Standard modelling procedure for Species Distribution and Ecological Niche Modelling (SDMS01) Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling is a practical R training course for ecologists and environmental researchers working with species occurrence and e...

Live online course on standard workflows for species distribution & ecological niche modelling, taught by Neftalí Sillero, a spatial ecologist with over 70 peer reviewed publications

23–24 Apr
prstats.org/course/stand...

#PhDStudents #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

(PDF) Predicting the climate niche of Puccinia abrupta var. partheniicola using maximum entropy for strategic biological control of Parthenium hysterophorus in India PDF | Puccinia abrupta var. partheniicola is a rust fungus specific to Parthenium hysterophorus, a globally invasive weed causing ecological and health... | Find, read and cite all the research you ne...

Predicting the climate niche of Puccinia abrupta var. partheniicola using maximum entropy for strategic biological control of Parthenium hysterophorus in India

#Bioclimaticvariables
#DIVA-GIS
#MaxEnt
#rustfungi
#speciesdistributionmodelling
#weedbiocontrol

www.researchgate.net/publication/...

BioAnalyst: A foundation model for Biodiversity 🌍🌐

#ArtificialIntelligence #FoundationModels #MultiModalData #BiodiversityAnalysis #RemoteSensing #SpeciesDistributionModelling #HabitatSuitability

arxiv.org/pdf/2507.09080

Online Course - Live and Online

Full course details and registration:
www.prstats.org/course/onlin...

#SpeciesDistributionModelling #BayesianStatistics
#EcologicalModelling #RStats #QuantitativeEcology
#SpatialEcology #EnvironmentalDataScience
#Biostatistics #EcologyTraining #StatisticalModelling

🌍 DeepMaxent enhances #SpeciesDistributionModelling by integrating neural networks with Maxent, improving predictions even in data-scarce regions. Correcting sampling biases & scaling efficiently, advances biodiversity research & conservation!

👉 More: b-cubed.eu/news/multi-s...

tidysdm: Leveraging the flexibility of tidymodels for species distribution modelling in R In species distribution modelling (SDM), it is common practice to explore multiple machine learning (ML) algorithms and combine their results into ensembles. In R, many implementations of differen...

▶️ #tidysdm to perform flexible ecological modelling ( #SpeciesDistributionModelling ). It can natively work with time-scattered data: #Archeology / #paleobiology community, this is for you!
besjournals.onlinelibrary.wiley.com/doi/10.1111/...

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