4478 GFZ German Research Centre for Geosciences, Potsdam, Germany Potsdam University, Potsdam, Germany Ziebarth, Malte Jörn GFZ German Research Centre for Geosciences, Potsdam, Germany 2022-08-06 Software https://github.com/mjziebarth/FlotteKarte https://mjziebarth.github.io/FlotteKarte/index.html European Union Public Licence 1.2 (C) 2022 the authors and Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences FlotteKarte is a low-overhead plotting routine using Matplotlib, NumPy, and PyPROJ under the hood. The conceptual idea behind this package is that a map is fully defined through the 2D cartesian coordinates that result from applying the map projection to different geographical data. For displaying data on a two-dimensional canvas, Matplotlib is a powerful tool. Conversion between geographic and projected coordinates can easily be done using PyProj. The gap between these two powerful tools and a polished map lies in potential difficulties when translating spherical line topology to 2D cartesian space, and by introducing typical map decorations such as grids or ticks. FlotteKarte aims to fill this gap with a simple interface.

FlotteKarte's philosophy is to work completely within the 2D projected coordinates, that is, very close to the projected data. If projected coordinates of data can be obtained, the data can be drawn directly on the underlying Matplotlib Axes. The Map class can then be used to add typical map decoration to that axes using information that it derives from the numerics of the PROJ projection.