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At what stage of the species distribution modelling to standardize variables and check for collinearity

I try to model the distribution (ecological niche) of a species using a generalized linear model (glm() in R) based on several climatic variables and then apply the ...
ABC's user avatar
  • 183
2 votes
0 answers
96 views

Dealing with Underdispersion in Poisson Regression (GLM) with count data as a response variable

Related to glm() in R, I am working with count data (number of mammal species on islands) and following statistical theory, I have fitted a ...
ykk's user avatar
  • 21
0 votes
0 answers
37 views

glmmTMB for non-regression ecological count data?

Study design: I am analyzing ecological count data for fish in a pre-existing database with observations of fish species abundances(zero_filled). Each species were recorded at a site twice a month of ...
user390865's user avatar
0 votes
0 answers
62 views

Can I ignore high multicollinearity in a proportional binomial GLM from a fully factorial experimental design dataset?

I am running proportional binomial GLMs with 2 factors (Test Salinity and Region) but I am running into an issue with high multicollinearity. The reason for this is because this is a lab experiment ...
Darby's user avatar
  • 1
1 vote
0 answers
103 views

Need some advice in selection of GAM model - choosing family, etc

I am not a statistician (clearly) and am trying to wrangle environmental data. My data looks like (note data is on time scale - 1 = Day 1, 650 = Day 30: I am developing a GAM model which predicts the ...
rvaducks's user avatar
1 vote
1 answer
441 views

Binomial GLM for attracting large mammal from presence/absence data

This is my first post here so I apologise if it is formatted incorrectly or missing key info. I need a little bit of help/direction with interpreting R results for a project. Basic premise of project ...
user19732476's user avatar
1 vote
0 answers
104 views

How to compare trend of two different datasets?

I have two different datasets (ID 1 and 2) which show the number of animals per hectare for each year. I need to know if the trend for the first periode is different then the trend for the second ...
Anne's user avatar
  • 11
1 vote
1 answer
168 views

When does a group specific dispersion parameter for the negative binomial distribution make sense?

If you have overdispersed observed abundance of multiple species including zero inflation the negative binomial distribution seems to be a reasonable choice. But if some species occur much more ...
Hans Jürgen's user avatar
8 votes
1 answer
2k views

Which link function could be used for a glm where the response is per cent (0 - 100%)?

I am thinking about building a model (glm) where the response variable (y) is the cover (in per cent) of a plant species in a defined area, dependant of environmental variables. However, I don't think ...
parallax's user avatar
  • 195
4 votes
1 answer
405 views

Best practice MLR vs GLM(M)

I am modelling timeseries of organism traits (7 different traits in total) using GLM(M)s in R. The data was collected at very irregular intervals and from 6 different locations. For every location 5-...
Globoquadrina's user avatar
1 vote
0 answers
63 views

Specifying model in mvabund - is GLMM an option?

I'm looking to use some of the packages in mvabund to do a fourth corner analysis and was wondering if I can use glmm within this package. Everything's been laid ...
Crow's user avatar
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1 vote
0 answers
863 views

extending BACI analysis to lme, glm

I am analyzing data from a BACI (before-after, control-impact) design. BACI analyses typically look for changes in the mean response before(B) and after(A) at control(C) and impact(I) sites, but I ...
DylanMG's user avatar
  • 11
2 votes
1 answer
104 views

What is the general process of choosing, confirming, and supporting the distribution used in a generalized linear model?

I am trying to better understand the process of choosing and validating a distribution for a generalized linear model (glm). I understand that for the most part, you can narrow it down to a few ...
Ryan's user avatar
  • 351
3 votes
1 answer
361 views

GLM on non-integer data

I'm looking for a recommendation on what GLM I could do with non-integer data. Brief background of what I am doing: I'm wanting to combine calculated herbivory rates with abundance data, to compare ...
Karolina Zarzyczny's user avatar
3 votes
1 answer
110 views

GLM with random factors for observational design

I would love your help: I have 50 houses where I have counted the number of Mosquito's eggs once a week for 4 months. I have 5 fixed factors (temperature, NDVI, precipitations, etc) and I want to add ...
Eugenia Sanchez's user avatar
1 vote
0 answers
35 views

Modelling resource selection in savanna ungulates

I am amidst an analysis of an 8 year data set that was collected from wildlife surveys over an 8 year period for my MSc thesis. 2 surveys were conducted each season for the three discernible seasons ...
Nebulloyd's user avatar
  • 293
2 votes
1 answer
2k views

Multiple testing (bonferroni?) with GLM

Hi everyone: I scored four mutually-exclusive behaviors (e.g. feeding, brooding, standing, preening) on a number of observations of birds in two different treatments, and two different nesting ...
SMM's user avatar
  • 101
1 vote
2 answers
346 views

What model(s) are appropriate for unbounded species abundance data with 0's and environmental response variables in R?

I am conducting a research project on the vegetation composition of an abandoned mine site to determine the environmental factors that influence species abundance (cover) and composition. Study ...
montanaplants's user avatar
0 votes
2 answers
867 views

is it possible to use a vector object a dependent variable in GLM?

I would like to write certain model in R. I would like to o use a vector object as a dependent variable in my general linear model. The model is supposed to explain how some environmental factors, ...
Jacek Bartlewicz's user avatar
5 votes
1 answer
229 views

Modelling % cover that do not add up to 100% : GLM distribution families

I have an experimental set-up that consists in studying the impact of diversity of plant mixtures on the development of invasive species. On each plot, we recorded the % cover of each species which ...
Guillaume A2's user avatar
1 vote
0 answers
165 views

Family in GLM - how to choose the right one? [duplicate]

When modeling data sampled in the field, I often come across the problem of determining the Family of the dependend variable for GLM (or GLMM). An example: in an ecological study, I have ~ 60 patches. ...
yenats's user avatar
  • 447
1 vote
2 answers
589 views

What distribution to use for response variable which is a ratio of counts (that are not independent) where it can be >1?

I have two sets of counts, bat passes and feeding buzzes. A feeding buzz is not independent of a bat pass. In a single bat pass, there can be multiple feeding buzzes. My response variable is buzz ...
Michelle's user avatar
1 vote
0 answers
173 views

Generalized linear mixed model with time lags

I'm attempting to understand how random variables and one fixed variable are influencing an animal population over time. The trouble I am having is that my population density estimates were only ...
Krystal R.'s user avatar
3 votes
0 answers
1k views

Plotting results from a GLM in R [closed]

I'm a complete novice when it comes to stats, so my question may not even be relevant. I have been using the glm() function in R to model a response variable (bird species) versus predictor variables (...
Lisa's user avatar
  • 31
2 votes
2 answers
6k views

Interpreting output of dredge function

I need find which is the best model / variables for explaining the species richness of Coleoptera in Hawaii islands. This is the input: ...
ATomás's user avatar
  • 23
4 votes
1 answer
290 views

Multivariate Analysis of Ecological Data: Procrustes analyses or GLM?

I have a dataset containing 6 variables (vegetation cover in percent) and the number of species found in 30 areas. I would like to test if the different vegetation covers explain species richness. ...
GoldFire's user avatar
  • 141
10 votes
1 answer
19k views

Interpreting output of dredge

I ran a GLM for the first time in R and am not sure how to interpret the result. This is the input: ...
GoldFire's user avatar
  • 141
2 votes
1 answer
3k views

GLM - which probability distribution to use for abundance data?

I'm fitting a generalized linear model to try to understand how the abundance of a species of freshwater fish varies in response to some environmental variables. I'm using the AIC to choose between ...
Rui's user avatar
  • 41
18 votes
4 answers
28k views

Interpreting random effect variance in glmer

I'm revising a paper on pollination, where the data are binomially distributed (fruit matures or does not). So I used glmer with one random effect (individual plant)...
jwb4's user avatar
  • 313
1 vote
1 answer
1k views

Validity of stepwise regression in DistLM

I have a set of nutrient fluxes data and I would like to know which environmental drivers explains the fluxes. I used DistLM and the marginal test showed that none ...
Linda Au's user avatar
1 vote
1 answer
105 views

Basic question about getting esimated probabilities in R

I've got what I think is a fairly basic problem. I'm not sure if it is a conceptual question or software question, but I'm fairly new to using R and these kinds of stats, so it could be either or both....
chrysoparia's user avatar
7 votes
2 answers
1k views

Population model to model year to year dynamics

My task is to assess how various environmental variables affect annual population fluctuations. For this, I would use a model like: $$ \mbox{log} ( \mu_{i,j+1} ) = \mbox{log} ( \mu_{i,j} ) + R_{j} + \...
Tomas's user avatar
  • 6,187
7 votes
1 answer
5k views

Species Richness, Dominance and Diversity Differences

I have collected 70 organisms from 4 different sites; two sites of treatment 1 and two sites of treatment 2. I also have a continuous explanatory variable (average temperature) which is different ...
Platypezid's user avatar
  • 1,267