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#predictors — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #predictors, aggregated by home.social.

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  1. 'Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction', by Jue Hou, Zijian Guo, Tianxi Cai.

    jmlr.org/papers/v24/21-1075.ht

    #imputation #predictors #supervised

  2. 'Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction', by Jue Hou, Zijian Guo, Tianxi Cai.

    jmlr.org/papers/v24/21-1075.ht

    #imputation #predictors #supervised

  3. Using Satellite Data For Species Distribution Modeling With GRASS GIS And R [video tutorial]
    --
    youtu.be/MLhrhUfPzZk <-- shared tutorial video
    --
    “Species distribution models (SDM) have traditionally used climatic data as predictors of habitat suitability for the target species. In this hands-on studio, ‘we’ will explore the use of satellite data to derive relevant predictors. ‘We’ will perform satellite data processing, from download to analysis, using GRASS GIS software functionality. Then, ‘we’ll’ read our predictors within R and perform SDM, visualize and analyze results. Finally, ‘we’ will write the output distribution maps back into GRASS…”
    #GIS #spatial #mapping #spatialanalysis #tutorial #onlinelearning #software #video #R #SDM #speciesdistributionmodel #GRASS #model #modeling #remotesensing #satellite #predictors #dataprocessing #download #opendata #openaccess #opensource #visualisation #map

  4. Using Satellite Data For Species Distribution Modeling With GRASS GIS And R [video tutorial]
    --
    youtu.be/MLhrhUfPzZk <-- shared tutorial video
    --
    “Species distribution models (SDM) have traditionally used climatic data as predictors of habitat suitability for the target species. In this hands-on studio, ‘we’ will explore the use of satellite data to derive relevant predictors. ‘We’ will perform satellite data processing, from download to analysis, using GRASS GIS software functionality. Then, ‘we’ll’ read our predictors within R and perform SDM, visualize and analyze results. Finally, ‘we’ will write the output distribution maps back into GRASS…”