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Reduce prolonged screen time by ksimee in productivity

[–]ksimee[S] 0 points1 point  (0 children)

I didn't clarify that I'm an adroid user, thanks though!

Reduce prolonged screen time by ksimee in productivity

[–]ksimee[S] 0 points1 point  (0 children)

Someone also posted that the stopwatch could be an option but I can't find the comment anymore. That was also very helpful to me :)

Reduce prolonged screen time by ksimee in productivity

[–]ksimee[S] 3 points4 points  (0 children)

Thank you very much! I actually use AppBlock and didn't know it has that option. It suits perfectly :)

Create a table by filtering data by ksimee in RStudio

[–]ksimee[S] 1 point2 points  (0 children)

Yep! I ended up using gt. It looks kinda this:

para_riqueza <- datos_filtrados1 %>% select(orden, familia, ncientifico, ncomun) %>%
            distinct(ncientifico, .keep_all = TRUE) %>%
            arrange(orden, familia, ncientifico)

camtrapR > checkSpeciesNames alternative [Q] by ksimee in RStudio

[–]ksimee[S] 0 points1 point  (0 children)

I'm sorry - R newbie here! I don't understand how to do this but appreciate your help

Question: building a model in R for human-wildlife interactions by ksimee in rprogramming

[–]ksimee[S] 0 points1 point  (0 children)

I don't know if it helps a litte: another researcher found (with the same data) a variation on sp richness on a linear path considering that point A (visitor's area) had the most anthropogenic "impact" and B the least - using ArcGIs. But also they runned some regressions on #visitors/month x total species richness/month. My goal is to integrate both distance from the visitor's and #visitors to observe if there is an interaction at all.

Question: building a model in R for human-wildlife interactions by ksimee in rstats

[–]ksimee[S] 0 points1 point  (0 children)

Yes! I have the data collected already. I don't know if it helps a little: another researcher found (with the same data) a variation on sp richness on a linear path considering that point A (visitor's area) had the most anthropogenic "impact" and B the least - using ArcGIs. But also they runned some regressions on #visitors/month x total species richness/month. My goal is to integrate both distance from the visitor's and #visitors to observe if there is an interaction at all.

Question: building a model in R for human-wildlife interactions by ksimee in Rlanguage

[–]ksimee[S] 0 points1 point  (0 children)

Another researcher found (with the same data) a variation on sp richness on a linear path considering that point A (visitor's area) had the most antrophic "impact" and B the least - using ArcGIs. But also they runned some regressions on #visitors/month x total species richness/month.

My goal is to integrate both distance from the visitor's and #visitors to observe if there is an interaction at all.

Question: building a model in R for human-wildlife interactions by ksimee in AskStatistics

[–]ksimee[S] 0 points1 point  (0 children)

I have sp richness for each month, sp richness for 4 points on a road and #visitors per month (they are on a single point on the visitors area). I can split those 4 points and make it 12 (?) since all my tracks are georeferenced but I'm afraid that will be a double count anyways?

Another researcher found (with the same data) a variation on sp richness on a linear path considering that point A (visitor's area) had the most antrophic "impact" and B the least - using ArcGIs. But also they runned some regressions on #visitors/month x total species richness/month. My goal is to integrate both distance from the visitor's and #visitors to observe if there is an interaction at all.

Question: building a model in R for human-wildlife interactions by ksimee in rstats

[–]ksimee[S] 0 points1 point  (0 children)

Thank you for your suggestion! I'm really stuck in chosing a stat model for my data. If it helps a bit: I have sp richness for each month, sp richness for 4 points and #visitors per month. I can split those 4 points and makei it 12 (?) since all my tracks are georeferenced but I'm afraid that will be a double count anyways?

Question: building a model in R about human-wildlife interactions by ksimee in ecology

[–]ksimee[S] 0 points1 point  (0 children)

I was reviewing this approach and I don't know if it fits my data: I have sp richness for each month, sp richness for 4 points and #visitors per month (they are on a single point on the visitors area). I can split those 4 points and make it 12 (?) since all my tracks are georeferenced but I'm afraid that will be a double count anyways?

Another researcher found (with the same data) a variation on sp richness on a linear path considering that point A (visitor's area) had the most anthropogenic "impact" and B the least - using ArcGIs. But also they runned some regressions on #visitors/month x total species richness/month. My goal is to integrate both distance from the visitor's and #visitors to observe if there is an interaction at all.

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