ABMI (6) ARU (1) C (1) CRAN (1) Hungary (2) JOSM (2) PVA (2) PVAClone (1) QPAD (2) R (20) R packages (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) dclone (3) dependencies (1) detect (3) detectability (2) footprint (3) forecasting (1) functions (3) intrval (4) lhreg (1) mefa4 (1) monitoring (2) pbapply (5) phylogeny (1) plyr (1) poster (2) processing time (2) progress bar (4) publications (2) report (1) sector effects (1) shiny (1) single visit (1) site (1) slider (1) slides (2) special (3) species (1) trend (1) tutorials (2) video (4)

- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring
- — wac2wav converter
- — Version 3 of the ABMI Species Website released
- — Human footprint change during the last decade
- — ABMI Species Website launched

- — Fitting removal models with the detect R package
- — Shiny slider examples with the intrval R package
- — Phylogeny and species traits predict bird detectability
- — PVA: Publication Viability Analysis, round 3
- — The progress bar just got a lot cheaper
- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?
- — Trends in daily R package downloads
- — Data set with all the conceivable errors
- — Timer progress bar added to pbapply package
- — mefa4 R package update
- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — What can we do with a single survey?
- — Budapest Use R!
- — ISEC 2014 in Montpellier

- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier

- — PVA: Publication Viability Analysis, round 3
- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — Budapest Use R!

- — Hierarchical models for conservation biologists made easy
- — Hierarchical modeling workshop in Monpellier
- — Budapest Use R!

- — Fitting removal models with the detect R package
- — What can we do with a single survey?
- — ISEC 2014 in Montpellier

- — Fitting removal models with the detect R package
- — Phylogeny and species traits predict bird detectability

- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring
- — Human footprint change during the last decade

- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R

- — Shiny slider examples with the intrval R package
- — PVA: Publication Viability Analysis, round 3
- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package

- — Effects of industrial sectors on species abundance in Alberta
- — NACCB 2016 talk on cumulative effects monitoring

- — The progress bar just got a lot cheaper
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?
- — Timer progress bar added to pbapply package

- — The progress bar just got a lot cheaper
- — Progress bar overhead comparisons
- — How to add pbapply to R packages
- — What is the cost of a progress bar in R?

- — What is new in the intrval R package?
- — Relational operators for intervals with the intrval R package
- — How to write and document %special% functions in R

In a paper recently published in the Condor, titled *Evaluating time-removal models for estimating availability of boreal birds during point-count surveys: sample size requirements and model complexity*, we assessed different ways of controlling for point-count duration in bird counts using data from the Boreal Avian Modelling Project. As the title indicates, the paper describes a cost-benefit analysis to make recommendations about when to use different types of the removal model. The paper is open access, so feel free to read the whole paper here).

- Shiny slider examples with the intrval R package
- Phylogeny and species traits predict bird detectability
- PVA: Publication Viability Analysis, round 3
- The progress bar just got a lot cheaper
- What is new in the intrval R package?

ABMI (6) ARU (1) C (1) CRAN (1) Hungary (2) JOSM (2) PVA (2) PVAClone (1) QPAD (2) R (20) R packages (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) dclone (3) dependencies (1) detect (3) detectability (2) footprint (3) forecasting (1) functions (3) intrval (4) lhreg (1) mefa4 (1) monitoring (2) pbapply (5) phylogeny (1) plyr (1) poster (2) processing time (2) progress bar (4) publications (2) report (1) sector effects (1) shiny (1) single visit (1) site (1) slider (1) slides (2) special (3) species (1) trend (1) tutorials (2) video (4)