search for: zooplankton

Hi, I am trying to run a 1D nutrient-phytoplankton-zooplankton model in R using the package 'deSolve'. The code is shown below: DEPTH = seq(2.5, 147.5, 5) NPZ = function(t, state, params){ with(as.list(params), { P <- state[1:NB] Z <- state[(NB + 1): (2*NB)] N <- state[(2*NB + 1): (3*NB)] F.I = function(z, hr){...

Hello, I am currently trying to show the abundance of two species of zooplankton within the North Sea as pie chart bubble plots. I followed Werner Wernersen's advice in R help (http://finzi.psych.upenn.edu/R/Rhelp02a/archive/48644.html) and used Paul Murrell's paper "Integrating Grid Graphics Output with Base Graphics Output" (in R News) to try and do this (us...

...ext horizontally on the right side. I do not understand why facet_grid plotted it this way for me. Why? I would also like to change the text in the legend of this plot. I have tried several solutions including: scale_fill_discrete(guide = guide_legend(), labels=c("cyanobacteria", "zooplankton")) scale_fill_discrete(name="organism", breaks=c("cyano", "seston"), labels=c("cyanobacteria", "seston")) for some reason nothing works. Ideas? mydata <- data.frame( D15N = c(runif(100, min...

...0.000000 Phytoplankton Zooplankton Grazing Rate Constant for Group 1 (1/day)...

...nguage to see how it works and maybe implement this kind of cluster of cluster analysis. Does anyone knows if there is an algorithm that does this? Actually I did it by hand and got very good and meaningful results, but I want to implement it to try another merging criterias. Thanks Diego Pujoni Zooplankton Ecology Laboratory Biological Sciences Institute Federal University of Minas Gerais Brazil

Hello R users, I'm working with a time-series of several years and to analyze it, I?m using GAM smoothers from the package mgcv. I?m constructing models where zooplankton biomass (bm) is the dependent variable and the continuous explanatory variables are: -time in Julian days (t), to creat a long-term linear trend -Julian days of the year (t_year) to create an annual cycle - Mean temperature of Winter (temp_W), Temperature of September (temp_sept) or Chla. Question...

Hi, I've been looking for Image Processing packages. Thresholding, Edge Filters, Dct, Segmentation, Restoration. I'm aware, that Octave, Matlab etc. would be a good address but then I'm missing the "statistical power" of R. Does anybody know of packages, projects etc. Comments on wether the use of R for such matters is useful are welcome. Greetings Thomas Kaliwe

Does anybody know of any R functions to perform chronological clustering as explained in: Legendre, P., S. Dallot & L. Legendre. 1985. Succession of species within a community: chronological clustering, with applications to marine and freshwater zooplankton. American Naturalist 125: 257-288. http://www.fas.umontreal.ca/BIOL/legendre/reprints/succession_of_species.pdf Thanks, Angel

Dear users I am fitting a Generalized Additive Mixed Models (gamm) model to establish possible relationship between explanatory variables (water temperature, dissolved oxygen and chlorophyll) and zooplankton data collected in the inner and outer estuarine waters. I am using monthly time-series which are auto-correlated. In the case of the inner waters, I have applied satisfactoryly (by ACF and PACF) an corAR1() as follows: gamm.zoo <- gamm(zoo~s(water.temperature) + s(dissolved.oxygen) + s(...

...ysis and will quantify their interaction with higher predators, especially commercial fishes, via stomach content data and evacuation rate models. These analyses will draw upon multiple existing datasets, including: stomach content data collected during stock assessment surveys (1973-present); zooplankton net surveys (1977-present); bottom trawl surveys (1973-present); and other fishery-independent surveys. This is a two-year position and comes with discretionary funds for travel ($5k/year) and equipment ($2.5k). Requirements/Education: - PhD in fish ecology, fisheries oceanography, fisheries, o...

I have some images of bugs (insects) with many bugs in each image. I want to count the number of bugs and to have an estimate of the area of each one. I've tried searching for an R package to do so with no success. Is this a task that I should pursue doing in R or should I restrict myself to specific image analysis software (e.g. ImageJ)?. The reason I consider R would be a good choice is

Hello, I have been trying to get an ANOVA table for a linear model containing a single nested factor, two fixed factors and a covariate: carbonmean<-lm(C.Mean~ Mean.richness + Diversity + Zoop + Diversity/Phyto + Zoop*Diversity/Phyto) where, *Mean.richness* is a covariate*, Zoop* is a categorical variable (the species), *Diversity* is a categorical variable (Low or High), and

...Is? Here they are: > >> > >>1) I am the instigator and main programmer of ZooImage > >>(http://www.sciviews.org/zooimage/), an Open Source system combining > >>ImageJ and R (mainly) to provide a complete numerical image analysis > >>system for automating zooplankton samples processing. In the R side, > >>image measurements gathered by ImageJ are analyzed with the > powerfull > >>machine learning algorithms implemented in R (like random forest, > >>bundling, ...). After analysis of several samples, they > usually form a > &...