Cédric Scherer

Data Visualization & Computational Ecology

About Me

I am a graduated computational ecologist by training and an independent data visualization specialist/designer by heart with extensive hypothesis-driven research experience and strong skills in data wrangling, statistical analysis, model development, and data visualization.

I have created visualizations across all disciplines, purposes, and styles and regularly teach data visualization principles as well as basic and advanced ggplot2 techniques.

Data Visualization

I have been working as an independent data visualization specialist since the beginning of 2020. Since then I have worked for a large number of clients as a designer, consultant, analyst, and workshop instructor in the field of data visualization and reproducible analysis. I am constantly strengthening my skills in design and have built a diverse portfolio covering a wide range of topics, chart types, purposes, and tools by contributing to self-led personal projects and numerous data visualization challenges such as TidyTuesday, #30DayMapChallenge, and #30DayChartChallenge.

    →  Have a look at my portfolio
    →  Watch my most-recent talks

Computational Ecology

I am working as a scientific researcher (PostDoc) in the Department “Ecological Dynamics” at the Leibniz Institute for Zoo and Wildlife Research (IZW) in Berlin, Germany. As a computational scientist, I apply analytic and mechanistic modeling approaches to answer questions related to the movement ecology of animals and the dynamics of populations, communities and diseases in space and time. In 2019, I was awarded a Ph.D. degree in Ecology (Dr. rer. nat.) at the University of Potsdam as part of the BioMove research training group.

    →  Read my publications
    →  Learn more about my research

My favorite tool for all data-related tasks is R, an open source and highly extensible language for statistical computing and graphics techniques. To visualize data I mainly utilize the package {ggplot2} from the {tidyverse} package collection including many more that I use on a daily basis for all kinds of data preparation and analysis. More recently, I find myself enjoying a lot using other, non-programing design and charting tools such as Figma, DataWrapper, and Flourish.


Dr. rer. nat. Cédric Scherer

Self-Employed Data Visualization Specialist
Information Design • Cartography • Data Analysis • Workshops

Researcher at Leibniz Institute for Zoo and Wildlife Research (IZW)
Movement Ecology • Eco-Epidemiology • Population & Community Dynamics
Department “Ecological Dynamics”
Alfred-Kowalke-Straße 17, 10315 Berlin, Germany

Curriculum Vitae

Education & Professional Experience

Selected Publications

  • C Scherer, V Radchuk, M Franz, H.-H Thulke, M Lange, V Grimm & S Kramer-Schadt (2020) Moving infections: Individual movement decisions drive disease persistence in spatially structured landscapes. Oikos 129 (5):651–667.

  • C Scherer, V Radchuk, C Staubach, S Müller, N Blaum, H-H Thulke & S Kramer-Schadt (2019) Seasonal host life-history processes fuel disease dynamics at different spatial scales. Journal of Animal Ecology 88 (11):1639–1824.

  • V Radchuk, F De Laender, J Sarmento Cabral, I Boulangeat, M Crawford, F Bohn, J De Raedt, C Scherer, J-C Svenning, K Thonicke, F Schurr, V Grimm & S Kramer-Schadt (2019) The dimensionality of stability depends on disturbance type. Ecology Letters 22 (4):647–684.

  • M Sciaini, M Fritsch, C Scherer & CE Simpkins (2018) NLMR and landscapetools: An integrated environment for simulating and modifying neutral landscape models in R. Methods in Ecology and Evolution 9 (11):2240–2248.

Full List of Publications

Selected Presentations

Full List of Presentations

Selected Workshops & Trainings

Full List of Workshops and Trainings

Awards & Honors


  • Languages: German (native), English (fluent)
  • Programming: R, CSS, html, SQL/SQLite, NetLogo, Python, C++
  • Statistics: R (e.g. lm4, glmmTMB, CARBayesST, adehabitat, broom, tidytext, tidymodels), SPSS, Excel
  • GIS: R (e.g. sf, stars, terra, raster, rgdal, rgeos, sp), QGIS, GRASS, ArcGIS
  • Visualization: R (e.g. ggplot2, Shiny, plotly, echarts4r, leaflet, tmap, gganimate, highcharter), Figma, DataWrapper, Flourish, RAWgraphs, CartoDB
  • Markup: Markdown, R (e.g. Rmarkdown, blogdown, bookdown, xaringan), LaTeX

Memberships & Services

  • Peer Review: CRC Press, Journal of Animal Ecology, Oikos, BMC Ecology, Ecology and Evolution, Landscape Ecology, Ecological Modelling
  • Functional Roles: Speaker of the SIG “Young Modellers in Ecology (YoMos)” (2015–2019); spokesperson in the research training group “BioMove” (2015–2018); part of the MCED award committee (2015–2019)
  • Memberships: CorrelAid volunteer (since 2019); Data Visualization Society (since 2019); “R for Data Science” Online Learning Community (since 2018)
  • Conference Organisation: 11th–14th Workshop of the Young Modellers in Ecology (2016–2019); 1st International BioMove Symposium (2018); Annual Symposium of the Ecological Society of Germany, Austria & Switzerland (2013)