biomod2 | computer platform for ensemble forecasting | Predictive Analytics library

 by   biomodhub R Version: v4.2-3 License: No License

kandi X-RAY | biomod2 Summary

kandi X-RAY | biomod2 Summary

biomod2 is a R library typically used in Analytics, Predictive Analytics applications. biomod2 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

biomod2: Ensemble Platform for Species Distribution Modeling.
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            kandi-support Support

              biomod2 has a low active ecosystem.
              It has 47 star(s) with 20 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 226 have been closed. On average issues are closed in 38 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of biomod2 is v4.2-3

            kandi-Quality Quality

              biomod2 has 0 bugs and 0 code smells.

            kandi-Security Security

              biomod2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              biomod2 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              biomod2 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              biomod2 releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            biomod2 Key Features

            No Key Features are available at this moment for biomod2.

            biomod2 Examples and Code Snippets

            No Code Snippets are available at this moment for biomod2.

            Community Discussions

            QUESTION

            Is there a way to convert a multi-layer raster (Terra) to a rasterStack object (Raster) in R?
            Asked 2022-Feb-01 at 19:33

            As question says, I am trying to convert a multi-layer terra raster to a rasterStack object so I can use it with another package (biomod2) that only accepts older raster objects.

            Are there any efficient methods of doing this? My only other option seems to save it as a .tif and then re-import it to R using raster.

            When I use stack(terraRaster), it duplicated some of the layers. For example, I have a stack that consists of the 19 WorldClim bioclimatic variables plus on layer for geology. Here is was it looks like:

            ...

            ANSWER

            Answered 2022-Feb-01 at 19:33

            You can use either raster::stack or raster::brick

            Source https://stackoverflow.com/questions/70934411

            QUESTION

            Raster predict function changes factor to numeric and gives error
            Asked 2021-Mar-13 at 23:50

            I am using the Biomod2 package to run a series of species distribution models in R. One of the modelling techniques I am using is a classification tree analysis (CTA) which uses the rpart package.

            The response in these models are presence/absence of a plant species and the predictor variables are contained in a rasterStack. Most of the variables in the rasterStack are continuous numeric variables with the exception of one land cover variables, geology, which is a factor. I stacked each individual rasterLayer and after, used as.factor() to convert the geology layer to a factor.

            I am running into an error message when trying to predict from the CTA. The CTA model was built with a data frame in which "geology" is a factor (see below) and used the raster predict function on a rasterStack ("geology" is a factor, see below). However, running the predict function, I get an error saying I supplied a numeric instead of a factor. I have checked all possible points to see if somehow "geology" get converted back to numeric but it seems to be a factor (as it should) everywhere I look.

            EDIT: Changed data to make reproduceable.

            ...

            ANSWER

            Answered 2021-Mar-13 at 23:50

            In this case you need to help predict a bit by providing the factor name(s) and levels

            Source https://stackoverflow.com/questions/66608168

            QUESTION

            I can't seem to install the 'ecospat' package on R studio for windows
            Asked 2020-Mar-30 at 10:00

            I am unable to install the 'ecospat' package on R and I was wondering why this could be?

            After running the following bit of code using R in windows.....

            ...

            ANSWER

            Answered 2020-Mar-30 at 10:00

            First of all you need to update your R version. I think you use an R 3.4 version. The main reason why your installation fails is that you need to install pROC > 1.15 and this is not available for R 3.4.

            Source https://stackoverflow.com/questions/60927808

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install biomod2

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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