Flowmapper, a simple tool for visualizing geographic flows in R

Flowmapper, a simple tool for visualizing geographic flows in R

April 12, 2024

One of our PhD students, Johannes Mast, just released a new R package called “flowmapper” which he developed and used within his PhD.

Flowmapper (https://github.com/JohMast/flowmapper) is a new R package that allows users to create beautiful, informative maps of geographic movement. Inspired by the interactive flowmap.gl (https://flowmap.gl/), we designed flowmapper specifically to allow R users the creation of static and customizable scientific graphics. With flowmapper, users can easily visualize flows between geographic locations and customize the flowmaps by using the clear syntax and powerful tools of the ggplot ecosystem.

You can get started with flowmapper today and explore and visualize the patterns in geographic data! Download the package from GitHub and let us know what you think!

https://github.com/JohMast/flowmapper

you may also like:

A Glimpse into Our Research: Data on Display in the Foyer

A Glimpse into Our Research: Data on Display in the Foyer

Stepping into the foyer, visitors are now greeted by large, striking images that tell the story of our research through data. Each visual represents a unique scientific perspective – from the Arctic to the cultivated landscapes of Bavaria, and from forest canopies to...

Successful MSc defense by Sonja Maas

Successful MSc defense by Sonja Maas

Big congratulations to Sonja Maas, who successfully defended her Master thesis today on the highly relevant and increasingly pressing topic: LiDAR-Based Acquisition Strategies for Forest Management Planning in a Mature Beech Stand Supervised by Dr. Julian Fäth and...

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Visit at the Institute for Geoinformatics (IFGI) at University of Münster

Two days ago, our PostDoc Dr. Jakob Schwalb-Willmann visited the Institute for Geoinformatics at University of Münster to give a talk at IFGI’s GI Forum titled “Can animals be used to classify land use? Employing movement-tracked animals as environmental informants using deep learning”.

Privacy Policy

Lehrstuhl für Fernerkundung & Lehrstuhl für Urbane Fernerkundung

Erdbeobachtung an der Universität Würzburg