Data from: A classification-occupancy model based on automatically identified species data
Creators
Description
Data and code repository associated with the publication: Ogawa, Ryo, Frédéric Gosselin, Kevin F. A. Darras, Stephanie Roilo, and Anna F. Cord. 2025. “A Classification-Occupancy Model Based on
Automatically Identified Species Data.” Ecology e70086. https://doi.org/10.1002/ecy.70086
This folder includes the data, codes, and results of manuscript in addition to tutorial material for the proposed model. The Rscripts include both simulation and case study analyses. Some of the data include sensitive information, but the proposed model can be analyzed with the data included in this depository. In addition, all the processed data and result figures can be found from this depository.
## Description of the data and file structure
cls_occ/
readme.txt
batch/
case_study.txt
simulation.txt
input/
all_aid.txt
amplitude_ambient_manual.csv
amplitude_signal_manual.csv
annotation.csv
species_count.csv
species_data.csv
Xdet.csv
Xocc_ori.csv
jagscodes/
model1.txt
model2.txt
model3.txt
model4.txt
readme.txt
output/
case_study/
detection_space.csv
MCMCparams.csv
Alauda arvensis/
model1.RData
model2.RData
model3.RData
model4.RData
Curruca communis/
model1.RData
model2.RData
model3.RData
model4.RData
Emberiza citrinella/
model1.RData
model2.RData
model3.RData
model4.RData
model_eval/
Alauda arvensis.csv
Curruca communis.csv
Emberiza citrinella.csv
Motacilla flava.csv
Passer montanus.csv
Motacilla flava/
model1.RData
model2.RData
model3.RData
model4.RData
Passer montanus/
model1.RData
model2.RData
model3.RData
model4.RData
simulation/
result_300524.csv
result_300524_aggr.csv
plot/
Alauda arvensis.jpg
confidence_score_correlation.jpg
Curruca communis.jpg
detection_fp.jpg
Emberiza citrinella.jpg
model_eval.jpg
Motacilla flava.jpg
Passer montanus.jpg
ppp_chi_m4.jpg
ppp_sos_m4.jpg
score_histogram.jpg
rscript/
1_simulation.R
2_case_study.R
3_model_eval.R
readme.txt
utils.R
figures/
fig2_model_eval_summary.R
figS10_confidence_score_correlation.R
figS8_detection_fp.R
figS9_score_histogram.R
figsS1-S2_ppp_plot.R
figsS3-S7_sd_map.R
tables/
tab1_simulation_aggr.R
tabS4_detection_space.R
tabS5_MCMCparams.R
tutorial/
cls_occ_tutorial.RData
model4.txt
Files
cls_occ.zip
Files
(1.3 GB)
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