serengeti: Serengeti dataset
In spatialwarnings: Spatial Early Warning Signals of Ecosystem Degradation
serengeti R Documentation
Serengeti dataset
Description
Vegetation data along a rainfall gradient in Serengeti national
park.
Usage
serengeti
serengeti.rain
Format
A list of logical matrices
The annual rainfall corresponding to the matrices in the serengeti
dataset, in the corresponding order.
Details
The data-set consists of a rectangular area of size 7.5 km x 90 km.
These data are represented as a list of matrices. Each matrix is a moving
window of 7.5 km x 7.5 km which moves my 2.5 km along the length of the
rectangular data-set.
Each entry in the matrix is vegetation data at a resolution of 30m as
classified into binary units with FALSE (grass) and TRUE (forest).
The rainfall data provided here is the average rainfall (mm/yr) of a
moving window of dimension 7.5km which moves my 2.5 km along the length
of the rectangular data-set.
Source
Extracted from Eby's et al (2017) supplementary material
https://github.com/tee-lab/spacetime-csd/
References
Eby, S., Agrawal, A., Majumder, S., Dobson, A.P. & Guttal, V. (2017).
Alternative stable states and spatial indicators of critical slowing down
along a spatial gradient in a savanna ecosystem: Global Ecology
and Biogeography, 26, 638-649
Reed, D. N., Anderson, T. M., Dempewolf, J., Metzger, K., & Serneels, S. (2009).
The spatial distribution of vegetation types in the Serengeti ecosystem:
the influence of rainfall and topographic relief on vegetation patch
characteristics. Journal of Biogeography, 36(4), 770-782.
spatialwarnings documentation built on Sept. 11, 2024, 8:55 p.m.
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| serengeti | R Documentation |
Serengeti dataset
Description
Vegetation data along a rainfall gradient in Serengeti national park.
Usage
serengeti
serengeti.rain
Format
A list of logical matrices
The annual rainfall corresponding to the matrices in the serengeti dataset, in the corresponding order.
Details
The data-set consists of a rectangular area of size 7.5 km x 90 km. These data are represented as a list of matrices. Each matrix is a moving window of 7.5 km x 7.5 km which moves my 2.5 km along the length of the rectangular data-set.
Each entry in the matrix is vegetation data at a resolution of 30m as classified into binary units with FALSE (grass) and TRUE (forest). The rainfall data provided here is the average rainfall (mm/yr) of a moving window of dimension 7.5km which moves my 2.5 km along the length of the rectangular data-set.
Source
Extracted from Eby's et al (2017) supplementary material https://github.com/tee-lab/spacetime-csd/
References
Eby, S., Agrawal, A., Majumder, S., Dobson, A.P. & Guttal, V. (2017). Alternative stable states and spatial indicators of critical slowing down along a spatial gradient in a savanna ecosystem: Global Ecology and Biogeography, 26, 638-649
Reed, D. N., Anderson, T. M., Dempewolf, J., Metzger, K., & Serneels, S. (2009). The spatial distribution of vegetation types in the Serengeti ecosystem: the influence of rainfall and topographic relief on vegetation patch characteristics. Journal of Biogeography, 36(4), 770-782.
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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