ENMTML

An R package for an integrated construction of Ecological Niche Models.
https://github.com/andrefaa/ENMTML

Category: Biosphere
Sub Category: Biodiversity Analysis and Metrics

Keywords from Contributors

ecological-niche-modelling ensemble-modelling model-fit-for-purpose model-tuning spatial-ecology spatially-structured-validation species-distribution-modelling

Last synced: about 9 hours ago
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Create Ecological Niche Models with TheMetaLand

README.Rmd

          # __ENMTML__ 
[![DOI](https://zenodo.org/badge/DOI/10.1016/j.envsoft.2019.104615.svg)](https://doi.org/10.1016/j.envsoft.2019.104615)
[![License](https://img.shields.io/badge/license-GPL%20%28%3E=%203%29-lightgrey.svg?style=flat)](http://www.gnu.org/licenses/gpl-3.0.html)
[![Lifecycle:manturing](https://img.shields.io/badge/lifecycle-manturing-blue.svg)](https://www.tidyverse.org/lifecycle/#manturing)

## An R package for an integrated construction of Ecological Niche Models

### Installation
```ruby
if (!"remotes"%in%installed.packages()){install.packages("remotes")}  
remotes::install_github("cran/rgeos")
remotes::install_github("cran/rgdal")
remotes::install_github("andrefaa/ENMTML")  
```
### Why **ENMTML**?  
**ENMTML** stands for **E**cological **N**iche **M**odelling within **T**he **M**eta**L**and EcologyLab.  
It is a product from the [Prof. Paulo De Marco's lab in Ubiversidade Federal de Goiás, Brasil](https://themetaland.wixsite.com/themetaland).

It puts together a lot of our work with ENM's in the past years in a single script, with the objective of making it easy to use but also covering the complex methodological development that exists in the field.

### What is the main objective of **ENMTML**?   
We believe there is a division within ENM/SDM.

Developers are constantly coming up with better methods, which causes those improvements to be scattered throughout literature and not always reach users.  
This effect is potentialized as novelties are sometimes built within different R-packages, which demand users to also have some comprehension of programming. 
 
The main objective of **ENMTML** is to minimize those issues. 
 
We gather here most of the methodological development on ENM and present them to users in a single function with arguments related to those methodological decisions. 
 
We bring together several alternatives for: 

* Variable collinearity control  
* Bias control  
* Accessible area delimitation  
* Pseudo-absence allocation  
* Data partition  
* A wide variety of algorithms   
* Thresholds  
* Evaluation metrics  
* [Deal with overprediction (MSDM)](https://github.com/sjevelazco/MSDM)  
* Ensemble models  
* Projection to a different time period/spatial extent (MOP calculation included)  

### What if I couldn't find what I was looking for in **ENMTML**?  


#### Please let us know!

We are regularly working on the package and are very interested in incorporating new functionalities to the package. 

### Last but not least  
**There are no defaults!** 

We believe **every ENM should be carefully planned and every decision matters!**  

We attempted to present a solid background for all methodological alternatives in our package, you can find in our article specific details on where to find a detailed description of the included methods.


### CITATION:
**Andrade, A.F.A., Velazco, S.J.E., De Marco Jr, P., 2020. ENMTML: An R package for a straightforward construction of complex ecological niche models. Environmental Modelling & Software 125, 104615. https://doi.org/10.1016/j.envsoft.2019.104615**
  
  
> Please report bugs [here](https://github.com/andrefaa/ENMTML/issues) or send an e-mail to andrefaandrade@gmail.com or sjevelazco@gmail.com! 

        

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Last synced: 1 day ago

Total Commits: 640
Total Committers: 4
Avg Commits per committer: 160.0
Development Distribution Score (DDS): 0.5

Commits in past year: 6
Committers in past year: 3
Avg Commits per committer in past year: 2.0
Development Distribution Score (DDS) in past year: 0.333

Name Email Commits
Unknown a****e@g****m 320
sjevelazco s****o@g****m 306
sjevelazco s****c@g****m 13
Renata Muylaert r****y@g****m 1

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Last synced: 1 day ago

Total issues: 32
Total pull requests: 75
Average time to close issues: 2 months
Average time to close pull requests: about 17 hours
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Total pull request authors: 4
Average comments per issue: 2.09
Average comments per pull request: 0.0
Merged pull request: 74
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 1.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/upload-artifact v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 3.5.0 depends
  • RStoolbox * imports
  • ade4 * imports
  • adehabitatHS * imports
  • caret * imports
  • dismo * imports
  • doParallel * imports
  • dplyr * imports
  • flexclust * imports
  • foreach * imports
  • gbm * imports
  • glmnet * imports
  • igraph * imports
  • kernlab * imports
  • maxlike * imports
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  • methods * imports
  • mgcv * imports
  • parallel * imports
  • pgirmess * imports
  • plyr * imports
  • randomForest * imports
  • raster * imports
  • rgdal * imports
  • rgeos * imports
  • sp * imports
  • spThin * imports
  • tools * imports
  • usdm * imports
  • testthat * suggests

Score: 5.44673737166631