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03_newZealand.R
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# ----
# title : build census database - nzstat, nzgeo
# description : this script integrates data of 'Stats NZ' (stats.govt.nz), 'NZ Geographic Data Service' (https://datafinder.stats.govt.nz/)
# license : https://creativecommons.org/licenses/by-sa/4.0/
# authors : Steffen Ehrmann
# date : 2024-06-06
# version : 1.0.0
# status : done
# comment : archived data (pdfs etc): https://cdm20045.contentdm.oclc.org/digital?page=1, how to find old data not (yet) on the new website: https://www.stats.govt.nz/about-us/stats-nz-archive-website/
# ----
# geography : New Zealand
# spatial : Nation, Regional Council, Territorial Authority
# period : 1990 - 2022
# variables :
# - land : hectares_covered
# - crops : -
# - livestock : number_heads
# - tech : -
# - social : -
# sampling : survey
# ----
thisNation <- "New Zealand"
ds <- c("nzstat")
gs <- c("nzGeo")
# 1. dataseries ----
#
regDataseries(name = ds[1],
description = "Stats NZ",
homepage = "stats.govt.nz",
version = "2023.12",
licence_link = "unknown")
regDataseries(name = gs[1],
description = "NZ Geographic Data Service",
homepage = "https://datafinder.stats.govt.nz/",
version = "2023.12",
licence_link = "unknown")
# 2. geometries ----
#
regGeometry(al1 = !!thisNation,
gSeries = gs[1],
label = list(al2 = "REGC2023_V1_00_NAME"), # REGional Council
archive = "statsnz-regional-council-2023-clipped-generalised-GPKG.zip|regional-council-2023-clipped-generalised.gpkg",
archiveLink = "https://datafinder.stats.govt.nz/layer/111181-regional-council-2023-clipped-generalised/",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
overwrite = TRUE)
regGeometry(al1 = !!thisNation,
gSeries = gs[1],
label = list(al3 = "TA2023_V1_00_NAME"), # Territorial Authority
archive = "statsnz-territorial-authority-2023-clipped-generalised-GPKG.zip|territorial-authority-2023-clipped-generalised.gpkg",
archiveLink = "https://datafinder.stats.govt.nz/layer/111204-statistical-area-3-2023-clipped-generalised/",
updateFrequency = "annual",
downloadDate = ymd("2019-10-10"),
overwrite = TRUE)
normGeometry(pattern = gs[1],
beep = 10)
# 3. tables ----
#
if(build_crops){
## crops ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "horticulture",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2002,
end = 2022,
archive = "Horticulture by Regional Council.gz|TABLECODE7422_Data_5695fc2d-78c0-4bec-a65a-9fda3fbb4a93.csv",
archiveLink = "https://nzdotstat.stats.govt.nz/wbos/index.aspx",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://nzdotstat.stats.govt.nz/wbos/index.aspx")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2006,
end = 2007,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|ag-prod-final-jun-07-tables1.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2011,
end = 2012,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agprod-finaljun12-tables.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2015,
end = 2016,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|aps-jun16-final-tables.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2016,
end = 2017,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agricultural-production-statistics-jun17-final-tables-v2.xlsx",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2017,
end = 2018,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agricultural-production-statistics-june-18-final.xlsx",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2018,
end = 2019,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agricultural-production-statistics-june-2019-final.xlsx",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2019,
end = 2020,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agricultural-production-statistics-june-2020-final.xlsx",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
regTable(al1 = !!thisNation,
label = "al2",
subset = "grain",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_default,
begin = 2021,
end = 2022,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|agricultural-production-statistics-year-to-June-2022-final.xlsx",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
normTable(pattern = ds[1],
ontoMatch = "crop",
beep = 10)
}
if(build_livestock){
## livestock ----
schema_nzstat_livestock <-
setFormat(na_values = c("..", "..C", "..S", "-")) %>%
setIDVar(name = "al1", value = "New Zealand")
schema_nzstat_livestock_detailed <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "animal", columns = 2) %>%
setIDVar(name = "year", columns = .find(fun = is.numeric, row = 2), rows = 2) %>%
setObsVar(name = "number_heads", columns = .find(fun = is.numeric, row = 2), top = 3)
regTable(al1 = !!thisNation,
label = "al3",
subset = "detailedLivestock",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_detailed,
begin = 1990,
end = 1996,
archive = "AGR075601_20231109_055606_21.csv",
archiveLink = "https://infoshare.stats.govt.nz/Default.aspx",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://infoshare.stats.govt.nz/Default.aspx")
schema_nzstat_livestock_totals <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al2", columns = 1) %>%
setIDVar(name = "animal", columns = 2) %>%
setIDVar(name = "year", columns = .find(fun = is.numeric, row = 2), rows = 2) %>%
setObsVar(name = "number_heads", columns = .find(fun = is.numeric, row = 2), top = 3)
regTable(al1 = !!thisNation,
label = "al2",
subset = "totalsLivestock",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_totals,
begin = 1990,
end = 2022,
archive = "AGR075701_20231109_055917_49.csv",
archiveLink = "https://infoshare.stats.govt.nz/Default.aspx",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://infoshare.stats.govt.nz/Default.aspx")
# # ignored because detailed classes are not needed for now and totals are with more time steps in the previous table
# regTable(al1 = !!thisNation,
# label = "al2",
# subset = "detailedLivestock",
# dSeries = ds[1],
# gSeries = gs[1],
# schema = schema_default,
# begin = 2002,
# end = 2022,
# archive = "Livestock Numbers by Regional Council.gz|TABLECODE7423_Data_997a98ba-6950-4239-8b95-a83665f3a589.csv",
# archiveLink = "", # where this table can be found online
# updateFrequency = "",
# nextUpdate = "",
# metadataPath = "",
# metadataLink = "")
schema_nzstat_livestock_poultry <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(3, 5, 7, 9), rows = 5) %>%
setObsVar(name = "number_heads", columns = c(3, 5, 7, 9), top = 8)
regTable(al1 = !!thisNation,
label = "al3",
subset = "poultry",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_poultry,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|2-poultry-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
schema_nzstat_livestock_deer <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(3, 5, 7, 9, 11), rows = 6) %>%
setObsVar(name = "number_heads", columns = c(3, 5, 7, 9, 11), top = 9)
regTable(al1 = !!thisNation,
label = "al3",
subset = "deer",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_deer,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|4-deer-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
schema_nzstat_livestock_pigs <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(3, 5, 7, 9), rows = 6) %>%
setObsVar(name = "number_heads", columns = c(3, 5, 7, 9), top = 8)
regTable(al1 = !!thisNation,
label = "al3",
subset = "pigs",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_pigs,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|4-pigs-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
schema_nzstat_livestock_sheep <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 2, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(2, 4, 6, 8, 10, 12, 14, 16, 18, 19), rows = 6) %>%
setObsVar(name = "number_heads", columns = c(2, 4, 6, 8, 10, 12, 14, 16, 18, 19), top = 8)
regTable(al1 = !!thisNation,
label = "al3",
subset = "sheep",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_sheep,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|4-sheep-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
schema_nzstat_livestock_cattleBeef <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 2, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(2, 4, 6, 8, 9, 10, 11, 13, 14, 16, 18, 19, 21), rows = 6) %>%
setObsVar(name = "number_heads", columns = c(2, 4, 6, 8, 9, 10, 11, 13, 14, 16, 18, 19, 21), top = 8)
regTable(al1 = !!thisNation,
label = "al3",
subset = "cattleBeef",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_cattleBeef,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|5-beef-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
schema_nzstat_livestock_cattleDairy <- schema_nzstat_livestock %>%
setFilter(rows = .find(is.na, col = 3, invert = TRUE)) %>%
setIDVar(name = "al3", columns = 1) %>%
setIDVar(name = "year", value = "2002") %>%
setIDVar(name = "animal", columns = c(3, 5, 7, 9, 11, 13), rows = 7) %>%
setObsVar(name = "number_heads", columns = c(3, 5, 7, 9, 11, 13), top = 9)
regTable(al1 = !!thisNation,
label = "al3",
subset = "cattleDairy",
dSeries = ds[1],
gSeries = gs[1],
schema = schema_nzstat_livestock_cattleDairy,
begin = 2001,
end = 2002,
archive = "Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip|5-dairy-territorial.xls",
archiveLink = "https://www.stats.govt.nz/assets/Uploads/Agricultural-production-statistics/Agricultural-Production-Statistics-key-tables-from-APS-2002-2017.zip",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://www.stats.govt.nz/large-datasets/csv-files-for-download")
normTable(pattern = ds[1],
ontoMatch = "animal",
beep = 10)
}
if(build_landuse){
## landuse ----
regTable(al1 = !!thisNation,
label = "al2",
subset = "forest",
dSeries = ds[1],
gSeries = gs[1],
schema = ,
begin = 2001,
end = 2018,
archive = "Forestry by Regional Council.gz|TABLECODE7421_Data_039451bd-1495-4fc4-a4e3-df4fedf398df",
archiveLink = "https://nzdotstat.stats.govt.nz/wbos/index.aspx",
updateFrequency = "unknown",
downloadDate = ymd("2019-10-10"),
metadataPath = "",
metadataLink = "https://nzdotstat.stats.govt.nz/wbos/index.aspx")
normTable(pattern = ds[1],
ontoMatch = "use",
beep = 10)
}