lasrosas: Yield and Fertilizer in Las Rosas farm (Argentina) (1999 and...
In spatialanalysis/geodaData: Spatial Analysis Datasets for Teaching

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Yield data and Nitrogen fertilizer treatment with field characteristics for Las Rosas farm, Rio Cuarto, Cordoba, Argentina, 1999 and 2001. Use list2env(lasrosas, .GlobalEnv) to unlist in working environment. The data consist of a list of two objects:

lasrosas99 A spatial points object of class sf Dataframe with information from 1999.
lasrosas01 A spatial points object of class sf Dataframe with information from 2001.

lasrosas

lasrosas99 includes points with 1,738 rows, 34 variables, and a geometry column. lasrosas01 includes points with 1,705 rows, 26 variables, and a geometry column:

ID: Identifier
TOP2: Topography dummy, Slope E
TOP3: Topography dummy, Hilltop
TOP4: Topography dummy, Slope W
NXTOPz: Interaction Nitrogen and topography zone (z: from 2 to 4)
LONGITUDE: Longitude
LATITUDE: Latitude
OBS: Observation number
YIELD: Corn yield (quintals per hectare)
N: Nitrogen fertilizer application (kg per hectare)
N2: Nitrogen squared
TOPO: Zone: Low E (1), Slope E (2), Hilltop (3), Slope W (4)
BV: Brightness value (proxy for low organic matter content)
BV2: Brightness squared
NXBV: Interaction Nitrogen - brightness
BVXT2z: Interaction brightness and topographic zone (z: from 2 to 4)
BV2XTz: Interaction squared brightness and topographic zone (z: from 2 to 4)
SAT (99): Red to NIR ratio (proxy for low organic matter content)
SAT2 (99): SAT squared
NXSAT (99): Interaction Nitrogen - Red to NIR ratio
SATXTz (99): Interaction Sat - topographic zone (z: from 2 to 4)
SAT2XTz (99): Interaction Sat squared - topographic zone (z: from 2 to 4)

List of two Sf objects, unprojected. The CRS of lasrosas99 is EPSG 4326: WGS84. The data lasrosas99 has an undefined Coordinate Reference System.

Rodolfo Bongiovanni, Instituto Nacional de Tecnologia Agropecuaria (INTA), Manfredi, Cordoba, Argentina, (rodolfo_bongiovanni@yahoo.com)

## Unlist in Global environment
library(geodaData)
data(lasrosas)
list2env(lasrosas, environment())
ls()


## if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(lasrosas1)

  plot(lasrosas[[1]]["SAT2"])
}