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doi: 10.5281/zenodo.55742
MODOEKvis is a visualisation tool written with R Shiny for the Model Ecosystem Facility (MODOEK) at the Swiss Federal Research Institute WSL. The data is sourced from the Oracle Database hosted at the WSL, processed with python and R on an Ubuntu machine, and finally published with an R Shiny application. The tool displays the latest 2016 data, i.e. relative soil water contents (RWC, %) and soil temperatures (°C) from the quarters of each of the 16 MODOEK chambers. Read more about the MODOEK and our ongoing research: http://www.wsl.ch/fe/walddynamik/projekte/modoek/index_EN/ Find the application in place: https://www.wsl.ch/apps/MODOEK/ Please direct your comments and questions directly to Matthias Haeni (matthias.haeni@wsl.ch, the programmer of this application), Marcus Schaub (marcus.schaub@wsl.ch, the principal investigator of MODOEK), or to Leonie Schönbeck (leonie.schoenbeck@wsl.ch, the current PhD student conducting the research). Find the most current release here: https://github.com/datamat/modoekvis/
forest, visualisation, climate change, R Shiny, drought, dygraph, realtime
forest, visualisation, climate change, R Shiny, drought, dygraph, realtime
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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