NCEAS Data Group, Switzerland (data supplied and prepared by Niklaus E. Zimmermann, Thomas Wohlgemuth and Meinrad Abegg, Catherine Graham, Jane Elith).
2019
NCEAS Data Group: Switzerland
1
database
NA
NCEAS St. Barbara (https://osf.io/kwc4v/; https://github.com/rspatial/disdat/blob/master/README.md)
NCEAS, Elith et al. (2006, 2020)
See publications affiliated with NCEAS and this dataset.
NA
This data set contains distribution data of 40 tree species for Switzerland. It was compiled and used for the NCEAS working group, project ID: 4980, as described in Elith et al. (2006, 2020). The project compiled data for 6 regions in the world, for a total of 226 anonymised species including birds, vascular plants, reptiles and bats. Each data set has presence-only (and optionally background) training data to build models, and presence/absence data to evaluate models. This is one of those 6 datasets.
Full details about the data are provided in Elith et al 2006, 2020; this metadata statement gives key details.
The mean number of records per species is 1,170 for presence-only records, and 810 for the presence/absence dataset of 10,013 sites. For modeling purposes, this tree data set was complemented with 13 predictor variables.
Data are provided as an R package, .csv files (species data and environmental samples) and also as .tif raster files (environmental data) with a cell size of 100m.
This dataset about 30 anonymised tree species of Switzerland is provided as a proper description of ISO-compliant FGDC open access data for research purposes. It is expected that the data are valuable for benchmark assessments of modeling methods and evaluation approaches. This metadata set complements several research publications in the NCEAS working group, most recently Elith et al. (2006, 2020).
Unknown
Unknown
publication date
None planned
Switzerland18.752423.202646.020044.04081
193
4643
meters
None
Tree data
Switzerland
NCEAS Working Group
Modeling
Prediction
None
Switzerland
Suisse
None
1920s
1930s
1940s
1950s
1960s
1970s
1980s
1990s
None
multiple species
single species
collection
plants
None
None
Authors, NCEAS Data group
NA
Unclassified
NA
.csv files, .tif files, R package
Can be used for model predictions, e.g. maxent, machine learning and many others; details see Elith et al. (2006, 2020)
As published by authors
Logically consistent
Complete as received
See details including source publications in Elith et al. 2006, 2020
Field
None
Plant surveys
Forest Inventory
Presence/absence
GIS
Model
Data were collected prior to 2002. They were received from data holder then cleaned and process in GIS and R (statistical software) ready for modeling, as described in Elith et al. (2006, 2020).
Elith et al. (2006, 2020)
Unknown
Elith, J., Graham, C.H., Anderson, R.P., Dudík, M., Ferrier, S., Guisan, A., Hijmans,R.J., Huettmann, F., Leathwick, J.R., Lehmann, A., Li, J., Lohmann, L.G., Loiselle,B.A., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J.McC., Peterson,A.T., Phillips, S.J., Richardson, K.S., Scachetti-Pereira, R., Schapire, R.E., Soberón, J.,Williams, S., Wisz, M.S., Zimmermann, N.E., 2006. Novel methods improve predictionof species’ distributions from occurrence data. Ecography 29: 129–151.
Elith, J., Graham, C.H., Valavi, R., Abegg, M., Bruce, C., Ford, A., Guisan, A., Hijmans, R.J., Huettmann, F., Lohmann, L.G., Loiselle, B.A., Moritz, C., Overton, J.McC., Peterson, A.T., Phillips, S., Richardson, K., Williams, S., Wiser, S.K., Wohlgemuth, T. & Zimmermann, N.E. (2020) Presence-only and presence-absence data for comparing species distribution modeling methods. Biodiversity Informatics 15: 69-80
20200701
NCEAS working group
1
tabular digital data
https://osf.io/kwc4v/; https://github.com/rspatial/disdat/blob/master/README.md
paper
Unknown
Unknown
publication date
NCEAS Data Group: Swisstzerland
Author contributions detailed in Elith et al. (2006, 2020).
Elith et al. (2006, 2020)
Unknown
Location names
Point
0.0001
0.0001
Meters
CH1903
Bessel 1841 (EPSG:21781)
6377397.155
299.1528128
North American Vertical Datum of 1988
meters
Forest Inventory Tree and Plant
Tree data
Data originator
Latitude
Coordinate
Originator
Longitude
Coordinate
Originator
Species Name
Bird Species presence
Originator
This data set consist of 30 anonymised tree species and their 13 predictor columns.
Elith et al. (2006, 2020)
See authors for specific data contribution and inquire with lead author for details
Data file
NA
ASCII
No compression applied
Call or email
None
GIS and computer
20200716
Falk Huettmann
Uni of Alaska Fairbanks
FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
FGDC-STD-001.1-1999