Workflows

Life Table Response Experiment year effect... (1)

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The Life Table Response Experiments Year Effect for Multiple Places workflow provides an environment to analyse two or more matrices (e.g., two or more matrices of different years from one place) at two or more different locations. The objective of this workflow is to determine the effects of the research years (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 ?...

Created: 2014-08-21

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

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

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

Bootstrap of observed census transitions. (3)

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This workflow calculates bootstrap distributions of population growth rates (?), stage vectors, and projection matrix elements by randomly sampling with replacement from a stage-fate data frame of observed transitions. The goal of a demographic analysis is very often to estimate lambda, because lambda is estimated from imperfect data, such estimation are uncertain. Therefore, when the results have policy implications it is important to quantify that uncertainty. Confidence interval is one of ...

Created: 2012-11-05 | Last updated: 2014-07-24

Credits: Maria Paula Balcazar-Vargas Jon Giddy Gerard Oostermeijer

Attributions: Matrix Population Model construction and analysis v20 Stage Matrix of Gentiana pneumonanthe 1987-88