Bats3: The third Bats dataset
In courtiol/LM2GLMM: Data science for biologists: Generalized linear modelling with R
Bats3 R Documentation
The third Bats dataset
Description
The dataset describes the vocal activity of Noctule bats in autumn time in
Eastern Ukraine. Not long ago, bats were migrating to the south
to get food before hibernation, but now they stay where they were born for
hibernation and become sedentary. The goal is to understand which
environmental variables predict their level of activity (the column "calls"
which contain a number of recorded calls which bats emit in flight at the
site) and the probability of feeding (the column "buzz" represent 0 and 1 of
presence/absence of specific feeding calls, which confirm feeding activity at
the site). However, the data could be zero-inflated and yet the probability
of buzz usually will be related to the presence of vocal activity first.
Usage
Bats3
Format
A data frame with 70 rows and 21 variables:
- Site
the ID of recording site
- lat
the latitude
- long
the longitude
- date
the date of recording
- temp
the temperature in C
- cloud
cloudiness in parts (max 1)
- precip
0 or 1 of rain (usually 0 as we won't expect bat activity during the rain)
- light
categorical variable 0,1,2,3 where 0 absolute absence of artificial light and 3 full illumination
- time
the time of recording
- calls
the number of recorded calls of Noctule bat
- buzz
0 and 1 of feeding buzzes
- eser
the number of calls of another bat species Serotine bat
- pkuhl
the number of calls of another bat species Kuhl's pipistrelle
- farm
the area of farmland
- green
the area of vegetation coverage
- road
the area of roads
- urban
the area of urban coverage
- water
the area of water
- ndvi_mean
the NDVI index mean for the plot
- ndvi_SD
the standard deviation of NDVI index for plot
- time_rel
the number of hours since the first collection
Details
Land type use categories are given in square meters within plots of 1 km radius around recording points.
Source
Data collected by Kseniia Kravchenko, UIEI Ukraine
courtiol/LM2GLMM documentation built on July 3, 2022, 7:42 a.m.
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| Bats3 | R Documentation |
The third Bats dataset
Description
The dataset describes the vocal activity of Noctule bats in autumn time in Eastern Ukraine. Not long ago, bats were migrating to the south to get food before hibernation, but now they stay where they were born for hibernation and become sedentary. The goal is to understand which environmental variables predict their level of activity (the column "calls" which contain a number of recorded calls which bats emit in flight at the site) and the probability of feeding (the column "buzz" represent 0 and 1 of presence/absence of specific feeding calls, which confirm feeding activity at the site). However, the data could be zero-inflated and yet the probability of buzz usually will be related to the presence of vocal activity first.
Usage
Bats3
Format
A data frame with 70 rows and 21 variables:
- Site
the ID of recording site
- lat
the latitude
- long
the longitude
- date
the date of recording
- temp
the temperature in C
- cloud
cloudiness in parts (max 1)
- precip
0 or 1 of rain (usually 0 as we won't expect bat activity during the rain)
- light
categorical variable 0,1,2,3 where 0 absolute absence of artificial light and 3 full illumination
- time
the time of recording
- calls
the number of recorded calls of Noctule bat
- buzz
0 and 1 of feeding buzzes
- eser
the number of calls of another bat species Serotine bat
- pkuhl
the number of calls of another bat species Kuhl's pipistrelle
- farm
the area of farmland
- green
the area of vegetation coverage
- road
the area of roads
- urban
the area of urban coverage
- water
the area of water
- ndvi_mean
the NDVI index mean for the plot
- ndvi_SD
the standard deviation of NDVI index for plot
- time_rel
the number of hours since the first collection
Details
Land type use categories are given in square meters within plots of 1 km radius around recording points.
Source
Data collected by Kseniia Kravchenko, UIEI Ukraine
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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