join an mpm-estimated behavioural index to ssm-predicted locations
join()
joins ssm-predicted locations and mpm-estimated behavioural index into a single tibble. If the ssm-predicted tibble is a projected sf object then the output of join will also be an sf object (default). This can be avoided by using as_sf = FALSE
.
join(ssm, mpm, what.ssm = "predicted", as_sf = TRUE)
ssm |
a |
mpm |
a |
what.ssm |
specifies whether ssm |
as_sf |
logical; if FALSE then return a tibble with un-projected lonlat coordinates, otherwise return an sf tibble |
a single tbl with all individuals
## load example foieGras fit objects (to save time) ## generate a fG_ssm fit object xs <- fit_ssm(sese2, spdf=FALSE, model = "rw", time.step=72, control = ssm_control(se = FALSE, verbose = 0)) data(xm) ## join predicted values as an un-projected tibble xsm <- join(xs, xm, as_sf = FALSE) xsm
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