The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Two main methods for calculating Boltzmann Entropy of a landscape gradient implemented in belg: (1) hierarchy-based and (2) aggregation-based. Both of these methods have two variants: relative (calculation are based only on one scale) and absolute (the result is based on calculations of many spatial scales). The first method was created in 2017 (Gao et al. 2017). However, in 2019, it was discovered that the absolute hierarchy-based method is not consistent – in other words, it can give wrong results for some corner cases (more about this can be found in Gao et al. 2019). Therefore, a new approach (the aggregation-based method) was developed. This new approach has a different limitation - it requires the number of rows and columns in the input data to be a multiple of 2.
Quick summary:
| method | type | consistent | limitations |
|---|---|---|---|
| Hierarchy-based | Relative | Yes | |
| Hierarchy-based | Absolute | No | |
| Aggregation-based | Relative | Yes | rows and columns must be a multiple of 2 |
| Aggregation-based | Absolute | Yes | rows and columns must be a multiple of 2 |
I derived 619 different rasters (64 by 64 pixels) and calculated Boltzmann entropy using all four variants. You can find the correlation matrix of the results below:
These results suggest that:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.