Michael Nothnagel
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Articles (12)
SMapper: visualizing spatial prevalence data of all types, including sparse and incomplete datasets
Motivation We introduce SMapper, a novel web and software tool for visualizing spatial prevalence data of all types including those suffering from incomplete geographic coverage and insufficient sample sizes. We demonstrate the benefits of our tool in overcoming interpretational issues with existing tools caused by such data limitations. We exemplify the use of SMapper by applications to human genotype and phenotype data relevant in an epidemiological, anthropological and forensic context. Availability and implementation A web implementation is available at https://rhodos.ccg.uni-koeln.de/smapper/. A stand-alone version, released under the GNU General Public License version 3 as published by the Free Software Foundation, is available from https://rhodos.ccg.uni-koeln.de/smapper/software-download.php as a Singularity container (https://docs.sylabs.io/guides/latest/user-guide/index.html) and a native Linux Python installation.
Year:
2023
Collaborators (5)
Wojciech Branicki
Jagiellonian University
Stephanie Zellers
University of Helsinki
Ewelina Pośpiech
Assistant Professor
Jagiellonian University
Ahmad Vaez
University of Groningen
Maria Seidel
Head of department
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