KGC Data Resolution Example

In kgc: Koeppen-Geiger Climatic Zones

Two differing resolutions of climate zone data have been included in this package.

These can be accessed with the parameter res in the RoundCoordinates() and LookupCZ() functions.

Resolution Details

• Course Resolution

  • Distance between data points, both latitude and longitude, is 0.5 degrees.

  • Latitude and longitude values are rounded to the nearest value ending in either 0.25 and 0.75.

• Fine Resolution

  • Distance between data points, in both latitude and longitude, is 100 seconds.

  • Data originates from a 12960 x 6480 pixel image, and coordinates are rounded to the center coordinates of the nearest pixel.

Example

• An selection of example cities worldwide, and their reported climate zones from Wikipedia, have been included in this package in the dataframe kgcities.

• Estimated climate zones for each city from both course and fine resolution datasets are queried, and results are shown in tabular format.

library("kgc")
print(head(kgcities))

  # Query Course Resolution
  data <- data.frame(kgcities, rndCoord.lon = RoundCoordinates(kgcities$lon), rndCoord.lat = RoundCoordinates(kgcities$lat))
  data <- data.frame(data,CZ.c=LookupCZ(data))
  colnames(data)[which(colnames(data)=='rndCoord.lon')] <- 'rndCoord.lon.course'
  colnames(data)[which(colnames(data)=='rndCoord.lat')] <- 'rndCoord.lat.course'

  # Query Fine Resolution
  data <- data.frame(data, rndCoord.lon = RoundCoordinates(kgcities$lon,res='fine',latlong='lon'), rndCoord.lat = RoundCoordinates(kgcities$lat,res='fine',latlong='lat'))
  data <- data.frame(data,CZ.f=LookupCZ(data,res='fine'))

  # Print Results
  print(data[,c(1,3,8,11)])

kgc documentation built on May 2, 2019, 1:47 p.m.