Entering weather covariates into MARK

questions concerning analysis/theory using program MARK

Entering weather covariates into MARK

Postby DSU » Mon Jul 02, 2012 3:52 pm

I am looking to know how to input weather covariates into MARK to analyze their effects on overall survival.

I am looking to analyze the non-breeding season survival rate of 75 radio-tagged northern bobwhites. There were 37 encounter intervals that ranged in time from 1-7 days. I have already run a baseline temporal survival model using a know fate-analysis. Now I need to estimate the weather-related effects on survival. I would like to analyze how certain weather covariates (temperature, snow-depth, duration of snow fall, temp.+snow depth, etc.) influenced overall survival rates and if these models have a better overall fit than the baseline temporal model. The problem is I do not know where/how to enter this weather data into MARK. I am new to using MARK, so any help is greatly appreciated.
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Re: Entering weather covariates into MARK

Postby jlaufenb » Mon Jul 02, 2012 4:04 pm

Give the Gentle Intro to Program MARK a thorough read. In particular, chapter 6. The first hit of a text search for "weather" returns:

"However, suppose, for example, you want to build a model where annual variation in survival is ‘related’ to some weather variable. How would you construct a model where survival was constrained to be a function of ‘weather’? The concept of “constraints”, and how to use them to apply linear models to MARK, is one of the most important and powerful extensions of what we have covered so
far.",

which is the second paragraph of that chapter.
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Re: Entering weather covariates into MARK

Postby cooch » Mon Jul 02, 2012 4:32 pm

jlaufenb wrote:Give the Gentle Intro to Program MARK a thorough read.


...which can be found here: http://www.phidot.org/software/mark/docs/book/

In particular, chapter 6. The first hit of a text search for "weather" returns:

"However, suppose, for example, you want to build a model where annual variation in survival is ‘related’ to some weather variable. How would you construct a model where survival was constrained to be a function of ‘weather’? The concept of “constraints”, and how to use them to apply linear models to MARK, is one of the most important and powerful extensions of what we have covered so
far.",

which is the second paragraph of that chapter.


Given the level of your question (or, my best guess as to same), I'd suggest reading (carefully) chapters 1 -> 6. Then, have a longer look at chapter 2 (which covers data formatting), chapter 6 (which as noted goes over how you build linear models in MARK), and then (further down the road) , chapter 16 (which covers known-fate analysis).
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