R/constants.R

In Geographie-cites/corpusminer-package: Corpus Miner

paletteCybergeo <- c("#1C6F91", "#df691a", "#77c5ba", "orange", "#2db92d", "#e1ff2f", "#ff2313", "#bbab61")

pattern_list <- c("espace", "territoire", "environnement", "société", "réseau", "interaction",
                  "aménagement", "urbanisme", "carte", "modèle", "système", "SIG", "fractale", "durabilité",
                  "représentation", "migration", "quantitatif", "qualitatif", "post-moderne")

semanticcolors <- c(
  "complex systems" = rgb(204,0,255,maxColorValue=255),
  "health" =   rgb(255,102,0,maxColorValue=255), 
  "crime" =  rgb(255,102,0,maxColorValue=255),
  "statistical methods" =  rgb(255,153,0,maxColorValue=255),
  "remote sensing" =  rgb(0,204,102,maxColorValue=255),
  "political sciences/critical geography" =  rgb(255,0,0,maxColorValue=255),
  "traffic modeling" = rgb(153,153,0,maxColorValue=255),
  "microbiology"=  rgb(102,204,0,maxColorValue=255),
  "cognitive sciences" =  rgb(0,255,255,maxColorValue=255),
  "spatial analysis" =  rgb(255,255,0,maxColorValue=255),
  "GIS" =  rgb(51,102,255,maxColorValue=255),
  "biogeography" =  rgb(51,255,51,maxColorValue=255),
  "environnment/climate" =  rgb(0,102,0,maxColorValue=255),
  "economic geography" =  rgb(0,0,255,maxColorValue=255),
  "physical geography"= rgb(102,51,0,maxColorValue=255)
)