[R-sig-eco] Package to analyse population time series (trend analysis)

[Manuel Spínola]

Thank you very much to both.

I analyzing counts of flying Ara macaw over a bridge.  I could have the
data for 2 more sites, but essentially is one site.  There are monthly
counts, but I am planning to use the maximum count for each year.  These
are not census data, only counts with imperfect detection.  My goal is to
do a trend analysis for those counts, of course I know the limitation of
the data and I know that  the biological interpretation of the results will
be challenging.

Best,

Manuel



2016-10-19 12:05 GMT-06:00 Philippi, Tom <tom_philippi at nps.gov>:

> Manuel--
> The proper package depends entirely on what your data are: how many sites
> you collect counts for, whether those sites are a probability sample over
> an area or the only locations you are making inferences about (e.g., census
> counts), whether those counts have Poisson error, overdispersion (e.g.,
> aggregation) or zero-inflation (e.g., extra 0s from bad weather or bad
> sites), imperfect detection, marked individuals, whether you expect a
> linear or only monotonic trend, whether you have covariates that vary by
> year (e.g., annual precipitation or winter NINO3.4), or or other aspects I
> haven't yet dealt with.
>
> A bit more information about what you have in terms of data, and about the
> questions you are interested within the broad definition of "trend" might
> get you informed answers.
>
> Tom 2
>
>
>
> On Wed, Oct 19, 2016 at 5:47 AM, Manuel Spínola <mspinola10 at gmail.com>
> wrote:
>
>> Dear list members,
>>
>> What is the appropriate package to analyze population time series (trend
>> analysis) when you have one count per year.
>>
>> Best,
>>
>> Manuel
>>
>> --
>> *Manuel Spínola, Ph.D.*
>> Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> Universidad Nacional
>> Apartado 1350-3000
>> Heredia
>> COSTA RICA
>> mspinola at una.cr <mspinola at una.ac.cr>
>> mspinola10 at gmail.com
>> Teléfono: (506) 8706 - 4662
>> Personal website: Lobito de río <https://sites.google.com/site
>> /lobitoderio/>
>> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>>
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>
>
>


-- 
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspinola at una.cr <mspinola at una.ac.cr>
mspinola10 at gmail.com
Teléfono: (506) 8706 - 4662
Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>

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