Workflows

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

Biome-BGC MCE 1.4.1 (4)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Exp...

Created: 2013-06-04 | Last updated: 2014-10-04

Credits: Ferenc HORVATH Zoltan BARCZA Dora Krasser Peter Ittzes BioVeL

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