sample_cov_data: Sample projection covariates three variables across for...

In dynamicSDM: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution

Sample projection covariates three variables across for southern Africa.

Description

Data frame of co-ordinates and associated dynamic explanatory variable values for "2018-04-01" cropped to southern Africa at 2 degree resolution.

Usage

sample_cov_data

Format

A data frame with 225 rows and 6 variables

X

row name

x

grid cell longitude

y

grid cell latitude

eight_sum_prec

sum Climate Hazards Group InfraRed Precipitation With Station Data (Funk et al., 2015) total daily precipitation at record co-ordinate across 52-weeks prior to "2018-04-01" (mm).

grass_crop_percentage

total number of MODIS Land Cover Type Yearly 500m (Friedl et al., 2019) "cereal cropland" and "grassland" cells in surrounding area of record co-ordinate in 2018.

year_sum_prec

sum Climate Hazards Group InfraRed Precipitation With Station Data (Funk et al., 2015) total daily precipitation at record co-ordinate across 52-weeks prior to "2018-04-01" (mm).

References

Friedl, M., Sulla-Menashe, D. (2019). MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006. NASA EOSDIS Land Processes DAAC. Accessed 2022-11-24 from

Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell & Joel Michaelsen. "The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes". Scientific Data 2, 150066.

dynamicSDM documentation built on June 28, 2024, 5:08 p.m.