Gurutzeta Guillera‐Arroita

7 ta ish

The University of Melbourne

1. Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure

   David R. Roberts, Volker Bahn, Simone Ciuti +11

   Maqola20164 iqtibos

   ABIABI:AkademIndex/2026.other.313890

2. Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models

   Tianxiao Hao, Jane Elith, José J. Lahoz‐Monfort +1

   Maqola20203 iqtibos

   ABIABI:AkademIndex/2026.other.260812

3. A standard protocol for reporting species distribution models

   Damaris Zurell, Janet Franklin, Christian König +19

   Maqola20203 iqtibos

   ABIABI:AkademIndex/2026.other.313911

4. A review of evidence about use and performance of species distribution modelling ensembles like BIOMOD

   Tianxiao Hao, Jane Elith, Gurutzeta Guillera‐Arroita +1

   Sharh maqola20192 iqtibos

   ABIABI:AkademIndex/2026.other.260808

5. Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code

   Roozbeh Valavi, Gurutzeta Guillera‐Arroita, José J. Lahoz‐Monfort +1

   Maqola20212 iqtibos

   ABIABI:AkademIndex/2026.other.260819

6. Modelling species presence‐only data with random forests

   Roozbeh Valavi, Jane Elith, José J. Lahoz‐Monfort +1

   Maqola20212 iqtibos

   ABIABI:AkademIndex/2026.other.260821

7. <scp>block</scp> <scp>CV</scp> : An <scp>r</scp> package for generating spatially or environmentally separated folds for <i>k</i> ‐fold cross‐validation of species distribution models

   Roozbeh Valavi, Jane Elith, José J. Lahoz‐Monfort +1

   Maqola20182 iqtibos

   ABIABI:AkademIndex/2026.other.313900