Development

The BCCVL is consistently releasing new features and upgrades. Please see below upgrades and release history. We always welcome your feedback, suggestions and comments. You can request new features on our forums here.

Release History

Release 1.11.0, 29th July 2016
  • Release of climate data gold mine
    • Global datasets
      • CRUCLIM (Past and Current: 5 year intervals from 1915 – 1995, 19 bioclimatic variables)
      • WorldClim (Current and Future: 1950-2000, 2050, 2070, 19 bioclimatic variables)
      • CLIMOND (Current and Future: 1975, 2030, 2050, 2080, 2090 & 2100, 35 bioclimatic variables)
    • Australia-wide datasets
      • AustCLIM (Current and Future: 1976-2005, 10 year intervals 2015 – 2085, 19 bioclimatic variables)
    • Regional Australia datasets
      • NARCLIM (Current and Future: 2000, 2030 & 2070, 25 bioclimatic variables. NSW, VIC and ACT)
      • TASCLIM (Past, Current and Future: 5 year intervals, 1975 – 2085, 19 bioclimatic variables, Tasmania)
      • AccuCLIM (Past and Current: 5 year intervals, 1965 – 2000, 7 bioclimatic variables. Aust Wet Tropics)
  • We launched our new website makeover which includes a public facing data portal, so now you can search, find and visualise all available data without even logging in!
  • Improvements to the number of notification emails you receive when running an experiment. You now only receive two emails per experiment: one on your first result, and one of your last result (particularly helpful when running multispecies distribution models with hundreds of species!)
  • Included citation information for data imported from GBIF
  • We’ve rescaled bioclim variables in WorldClim and the Australian climate datasets so that they are comparable across all other climate datasets
  • Fixes to display issues for Global PET dataset
  • General bug fixes
Release 1.10.1, 10 May 2016
  • NEW Experiment type: ‘Multi-species Distribution Modelling’ (MSDM)
    You requested it, and we built it. The Multi-species Distribution Modelling (MSDM) Experiment enables you to run an SDM on multiple species (i.e. think ten, think hundreds, think thousands of species!) in the one experiment. You can do this by first uploading a standard .csv file with multiple species, the MSDM experiment then splits this data file into a collection of species and runs an SDM for each species. You can easily grab the result of the MSDM and feed it into our Biodiverse Experiment!
  • A whole new evaluation script! We’ve collaborated with Associate Professor Sama Low Choy to develop a brand new code for the evaluation of the species distribution models. This fixes some issues we found in previous code, but more importantly we now provide the same set of results for algorithms implemented through different R packages (biomod and dismo), which makes it easier to compare! The new code comes with a brand new set of model outputs that provide a more meaningful look at how well your model performed.
  • Access to all new species occurrence platform, the Global Biodiversity Information Facility (GBIF). Which includes over 6.5 million occurrence records across 1.6 million species!
  • Integrated instant chat feature to introduce on the spot support if you get stuck while running an experiment, or uploading/importing/accessing data.
  • We now store the generated pseudo-absences as an output AND you can modify how you generate pseudo-absences for each algorithm in the individual algorithm configuration options.
  • Added features in the geographical constraint tab – you can now select and constrain your model via Australian states or territories, national resource management regions, local government areas or IBRA regions
  • Option to up or down scale data when working with datasets of mixed resolution
  • Updates to the embedded support on algorithm configuration options
  • Improved ability to model with categorical datasets (R now loads them as factors)
  • More meaningful error feedback
  • Improved layouts on our front page and login page
  • General user interface improvements
  • Datasets can be marked as non-redistributable, which means users can use datasets in their experiments but can not directly download them (this opens the door to new datasets that we were not able to make available before)
  • Biomod2 projection outputs now scaled to 0-1
  • Better display and ordering of SDM results
  • Stability improvement for algorithms, including updated R libraries
  • General bug fixes

 

Release 1.9.7, 10 March 2016
  • Release of SDM online open course
  • Enabled automatic front-end local account registration
  • Biomod2 package update

 

Release 1.9.6, 18 February 2016
  • Geographically constrained modelling
  • New compare functionality for evaluation graphs
  • User interface upgrade
  • Ability to import ALA occurrences from the experiment page
  • Improved visualisation of datasets
  • Integration of help links and text support throughout all experiment pages
  • Fixes to the visualisation of model evaluation plots
  • Fixes throughout the import/upload of datasets function
  • General bug fixes

 

Release 1.9.5, 18th November 2015
  • SDM’s from 3 months to 5 minutes to 5 seconds!
    Introducing our “canned SDM”. We’ve taken SDMs from 3 months to 5 minutes, and now to 5 seconds! We are continually advancing the technology to enable anyone to conduct an SDM. Speed up your research today by using the BCCVL to select a species from the ALA and run an SDM at the click of one button! You can then login to the BCCVL and refine the experiment or project it into the future.
  • A brand new user support site brimming with content
    We’ve teamed up with the NeCTAR Support Service and now have 8:00am – 8:00pm phone support on 1300 080 431 as well as instant chat! On top of this our support site includes things such as a step-by-step guide to working your way through the BCCVL, in-depth information about algorithm selection as well as datasets and climate models. We also have a whole community forum section where you can check out latest announcements, request features, ask questions and report any problems you come across.
  • We are now able to import data from ALA at the genus level!
  • Heaps of new help text embedded throughout the experiments to help you build the perfect model
  • Results now affixed on page (which means way less scrolling for you!)
  • Faceted search functions now consistent within experiment modals – makes life much easier when searching for particular future climate scenarios and models
  • Larger windows to allow for more content and better visualisation
  • Dataset visualisation improved to allow better support for categorical, binary and discrete datasets, such as the National Soil Grids categorical data below
  • Algorithms now grouped by category
    • Profile models
    • Machine learning models
    • Statistical models
    • Geographic models
  • General user interface tweaks to make the BCCVL more user friendly
  • Fixed geo-reference information on Maxent outputs
  • Fixed bug issues with the visualiser and exporting shared experiments
  • General bug fixes

 

Release 1.9.1, 28th Sept 2015
  • Brand new datasets:
    • fPAR
    • Gross Primary Productivity (GPP)
  • We now have monthly WorldClim data
  • Input datasets added to compare and overlay visualisation
  • One-click export now available for Google Drive and Dropbox!
  • New map colouring
  • We now collect runtime statistics per experiment and algorithm to pinpoint areas for future improvement
  • A whole new way to search and find datasets!
    • improved look and feel
    • new faceted search
    • browse by collection interface
    • improved metadata content
    • help/content text within visualiser
  • Major improvements to R scripts
    • tailored outputs dependent on algorithm/s chosen
    • improved stability of R scripts
  • Improved help text embedded throughout experiments
  • Map visualiser now twice as fast!
  • General user interface tweaks to make the app more user friendly
  • Fixed display issues with WorldClim datasets
  • Added logging and alerting of data mover and visualiser (so now we’ll know straight away if something has gone wrong, and will be able to fix it quickly)
  • General bug fixes

 

Release 1.9, 17th July 2015
  • Experiment page upgrade
    • You can now quickly see the completion status of each of your experiments
    • You are able to quickly and easily delete experiments
    • Experiment metadata now listed under each experiment for quick reference
  • Improved layout of the Climate and Environmental dataset selector. It’s now easier to visualise layers within datasets for selection in an experiment
  • Many small changes to BCCVL interface
  • One-click export of experiment results to Figshare. This allows users to get all provenance data and includes actual algorithm source code used to produce the results.
  • New datasets
    • Gross Primary Productivity (GPP) data
    • Worldclim Climate data
  • Ability to delete old experiments and your own datasets
  • Full screen map view so you can see all the details
  • Ability to download map image files for publication
  • Bug fixes;
    • Fixes to a few data visualisation bugs

 

Release 1.8, 20 May 2015
  • We have introduced the ability to download all files and graphics from an experiment to your computer.
  • Map comparison feature for experiment results. You can now easily compare multiple outputs of one experiment side-by-side on the same page
  • Map overlay feature for experiment results. You can now easily overlay multiple outputs of one experiment on the same map
  • User interface for creating an experiment is now consistent across all experiment types
  • Biodiversity Model (Endemism, Biodiversity and Redundancy) can now use current projection datasets
  • Full text indexing for datasets
  • Improvements to the R scripts
  • Bug fixes;
    • Linking from Species Distribution Model algorithms to Knowledge Base descriptive tool
    • Reproduction of datasets for Biodiversity Model
    • Below reportable threshold calculations
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