Gbm.auto: A software tool to simplify spatial modelling and Marine Protected Area planning.

ABSTRACT:

Boosted regression trees. excellent for data-poor spatial management but hard to use

Marine resource managers and scientists often advocate spatial approaches to manage data-poor species. Existing spatial prediction and management techniques are either insufficiently robust, struggle with sparse input data, or make suboptimal use of multiple explanatory variables. Boosted Regression Trees feature excellent performance and are well suited to modelling the distribution of data-limited species, but are extremely complicated and time-consuming to learn and use, hindering access for a wide potential user base and therefore limiting uptake and usage.

Brts automated and simplified for accessible general use with rich feature set

We have built a software suite in R which integrates

SUBMITTER: Dedman S 

PROVIDER: S-EPMC5720763 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature