tutorials:analyse-structure
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tutorials:analyse-structure [2025/06/30 12:58] – [Analysis in R] t | tutorials:analyse-structure [2025/06/30 16:51] (current) – t | ||
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- | There exists the rare case that you might want to conduct some statistical analysis on the structure of your simulated or measured plant outside of XL and GroIMP. GroIMP' | + | Sometimes, |
Here, we present an example on how to export structures from GroIMP and how to analyze them in R. There, the rTwig library allows for convenient analysis of QSM-like structures, which we will export from GroIMP. | Here, we present an example on how to export structures from GroIMP and how to analyze them in R. There, the rTwig library allows for convenient analysis of QSM-like structures, which we will export from GroIMP. | ||
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tree_metrics() provides some useful aggregations that are similar to GroIMP queries, like for example the aggregation of individual cylinder segments into branches. | tree_metrics() provides some useful aggregations that are similar to GroIMP queries, like for example the aggregation of individual cylinder segments into branches. | ||
- | The actual analysis to perform will however heavily depend on the type of your data source and how the data was collected (e.g. biologically meaningful shoot-based data vs. pure geometry acquisitions). Supposing you have Fastrak data where every cylinder segment represents a yearly shoot, you could e.g. analyze the yearly apical growth of the stem on several spruce trees like this: | + | The actual analysis to perform will however heavily depend on the type of your data source and how the data was collected (e.g. biologically meaningful shoot-based data vs. pure geometry acquisitions). Supposing you have Fastrak data where every cylinder segment represents a yearly shoot, you could e.g. analyze the yearly apical growth of the stem on several spruce trees like this, just using the raw QSM data: |
<code sas> | <code sas> |
tutorials/analyse-structure.1751281124.txt.gz · Last modified: 2025/06/30 12:58 by t