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Renato De Giovanni

Publications -  30
Citations -  1641

Renato De Giovanni is an academic researcher. The author has contributed to research in topics: Environmental niche modelling & Workflow. The author has an hindex of 13, co-authored 29 publications receiving 1351 citations.

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Darwin Core: an evolving community-developed biodiversity data standard.

TL;DR: This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information, focusing on the categories of terms that define the standard, differences between simple and relational DarwinCore, how the standard has been implemented and the community processes that are essential for maintenance and growth of the standard.
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openModeller: a generic approach to species' potential distribution modelling

TL;DR: A generic approach for building a single computing framework capable of handling different data formats and multiple algorithms that can be used in potential distribution modelling is described and an example use case illustrates potential distribution maps generated by the framework.
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Comparing machine learning classifiers in potential distribution modelling

TL;DR: The experimental results highlight the good performance of random trees classifiers, indicating this particular technique as a promising candidate for modelling species' potential distribution.
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Global biodiversity informatics: setting the scene for a "new world" of ecological modeling

TL;DR: Open access to research data and open-source tools are leading to a new era of web services and computational frameworks for spatial biodiversity analysis, bringing new opportunities and dimensions to novel approaches in ecological analysis, predictive modeling, and synthesis and visualization of biodiversity information.
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Challenges and perspectives for species distribution modelling in the neotropics

TL;DR: The 2011 workshop " Species distribution models: applications, challenges and perspectives " as mentioned in this paper aimed to review the state-of-the-art in species distribution modelling (SDM) in the neotropical realm.