Download (1MB).pdf

1-s2.0-S1574954123001565-main.pdf
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🔗 Source: pure.iiasa.ac.at
📊 Size: 5.05 MB
👤 Author: Martin Jung
⬇️ Downloads: 169

Summary

An integrated species distribution modelling framework is presented to address the challenge of heterogeneous biodiversity data. The framework, implemented in the ibis.iSDM R-package, allows the integration of different data sources, such as presence-only, community survey, expert ranges, or species habitat preferences, into a single model or ensemble of models. The package supports parameter transformations, tuning, and data preparation, and enables the creation of spatial-temporal projections and scenarios, while accounting for ecological constraints. The framework aims to provide more realistic and constrained spatial predictions by incorporating methodological advances and innovative concepts, such as sequential or weighted integration and thresholding by prediction uncertainty.

Description

An integrated species distribution modelling framework is presented to address the challenge of heterogeneous biodiversity data.

Technical Information

  • File Format: PDF
  • File Size: 5.05 MB
  • Pages: 10
  • Language: EN
  • Author: Martin Jung
  • Total Downloads: 169
  • Last Updated: 4 weeks ago

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