SESraster
Raster Randomization for Null Hypothesis Testing
Randomization of presence/absence species distribution raster data with or without including spatial structure for calculating standardized effect sizes and testing null hypothesis. The randomization algorithms are based on classical algorithms for matrices (Gotelli 2000, doi:10.2307/177478) implemented for raster data.
- Version0.7.1
- R version≥ 2.10
- LicenseGPL (≥ 3)
- Needs compilation?No
- SESraster citation info
- Last release10/22/2024
Documentation
Team
Neander Marcel Heming
Flávio M. M. Mota
Show author detailsRolesAuthorGabriela Alves-Ferreira
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 512 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 50 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,807 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 74 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests4 packages
- Reverse Imports2 packages