Maria Paula Balcazar-Vargas' Workflows

Life Table Response Experiment Year Effect... (1)

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The Life Table Response Experiments Effect of Years in One Place workflow provides an environment to analyse two or more matrices from different years in one location. The objective of this workflow is to determine the effects of the research years (2 or more) in one place on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001). LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ? under two or more sets of environmental conditions...

Created: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Life Table Response Experiment fixed desig... (1)

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The Life Table Response Experiments place effect workflow provides an environment to analyse one or more matrices (e.g. matrices of different years from the same place) from two or more places. The objective of this workflow is to determine the effects of the research places or localities (2 or more) on ?. This workflow performs a fixed LTRE, one way design (Caswell 2001). LTRE is a retrospective analysis (Caswell 1989), beginning with data on the vital rates and on ? under two or more set...

Created: 2014-08-13

Credits: Maria Paula Balcazar-Vargas Jon Giddy Francisco Quevedo Gerard Oostermeijer

Simulate stochastic growth from a sequence... (1)

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The Simulate stochastic growth from a sequence of matrices Workflow provides an environment to simulate stochastic growth by projection using whole matrix selection techniques in an independently and identically distributed (iid) environment from a set of 2 or more projection matrices. This workflow is based on the popbio package (script: stoch.projection - Simulate stochastic growth from a sequence of matrices, Stubben, Milligan and Nantel, 2013) based on the The MATLAB code in Box 7.3 (Mo...

Created: 2014-07-30 | Last updated: 2014-08-14

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Francisco Quevedo Gerard Oostermeijer

Cohen’s cumulative distance (1)

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The Cohen’s cumulative distance Workflow provides an environment to calculate the Cohen’s cumulative distance. The Cohen’s cumulative distance measures the difference between observed and expected vectors along the matrix path that the population would take to reach the expected population vector. It is a function of both the observed stage distribution (n0) and the structure of the matrix (A) (Williams et al 2011). Cohen’s cumulative distance will not work for reducible matrices or imprimiti...

Created: 2014-07-23

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12 Matrix Population Model construction and analysis v20

Keyfitz delta (1)

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The Keyfit delta Workflow provides an environment to calculate the Keyfit delta value. Keyfitz’s delta is a measure of the distance between any two probability vectors (Keyfitz 1968). In this case is a measure of the distance between n (Observed Stage Distribution) and w (Stable Stage Distribution). The maximum value is 1 and the minimum value is 0 (when the vectors are identical). ============================================================ This workflow has been created by the Biodiversit...

Created: 2014-07-23

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12 Matrix Population Model construction and analysis v20

Stages vectors plots, Survival and Growth ... (2)

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The Stages vectors plots, Survival and Growth rate curves Workflow provides an environment to perform several analyses on a series of stage-matrices: - Survival values calculations per stage per year and its respective plot; - Growth rates (lambda) calculations per year and its respective plot; - Stage Vectors calculations and their respective plots. ====================================================== This workflow requires an instance of Rserve on localhost This workflow has been creat...

Created: 2014-07-02 | Last updated: 2014-08-29

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer

Damping ratio (2)

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The Damping ratio Workflow provides an environment to calculate the damping ratio of several matrices and plot them. The damping ratio can be considered as a measure of the intrinsic resilience of the population, describing how quickly transient dynamics decay following disturbance or perturbation regardless of population structure, the larger the p, the quicker the population converges. ============================================================= This workflow requires an instance of Rse...

Created: 2014-06-25 | Last updated: 2014-07-25

Credits: Maria Paula Balcazar-Vargas Mikolaj Krzyzanowski Jon Giddy Gerard Oostermeijer

Parametric Bootstrap or Resample a project... (3)

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The Parametric Bootstrap or Resample a projection matrix Workflow provides an environment to resample a projection matrix using a multinomial distribution for transitions and a log normal distribution for fertilities (Stubben, Milligan, and Nantel. 2011). The resample is based on number of plants surveyed. The projection matrix A is first split into separate transition and fertility matrices. Dead fates are added to the transition matrix and the columns are then sampled from a Multinomial dis...

Created: 2014-06-18 | Last updated: 2014-07-25

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model analysis v12