R/data.R

In akondrashov96/rusmaps: Maps of Russia for visualisation of spatial data

#' Russian cities with population of over 1 million
#'
#' The dataset contains names, population and coordinates of Russian cities with population greater than 1 million.
#'
#' @format A SpatialPointsDataFrame object with 15 points with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{city name}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"cities"

#' Administrative regions of Voronezh city
#'
#' The dataset contains names, population (as of 2010) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 6 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2010}{population in 2010, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Voronezh"

#' Administrative regions of Nizhniy Novgorod city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 8 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Novgorod"

#' Administrative regions of Novosibirsk city
#'
#' The dataset contains names, population (as of 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 10 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Novosibirsk"

#' Administrative regions of Omsk city
#'
#' The dataset contains names, population (as of 2010) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 5 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2010}{population in 2010, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Omsk"

#' Administrative regions of Perm city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 9 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Perm"

#' Administrative regions of Rostov-na-Donu city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 8 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Rostov"

#' Administrative regions of Samara city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 9 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Samara"

#' Administrative regions of Saint-Petersburg city
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 18 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"StPetersburg"

#' Administrative regions of Ufa city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Ufa"

#' Administrative regions of Chelyabinsk city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Chelyabinsk"

#' Administrative regions of Moscow city
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 12 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Moscow"

#' Administrative regions of Krasnoyarsk city
#'
#' The dataset contains names, population (as of 2010) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2010}{population in 2010, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Krasnoyarsk"

#' Administrative regions of Kazan city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Kazan"

#' Administrative regions of Ekaterinburg city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Ekaterinburg"

#' Administrative regions of Volgograd city
#'
#' The dataset contains names, population (as of 2015) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 8 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  }
#' @source Obtained with QGIS using OpenStreetMap data. Data tables were customized. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Volgograd"

#' Federal districts of Russia
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 8 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"rus_fd_nc"

#' Federal districts of Russia
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions (+Crimea Federal District).
#'
#' @format A SpatialPolygonsDataFrame object with 9 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry, to add Crimea Federal District and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"rus_fd"

#' Federal subjects of Russia
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions (+Crimea Federal District).
#'
#' @format A SpatialPolygonsDataFrame object with 85 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry, to add Crimea Federal District and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"rus_sub"

#' Federal subjects of Russia
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 83 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"rus_sub_nc"

#' Far Eastern Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 9 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"DFO"

#' Crimea Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 2 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from OpenStreetMap. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"KFO"

#' Volga Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 14 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"VFO"

#' North-Western Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 11 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"NWFO"

#' North-Caucasus Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 7 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"NCFO"

#' Siberia Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 12 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"SFO"

#' Ural Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 6 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"UFO"

#' Central Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 18 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"CentralFO"

#' Southern Federal District
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 6 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{f_distr}{Federal district the region belongs to}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"SouthFO"

#' Khabarovsk region municipal districts and Khabarovsk city districts
#'
#' The dataset contains names, population (as of 2015 and 2016) and administrative level of included regions.
#'
#' @format A SpatialPolygonsDataFrame object with 24 polygons with following attibutes:
#' \describe{
#'  \item{id}{custom id assigned}
#'  \item{name}{region name}
#'  \item{admin_lvl}{administrative level of the region}
#'  \item{pop_2015}{population in 2015, according to Rosstat}
#'  \item{pop_2016}{population in 2016, according to Rosstat}
#'  }
#' @source Obtained from GISLAB. QGIS was used to simplify geometry and to customize data table. Population data retrieved from Rosstat. MapData(c)OpenStreetMap
"Khabarovsk"

#' Maps in rusmaps package
#'
#' The dataset contains map names (how they can be called), a brief descrtiption, format and relevance date.
#'
#' @format A DataFrame object with 30 rows and following attibutes:
#' \describe{
#'  \item{map_name}{name of dataset containing a map}
#'  \item{description}{what the dataset contains}
#'  \item{format}{format of dataset}
#'  \item{date}{relevance date}
#'  }
#' @source Compiled from existing data.
"rusmaps.dataframe"