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03_canada.R
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03_canada.R
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# ----
# title : build census database - statcan
# description : this script integrates data of 'Statistics Canada' (https://www.statcan.gc.ca/eng/start)
# license : https://creativecommons.org/licenses/by-sa/4.0/
# authors : Steffen Ehrmann
# date : 2024-06-09
# version : 1.0.0
# status : done
# comment : census for 2011, 2016, 2021 at level 4; other material: overview of land use, tenure and management https://www150.statcan.gc.ca/n1/pub/95-634-x/2017001/article/54903-eng.htm, land tenure https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210023401, greenhouse database https://www.statcan.gc.ca/en/lode/databases/odg, 2001 agricultural census at fine spatial level (but available only in html) https://www150.statcan.gc.ca/n1/pub/95f0301x/4151237-eng.htm
# ----
# geography : Canada
# spatial : Nation, Province, Census Division, Census Consolidated Subdivisions
# period : 1921 - 2021
# variables :
# - land : hectares_covered
# - crops : hectares_harvested
# - livestock : number_heads, colonies
# - tech : -
# - social : -
# sampling : survey, census
# ----
thisNation <- "Canada"
# source(paste0(mdl0301, "src/preprocess_statcan.R"))
ds <- c("statcan")
gs <- c("statcan")
# 1. dataseries ----
#
regDataseries(name = ds[1],
description = "Statistics Canada",
homepage = "https://www.statcan.gc.ca/eng/start",
version = "2023.12",
licence_link = "https://www.statcan.gc.ca/eng/reference/licence")
# 2. geometries ----
#
regGeometry(al1 = !!thisNation, # provinces/territories
gSeries = gs[1],
label = list(al2 = "PRENAME"),
archive = "lpr_000b21a_e.zip|lpr_000b21a_e.shp",
archiveLink = "https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/files-fichiers/lpr_000b21a_e.zip",
downloadDate = ymd("2019-10-10"),
updateFrequency = "unknown")
# regGeometry(al1 = !!thisNation, # census agricultural regions
# gSeries = gs[1],
# label = list(al2 = "CARENAME"),
# archive = "lcar000b21a_e.zip|lcar000b21a_e.shp",
# archiveLink = "https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/files-fichiers/lcar000b21a_e.zip",
# updateFrequency = "unknown")
regGeometry(al1 = !!thisNation, # census divisions
gSeries = gs[1],
label = list(al3 = "CDNAME"),
archive = "lcd_000b21a_e.zip|lcd_000b21a_e.shp",
archiveLink = "https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/files-fichiers/lcd_000b21a_e.zip",
downloadDate = ymd("2019-10-10"),
updateFrequency = "unknown")
regGeometry(al1 = !!thisNation, # census consolidated subdivisions
gSeries = gs[1],
label = list(al4 = "CCSNAME"),
archive = "lccs000b21a_e.zip|lccs000b21a_e.shp",
archiveLink = "https://www12.statcan.gc.ca/census-recensement/2021/geo/sip-pis/boundary-limites/files-fichiers/lccs000b21a_e.zip",
downloadDate = ymd("2019-10-10"),
updateFrequency = "unknown")
normGeometry(pattern = gs[1],
beep = 10)
# 3. tables ----
#
schema_statcan <-
setIDVar(name = "al1", value = "Canada") %>%
setIDVar(name = "al2", columns = .find(pattern = "al2", row = 1)) %>%
setIDVar(name = "year", columns = .find(pattern = "REF_DATE", row = 1))
schema_statcan_census <- schema_statcan %>%
setIDVar(name = "method", value = "census") %>%
setIDVar(name = "al3", columns = .find(pattern = "al3", row = 1), split = "^(.*),[^,]*$") %>%
setIDVar(name = "al4", columns = .find(pattern = "al4", row = 1), split = "^(.*),[^,]*$")
schema_statcan_survey <- schema_statcan %>%
setIDVar(name = "method", value = "survey")
if(build_crops){
## crops ----
schema_statcan01 <- schema_statcan %>%
setIDVar(name = "crop", columns = .find(pattern = "Selected crops", row = 1)) %>%
setObsVar(name = "hectares_harvested", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Hectares")
### various crops (historic) ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "censusSelectedCropsHistoric",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan01,
begin = 1921,
end = 2021,
archive = "32100154-eng.zip|32100154.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100154-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100154_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210015401",
overwrite = TRUE)
### field crops and hay ----
schema_statcan_census01 <- schema_statcan_census %>%
setIDVar(name = "crop", columns = .find(pattern = "Hay and field crops", row = 1)) %>%
setObsVar(name = "hectares_harvested", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Hectares")
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusFieldCropsHay",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census01,
begin = 2011,
end = 2016,
archive = "32100416-eng.zip|32100416.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100416-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100416_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210041601",
overwrite = TRUE)
### principal crops ----
regTable(al1 = !!thisNation,
label = "al3",
subset = "principalCropsSmallArea",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1976,
end = 2022,
archive = "32100002-eng.zip|32100002.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100002-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100002_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210000201",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al2",
subset = "principalCrops",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1908,
end = 2023,
archive = "32100359-eng.zip|32100359.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100359-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100359_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210035901",
overwrite = TRUE)
### potatoes ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "potatoes",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1908,
end = 2023,
archive = "32100358-eng.zip|32100358.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100358-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100358_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210035801",
overwrite = TRUE)
### fruit ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyFruits",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1926,
end = 2022,
archive = "32100364-eng.zip|32100364.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100364-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100364_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210036401",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusFruit",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100417-eng.zip|32100417.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100417-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100417_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210041701",
overwrite = TRUE)
### vegetables ----
# regTable(al1 = !!thisNation,
# label = "al2",
# subset = "surveyVegetablesHistoric",
# dSeries = ds[1],
# gSeries = gs[1],
# schema = schema_default,
# begin = 1940,
# end = 1996,
# archive = "32100263-eng.zip|32100263.csv",
# archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100263-eng.zip",
# updateFrequency = "annual",
# downloadDate = ymd("2019-10-10"),
# metadataPath = "32100263_MetaData.csv",
# metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210026301",
# overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyVegetables",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1940,
end = 2022,
archive = "32100365-eng.zip|32100365.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100365-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100365_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210036501",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusVegetables",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100418-eng.zip|32100418.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100418-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100418_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210041801",
overwrite = TRUE)
### fruit and vegetables (organic) ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyFruitVegetablesOrganic",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2019,
end = 2022,
archive = "32100212-eng.zip|32100212.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100212-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100212_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210021201",
overwrite = TRUE)
### corn and soybean (gmo) ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "censusVegetables",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100042-eng.zip|32100042.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100042-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100042_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210004201",
overwrite = TRUE)
### greenhouse and mushrooms ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyGreenhouse",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1955,
end = 2022,
archive = "32100456-eng.zip|32100456.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100456-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100456_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210045601",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al2",
subset = "SurveyMushrooms",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 1964,
end = 2022,
archive = "32100356-eng.zip|32100356.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100356-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100356_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210035601",
overwrite = TRUE)
schema_statcan_shroom_hist <- schema_statcan %>%
setIDVar(name = "crop", columns = .find(pattern = "Selected crops", row = 1)) %>%
setObsVar(name = "hectares_harvested", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Hectares")
regTable(al1 = !!thisNation,
label = "al2",
subset = "censusGreenhouseMushroomsHistoric",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_shroom_hist,
begin = 1981,
end = 2021,
archive = "32100159-eng.zip|32100159.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100159-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100159_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210015901",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al2",
subset = "censusGreenhouseMushrooms",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100420-eng.zip|32100420.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100420-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100420_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042001",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusMushrooms",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2021,
end = 2021,
archive = "32100361-eng.zip|32100361.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100361-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100361_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210036101",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusGreenhouse",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2021,
end = 2021,
archive = "32100360-eng.zip|32100360.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100360-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100360_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210036001",
overwrite = TRUE)
### sod and nurseries ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyNuerseries",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2007,
end = 2022,
archive = "32100029-eng.zip|32100029.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100029-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100029_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210002901",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusSodNurseries",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100419-eng.zip|32100419.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100419-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100419_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210041901",
overwrite = TRUE)
# this is part of landuse in 2021
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusChristmastrees",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100421-eng.zip|32100421.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100421-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100421_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042101",
overwrite = TRUE)
### flowers ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "surveyFlowers",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2016,
end = 2022,
archive = "32100452-eng.zip|32100452.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100452-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100452_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210045201",
overwrite = TRUE)
normTable(pattern = ds[1],
ontoMatch = "crop",
beep = 10)
}
if(build_livestock){
## livestock ----
### other livestock ----
schema_statcan_survey_otherLivestock <- schema_statcan_survey %>%
setIDVar(name = "animal", columns = .find(pattern = "Selected livestock", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al2",
subset = "otherLivestock",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_otherLivestock,
begin = 1921,
end = 2021,
archive = "32100155-eng.zip|32100155.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100155-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100155_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210015501",
overwrite = TRUE)
schema_statcan_census_otherLivestock <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Other livestock", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "otherLivestock",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_otherLivestock,
begin = 2011,
end = 2016,
archive = "32100427-eng.zip|32100427.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100427-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100427_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210042701",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "otherLivestock",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_otherLivestock,
begin = 2021,
end = 2021,
archive = "32100373-eng.zip|32100373.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100373-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2023-10-10"),
metadataPath = "32100373_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210037301",
overwrite = TRUE)
### cattle ----
schema_statcan_survey_cattle <- schema_statcan_survey %>%
setFilter(rows = .find(pattern = "At July 1", col = 5)) %>%
setIDVar(name = "animal", columns = .find(pattern = "Livestock", row = 1)) %>%
setObsVar(name = "number_heads", factor = 1000, columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Farm type", row = 1), value = "On all cattle operations")
regTable(al1 = !!thisNation,
label = "al2",
subset = "cattle",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_cattle,
begin = 1931,
end = 2023,
archive = "32100130-eng.zip|32100130.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100130-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100130_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210013001",
overwrite = TRUE)
schema_statcan_census_cattle <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Cattle and calves", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "cattle",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_cattle,
begin = 2011,
end = 2016,
archive = "32100424-eng.zip|32100424.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100424-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100424_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042401",
overwrite = TRUE)
schema_statcan_census_cattle2 <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Cattle", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "cattle",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_cattle2,
begin = 2021,
end = 2021,
archive = "32100370-eng.zip|32100370.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100370-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100370_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210037001",
overwrite = TRUE)
### pigs ----
schema_statcan_survey_pig <- schema_statcan_survey %>%
setFilter(rows = .find(pattern = "At July 1", col = 5)) %>%
setIDVar(name = "animal", columns = .find(pattern = "Livestock", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1))
regTable(al1 = !!thisNation,
label = "al2",
subset = "pigs",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_pig,
begin = 2008,
end = 2023,
archive = "32100160-eng.zip|32100160.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100160-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100160_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210016001",
overwrite = TRUE)
schema_statcan_census_pigs <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Pigs", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "pigs",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_pigs,
begin = 2011,
end = 2016,
archive = "32100426-eng.zip|32100426.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100426-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100426_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042601",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "pigs",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_pigs,
begin = 2021,
end = 2021,
archive = "32100372-eng.zip|32100372.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100372-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100372_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210037201",
overwrite = TRUE)
### sheep ----
schema_statcan_survey_sheep <- schema_statcan_survey %>%
setFilter(rows = .find(pattern = "At July 1", col = 5)) %>%
setIDVar(name = "animal", columns = .find(pattern = "Livestock", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1))
regTable(al1 = !!thisNation,
label = "al2",
subset = "sheep",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_sheep,
begin = 1906,
end = 2023,
archive = "32100129-eng.zip|32100129.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100129-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100129_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210012901",
overwrite = TRUE)
schema_statcan_census_sheep <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Sheep and lambs", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "sheep",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_sheep,
begin = 2011,
end = 2016,
archive = "32100425-eng.zip|32100425.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100425-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100425_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042501",
overwrite = TRUE)
schema_statcan_census_sheep2 <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Sheep", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of animals")
regTable(al1 = !!thisNation,
label = "al4",
subset = "sheep",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_sheep2,
begin = 2021,
end = 2021,
archive = "32100371-eng.zip|32100371.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100371-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100371_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210037101",
overwrite = TRUE)
### poultry ----
schema_statcan_survey_poultry <- schema_statcan_survey %>%
setIDVar(name = "animal", columns = .find(pattern = "Commodity", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1))
regTable(al1 = !!thisNation,
label = "al2",
subset = "poultry",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_poultry,
begin = 1970,
end = 2023,
archive = "32100120-eng.zip|32100120.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100120-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100120_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210012001",
overwrite = TRUE)
schema_statcan_census_poultry <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Poultry inventory", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number of birds")
regTable(al1 = !!thisNation,
label = "al4",
subset = "poultry",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_poultry,
begin = 2011,
end = 2016,
archive = "32100428-eng.zip|32100428.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100428-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100428_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210042801",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "poultry",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_poultry,
begin = 2021,
end = 2021,
archive = "32100374-eng.zip|32100374.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100374-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100374_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210037401",
overwrite = TRUE)
### bees ----
schema_statcan_survey_bees <- schema_statcan_survey %>%
setIDVar(name = "animal", value = "bees") %>%
setObsVar(name = "colonies", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Estimates", row = 1), value = "Colonies")
regTable(al1 = !!thisNation,
label = "al2",
subset = "bees",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_bees,
begin = 1924,
end = 2022,
archive = "32100353-eng.zip|32100353.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100353-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataLink = "32100353_MetaData.csv",
metadataPath = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210035301",
overwrite = TRUE)
schema_statcan_census_bees <- schema_statcan_census %>%
setIDVar(name = "animal", columns = .find(pattern = "Bees", row = 1)) %>%
setObsVar(name = "colonies", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Unit of measure", row = 1), value = "Number")
regTable(al1 = !!thisNation,
label = "al4",
subset = "bees",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_bees,
begin = 2011,
end = 2016,
archive = "32100432-eng.zip|32100432.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100432-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100432_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210043201",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "bees",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_census_bees,
begin = 2021,
end = 2021,
archive = "32100378-eng.zip|32100378.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100378-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100378_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210037801",
overwrite = TRUE)
### mink, fox ----
schema_statcan_survey_mink <- schema_statcan_survey %>%
setIDVar(name = "animal", columns = .find(pattern = "Type of animal", row = 1)) %>%
setObsVar(name = "number_heads", columns = .find(pattern = "VALUE", row = 1),
key = .find(pattern = "Supply and disposition", row = 1), value = "On farms at December 31")
regTable(al1 = !!thisNation,
label = "al2",
subset = "minkFox",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_statcan_survey_mink,
begin = 1970,
end = 2020,
archive = "32100116-eng.zip|32100116.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100116-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100116_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210011601",
overwrite = TRUE)
normTable(pattern = ds[1],
ontoMatch = "animal",
beep = 10)
}
if(build_landuse){
## landuse ----
schema_statcan_landuse <-
setIDVar(name = "al2", columns = 2) %>%
setIDVar(name = "year", columns = 1) %>%
setIDVar(name = "use", columns = 4) %>%
setObsVar(name = "area", columns = 12)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusLanduse",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2016,
archive = "32100406-eng.zip|32100406.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100406-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100406_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210040601",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al4",
subset = "censusLanduse",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2021,
end = 2021,
archive = "32100249-eng.zip|32100249.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100249-eng.zip",
updateFrequency = "quinquennial",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100249_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210024901",
overwrite = TRUE)
### land under glass ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "greenhouseSpecialised",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2007,
end = 2022,
archive = "32100019-eng.zip|32100019.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100019-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100019_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210001901",
overwrite = TRUE)
regTable(al1 = !!thisNation,
label = "al2",
subset = "greenhouseTotal",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2007,
end = 2022,
archive = "32100018-eng.zip|32100018.csv",
archiveLink = "https://www150.statcan.gc.ca/n1/tbl/csv/32100018-eng.zip",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
metadataPath = "32100018_MetaData.csv",
metadataLink = "https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=3210001801",
overwrite = TRUE)
normTable(pattern = ds[1],
ontoMatch = "use",
beep = 10)
}