EcoCommons Marine use case
This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors...
Keywords: Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software
EcoCommons Marine use case
https://www.ecocommons.org.au/marine-use-case/
https://dresa.org.au/materials/ecocommons-marine-use-case
This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors that are both temporally (monthly) and spatially (Australian waters) explicit.
Again, a robust example would need calibration and validation steps, but this example does show how SDMs can be developed across time.
The data and code needed to run these examples is here:
https://github.com/EcoCommons-Australia/educational_material/tree/main/Marine_use_case
https://www.ecocommons.org.au/contact/
Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software
ugrad
masters
mbr
phd
ecr
Species Distribution Modelling in R
This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools.
Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting...
Keywords: Species Distribution Modelling, Ecology, R software, EcoCommons
Species Distribution Modelling in R
https://www.ecocommons.org.au/educational-material4-mastering-species-distribution-modelling-in-r/
https://dresa.org.au/materials/species-distribution-modelling-in-r
This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools.
Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting your model, 5. model evaluation
Scripts and files are available here:
https://github.com/EcoCommons-Australia/educational_material/tree/main/SDMs_in_R/Scripts
Scripts for all four modules are here: https://www.ecocommons.org.au/wp-content/uploads/EcoCommons_steps_1_to_4.html
https://www.ecocommons.org.au/contact/
https://orcid.org/0000-0002-1359-5133
Species Distribution Modelling, Ecology, R software, EcoCommons
ugrad
mbr
phd
VOSON Lab Code Blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
Keywords: visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
Resource type: tutorial, other
VOSON Lab Code Blog
https://vosonlab.github.io/
https://dresa.org.au/materials/voson-lab-code-blog
The VOSON Lab Code Blog is a space to share methods, tips, examples and code. Blog posts provide techniques to construct and analyse networks from various API and other online data sources, using the VOSON open-source software and other R based packages.
robert.ackland@anu.edu.au
visualisation, Data analysis, data collections, R software, Social network analysis, social media data, Computational Social Science, quantitative, Text Analytics
researcher
support
phd
masters