Is it possible to estimate population density from line transect encounter data with no distance metric, simply frequency of encounter data?

I want to assess the habitat occupancy of a small species in a habitat. What should I collect as field data to assess its habitat occupancy?

Hello spatial analysis experts

Hope you're all good.

I need urgently the commands and R codes of performing spatial binomial regression in RStudio. Please if someone has already worked on it, share the codes from start to end.

Thanks and regards

Dr. Sami

Hello! I would like to address the experts regarding a question about conducting a statistical analysis using only nominal variables. Specifically, I would like to compare the responses of survey participants answered the question whether they take certain medications "Yes" or "No", and analyze the data with different criteria such as education level, economic status, marital status, etc. I have conducted a Chi-squared test to determine if there is a significant difference between the variables, but now I would like to compare the answers of whether or not this medicine is taken depending on each group, for example in the education variable (higher, secondary, vocational and basic education). Is there a statistical test similar to Tukey's test that is suitable for nominal variables? I would also like to know if it is possible to create a column chart with asterisks above the columns indicating the significant differences between them based on this test for nominal variables.

I usually use Statistica StatSoft and R studio. But none of my attempts to do post-hoc for nominal variables analysis on any of them were successful. In R studio I tried pairwise.prop.test(cont_table, p.adjust.method = "bonferroni")

But I got an error:

Error in pairwise.prop.test(cont_table, p.adjust.method = "bonferroni") :

'x' must have 2 columns

I assume that this is due to the fact that I have groups in one of the variables and not two.

What should I do?

Thank you in advance for your help!

Peer reviewing is interesting and I find it helpful for professional development.

Im submitting a partial seq in BANKIT and its stucked at the step of "feature" where its mentioned to add nucleotide interval spans. what kind of intervals are they? need guidance

I have been struggling with this concept for a very long time. To calculate the total magnification provided by any digital microscope we generally multiply all the individual magnifications (objective, ocular, coupler/adapter, and the video/on-screen magnification). But currently, I'm working on an in-house developed system and I'm trying to match the magnification to that of a traditional microscope so when I modify the distance between the sensor and the objective lens, my total magnification obviously changes. How do I calculate the total magnification here since the above formula isn't suitable for this case?

ps. not using any ocular here, a coupler lens is also optional.

I am working with count data (count of organisms surviving after different drugs), best fitted by the negative binomial distribution. I ran GLMM on the data and then used emmeans to estimate marginal means and perform pairwise comparisons to find the best-performing drugs. I now want to calculate standardized effect sizes to measure the effect of significantly better-performing drugs compared to control. However, I am skeptical about using Cohen's D, as my data is non-normal. My question is, what else can I use in this case? Or, perhaps, if I am already dealing with marginal means (estimated on the model, not the data) and have compared them with Tukey, am I safe to use Cohen's d measure?

Hello colleagues, in the coming months I will be investigating the presence of drills (Mandrillus leucophaeus) in an area where they have not been seen for years (Pico Basilé Natural Park, Bioko, Equatorial Guinea). It is a rainforest, with altitudes of about 1000-2000 meters. Obviously, I have considered line transect surveys, as they have been widely used for estimating abundance of primate populations. However, there are some issues to consider.

1. It is a very steep area, which will prevent me from drawing completely straight transects.

2. I will perhaps not even find the species. Therefore, as it has been done with the species in other areas, indirect evidence such as fecal remains will be sought. I also thought it appropriate to incorporate signs of human activity into the data (cartridges, rubbish,...) as bushmeat hunting is the main cause of biodiversity loss on the island.

3. I will also have trap cameras, which I intended to strategically place in front of fig trees, a key food in the diet of the species.

I am just starting in the field. I have done fieldwork before, but related to other very different taxa in a very different environment. I've been checking the literature but still, I wanted to ask you to recommend me a study that has used similar methods (nonlinear transects), or that has considered fecal remains to assess the presence of a primate species (I don't even want to say density, because I do not know or if we find them). Or maybe some other publication that explains how to propose different sampling methods according to the field conditions, how to calculate the distance between transects, etc. Or any other key issues they deem appropriate to explain to me.

Thank you so much!