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acoustic-receiver-network-analysis's Introduction

Belgian cetacean passive acoustic network (BCPAN) analysis (C-POD network)

Analysis of data from C-POD stations:

  1. Data exploration & statistical tests: cpod_analysis.R
  2. Correlation of different variables (e.g. lost minutes, detection positive minutes (DPM), days of activity): correlation.R
  3. Heatmap to visualize data per hour per day per year: heatmap.R
  4. NMDS & PERMANOVA: NMDS_PCA.R
  5. Cross correlation function for time series of tide and noise: cross_correlation_function.R
  6. Cleaning script - yearly export - cpod data.R
  7. Descriptive statistics from the C-POD data paper: BCPAN_descriptive_stats.R

Passive Belgian acoustic receiver network (PBARN) analysis

Analysis of data from acoustic receivers:

  1. Data exploration: explore_data.R
  2. Calculation of receiver efficiency index (REI): REI_compute.R
  3. Interpolation of calculated REI: interpolation.py
  4. Assessment of station performance based on how much time a receiver was lost/broken/replaced and data availability: station_performance.R

Reference

Ellis, R. D., Flaherty-Walia, K. E., Collins, A. B., Bickford, J. W., Boucek, R., Walters Burnsed, S. L., & Lowerre-Barbieri, S. K. (2019). Acoustic telemetry array evolution: From species- and project-specific designs to large-scale, multispecies, cooperative networks. Fisheries Research, 209(April 2018), 186โ€“195. https://doi.org/10.1016/j.fishres.2018.09.015

acoustic-receiver-network-analysis's People

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acoustic-receiver-network-analysis's Issues

Use a research compendia?

Hi @arnclnge!

May I suggest that this repo is reorganized into a research compendium?
Here some background info:

These are a bit overkill but there are a few easy steps that can make the repo more reproducible. E.g. as a minimum compendium I would:

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