Hi all,
I’m trying to combine snow leopard’s telemetry data with camera trapping data by following secr-telemetry.pdf.
My input data are as follows:
Telemetry data input (example) (file name= te.csv)
|
Session |
ID |
Occasion |
X |
Y |
|
1 |
7 |
1 |
589016 |
3052965 |
|
1 |
7 |
2 |
588916 |
3052875 |
|
1 |
13 |
1 |
588918 |
3052883 |
|
1 |
13 |
2 |
588916 |
3052874 |
|
1 |
4 |
1 |
589010 |
3052973 |
|
1 |
4 |
2 |
593561 |
3053625 |
|
1 |
4 |
3 |
593569 |
3049035 |
|
1 |
5 |
1 |
595696 |
3049438 |
|
1 |
5 |
2 |
598960 |
3052654 |
|
1 |
5 |
3 |
569353 |
3066356 |
Camera trapping data input (examples)
Trap file (file name= trap.csv)
|
Detector |
X |
Y |
||||||
|
1 |
598960 |
3052654 |
0 |
1 |
1 |
1 |
1 |
1 |
|
2 |
569353 |
3066356 |
1 |
1 |
1 |
1 |
0 |
0 |
|
3 |
566963 |
3060337 |
0 |
1 |
1 |
1 |
0 |
0 |
Capture file (file name= capture.csv)
|
Session |
ID |
Occasion |
Detector |
|
1 |
1 |
3 |
2 |
|
1 |
1 |
2 |
2 |
|
1 |
2 |
4 |
3 |
|
1 |
2 |
5 |
3 |
|
1 |
3 |
2 |
1 |
|
1 |
3 |
5 |
1 |
|
1 |
4 |
4 |
3 |
|
1 |
4 |
6 |
1 |
I used following codes
trap<-read.csv("D:/Documents/ trap.csv")
capture<-read.csv("D:/Documents/capture.csv")
trCH<- read.capthist("capture.csv", "trap.csv", detector="proximity", fmt= "trapID", noccasion=60)
teCH<-read.telemetry("D:/Documents/te.csv")
My two queries are as follows:
combinedCH<-addTelemetry(trCH, teCH, type = "concurrent", collapsetelemetry= TRUE)
Error in `covariates<-`(`*tmp*`, value = rbind(covariates(detectionCH),
length of covariate does not match
I haven’t kept any covariates so I’m quite confused here.
Thank you so much in advance, will look forward for your valuable inputs,
Apologies if I couldn’t explain you nicely,
Best wishes,
Samundra
Hi everyone,
With no intention of bothering anyone, was just wondering if my concern could be enlightened.
I would be very grateful if my queries could be answered (email below).
With best intentions,
--------------------------------------------------------------------------------------------------------------------------------------------------
Samundra Ambuhang Subba, Research Officer, WWF Nepal
P.O Box 7660 | Baluwatar, Kathmandu
Tel: +977 1 4434820- Ext. 024| Fax: +977 1 4438458
2. How good it is to use fixed value for sigma of initialsigma value while running secr.fit model: secr.fit(trCH, fixed = list(sigma=7500))? The initial sigma value of teCH object was 7500.
Thank you so much in advance, will look forward for your valuable inputs,
Apologies if I couldn’t explain you nicely,
Best wishes,
Samundra
--
You received this message because you are subscribed to the Google Groups "secr" group.
To unsubscribe from this group and stop receiving emails from it, send an email to
secrgroup+...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
Hi Nathan,
Thank you so much for your inputs. I have multisession telemetry data so I'm worried if ms.capthist can work. The snow leopards were collared in 4 years interval and the data were kind of in successive sequence (e.g ID-1 had data from 2014-2015 and ID-2 had data from 2016-2017 and the camera trap survey was conducted for 60 days in the summer of 2017).
I'm trying to use oSCR package to combine these data with the help of Chris and Daniel, let see what will come out of it.
Best wishes,
Samundra