Showing 5 of total 5 results (show query)
babaknaimi
sdm:Species Distribution Modelling
An extensible framework for developing species distribution models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. For more information, please check the following paper: Naimi, B., Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.
Maintained by Babak Naimi. Last updated 2 months ago.
24 stars 9.31 score 312 scripts 1 dependents
r-world-devs
shinyCohortBuilder:Modular Cohort-Building Framework for Analytical Dashboards
You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Maintained by Krystian Igras. Last updated 2 months ago.
7 stars 7.05 score 40 scripts
sylvainschmitt
SSDM:Stacked Species Distribution Modelling
Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Maintained by Sylvain Schmitt. Last updated 11 months ago.
44 stars 6.99 score 44 scripts
umr-amap
AMAPVox:LiDAR Data Voxelisation
Read, manipulate and write voxel spaces. Voxel spaces are read from text-based output files of the 'AMAPVox' software. 'AMAPVox' is a LiDAR point cloud voxelisation software that aims at estimating leaf area through several theoretical/numerical approaches. See more in the article Vincent et al. (2017) <doi:10.23708/1AJNMP> and the technical note Vincent et al. (2021) <doi:10.23708/1AJNMP>.
Maintained by Philippe Verley. Last updated 2 months ago.
15 stars 6.13 score 12 scripts
cran
fgui:Function GUI
Rapidly create a GUI interface for a function you created by automatically creating widgets for arguments of the function. Automatically parses help routines for context-sensitive help to these arguments. The interface essentially a wrapper to some Tcl/Tk routines to both simplify and facilitate GUI creation. More advanced Tcl/Tk routines/GUI objects can be incorporated into the interface for greater customization for the more experienced.
Maintained by Thomas Hoffmann. Last updated 7 years ago.
1.95 score 3 dependents