ABMI (7) ARU (1) Alberta (1) BAM (1) C (1) CRAN (1) Hungary (2) JOSM (2) PVA (2) PVAClone (1) QPAD (3) R (20) R packages (1) abundance (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) dclone (3) density (1) dependencies (1) detect (3) detectability (3) 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)

- — How many birds are out there?
- — 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

- — How many birds are out there?
- — Fitting removal models with the detect R package
- — ISEC 2014 in Montpellier

- — 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

- — How many birds are out there?
- — 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 recent paper entitled “*Lessons learned from comparing spatially explicit models and the Partners in Flight approach to estimate population sizes of boreal birds in Alberta, Canada*” we developed improved, spatially explicit models for 81 land bird species in northern Alberta, Canada. We then compared these estimates of bird abundance to a commonly-used but non-spatially explicit estimate by Partners in Flight (PIF v 3.0) that’s based on the North American Breeding Bird Survey (BBS) data set. The publication is a result of years of collaboration between the ABMI, Boreal Avian Modelling (BAM) project, Canadian Wildlife Service (Environment and Climate Change Canada), and United States Geological Survey.

- 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

ABMI (7) ARU (1) Alberta (1) BAM (1) C (1) CRAN (1) Hungary (2) JOSM (2) PVA (2) PVAClone (1) QPAD (3) R (20) R packages (1) abundance (1) bioacoustics (1) biodiversity (1) birds (2) course (2) data (1) data cloning (4) dclone (3) density (1) dependencies (1) detect (3) detectability (3) 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)