Data

Species distribution modelling to identify and validate areas of occupancy for the magnificent broodfrog (Pseudophryne covacevichae)

James Cook University
Rush, Emily ; Edwards, Will ; Hoskin, Conrad
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchdata.jcu.edu.au//published/99abdd20346311f191f2f1bf0eb85acd&rft.title=Species distribution modelling to identify and validate areas of occupancy for the magnificent broodfrog (Pseudophryne covacevichae)&rft.identifier=https://researchdata.jcu.edu.au//published/99abdd20346311f191f2f1bf0eb85acd&rft.publisher=James Cook University&rft.description=Species distribution modelling to identify areas of occupancy for the magnificent broodfrog.Extract from GitHub README: This code and associated files are for a maxent species distribution model for Pseudophryne covacevichae. For the actual model the files are: 00_Clean_occurrence_data # to filter and prepare occurrence data 01_clip layers # to clip spatial layers to the same extent (study area) 02_single-tif-to-ascii-conversion # not required but may be of use, the model code will accept .tif files 03_SDM_20251119 # code used to build the model Both the Final_V1_climate and Combined rmd files were the codes for the original models in the first draft of the manuscript. Climate model was removed during journal revisions. Data for the model are: Spatial layers in 'Clim_comb_layers' folder 'Modified-combined_finaldata-2points.csv' holds the species occurrence data For the field validation (GLM component) the code and data required are: 05_Field_surveys GLM_Field_data For the raster comparison, the code and files required are: 04_raster_comparison Mod3_combined_raw Mod3_validated_raw Change analysis raster is the outcome of these &rft.creator=Rush, Emily &rft.creator=Edwards, Will &rft.creator=Hoskin, Conrad &rft.date=2026&rft.relation=https://doi.org/10.1071/WR25108&rft.coverage=east=145.390507; north=-17.374498; projection=WGS84&rft.coverage=east=145.452317; north=-17.563131; projection=WGS84&rft.coverage=east=145.433087; north=-17.65214; projection=WGS84&rft.coverage=east=146.119793; north=-19.048103; projection=WGS84&rft.coverage=east=146.063476; north=-18.855874; projection=WGS84&rft.coverage=east=144.981475; north=-16.238945; projection=WGS84&rft.coverage=east=145.190257; north=-16.505101; projection=WGS84&rft_rights=&rft_subject=Australian Wet Tropics&rft_subject=conservation ecology&rft_subject=ENMEval&rft_subject=land use change&rft_subject=MaxEnt model&rft_subject=model validation&rft_subject=threatened species&rft_subject=wet sclerophyll forest&rft_subject=Terrestrial ecology&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Access:

Open view details

Open: free access under license

Contact Information



Full description

Species distribution modelling to identify areas of occupancy for the magnificent broodfrog.

Extract from GitHub README:

This code and associated files are for a maxent species distribution model for Pseudophryne covacevichae.

For the actual model the files are:

  1. 00_Clean_occurrence_data # to filter and prepare occurrence data
  2. 01_clip layers # to clip spatial layers to the same extent (study area)
  3. 02_single-tif-to-ascii-conversion # not required but may be of use, the model code will accept .tif files
  4. 03_SDM_20251119 # code used to build the model
  5. Both the Final_V1_climate and Combined rmd files were the codes for the original models in the first draft of the manuscript. Climate model was removed during journal revisions.

Data for the model are:

  1. Spatial layers in 'Clim_comb_layers' folder
  2. 'Modified-combined_finaldata-2points.csv' holds the species occurrence data

For the field validation (GLM component) the code and data required are:

  1. 05_Field_surveys
  2. GLM_Field_data

For the raster comparison, the code and files required are:

  1. 04_raster_comparison
  2. Mod3_combined_raw
  3. Mod3_validated_raw
  4. Change analysis raster is the outcome of these

Created: 2026-08-03

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related Publications

Related People

145.39051,-17.3745

145.390507,-17.374498

145.45232,-17.56313

145.452317,-17.563131

145.43309,-17.65214

145.433087,-17.65214

146.11979,-19.0481

146.119793,-19.048103

146.06348,-18.85587

146.063476,-18.855874

144.98148,-16.23895

144.981475,-16.238945

145.19026,-16.5051

145.190257,-16.505101

dcmiPoint: east=145.390507; north=-17.374498; projection=WGS84

dcmiPoint: east=145.452317; north=-17.563131; projection=WGS84

dcmiPoint: east=145.433087; north=-17.65214; projection=WGS84

dcmiPoint: east=146.119793; north=-19.048103; projection=WGS84

dcmiPoint: east=146.063476; north=-18.855874; projection=WGS84

dcmiPoint: east=144.981475; north=-16.238945; projection=WGS84

dcmiPoint: east=145.190257; north=-16.505101; projection=WGS84

Subjects
Australian Wet Tropics | Biological Sciences | ENMEval | Ecology | MaxEnt model | Terrestrial Ecology | conservation ecology | land use change | model validation | threatened species | wet sclerophyll forest |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
  • Local : researchdata.jcu.edu.au//published/99abdd20346311f191f2f1bf0eb85acd
ACN 633 798 857