FAOSTAT_metadata
-#> Error in eval(expr, envir, enclos): object 'FAOSTAT_metadata' not found
+#> function (code = NULL)
+#> {
+#> FAOxml <- XML::xmlParse(xml2::read_xml("http://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.xml"))
+#> metadata <- XML::xmlToDataFrame(FAOxml, stringsAsFactors = FALSE)
+#> names(metadata) <- tolower(gsub("\\.", "_", names(metadata)))
+#> metadata["CB" == metadata[, "datasetcode"], "filelocation"] <- "https://fenixservices.fao.org/faostat/static/bulkdownloads/CommodityBalances_(non-food)_E_All_Data_(Normalized).zip"
+#> if (!is.null(code)) {
+#> metadata <- metadata[code == metadata[, "datasetcode"],
+#> ]
+#> }
+#> return(metadata)
+#> }
+#> <bytecode: 0x000000004680b240>
+#> <environment: namespace:gcamdata>
FF_check_count_plot.RdFF_check_count_plot: count item_code and area_code by year
+FF_check_count_plot(.DF, .ELEMENT = c())Input data frame
A set of elements (in Char) to focus. If empty, all elements are summarized
A plot summarizing the time-series of changing the count of item_code and area_code (grouped by element).
+FF_join_checkmap.RdFF_join_checkmap: full-join data frames by a common COL_by variable to checking mapping
+FF_join_checkmap(DFs, COL_by, COL_rename)Data frames to be full joined.
By variable in join.
Other common variables to rename (by adding df names as prefix) before the join.
A joined data frame
+Trade will be removed if world total export or import over production is smaller than .MIN_TRADE_PROD_RATIO (1
-.Reg_VARRegion variable name; default is ("area_code")
-.GROUP_VARGroup variable; default is ("item_code", "year")
.Reg_VARRegion variable name; default is area_code
+.GROUP_VARGroup variable; default is item_code and year
The same dataframe with balanced world export and import.
diff --git a/docs/reference/index.html b/docs/reference/index.html index 393cded7..f964a517 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -174,10 +174,6 @@extract_prebuilt_data()
extract_prebuilt_data
FAOSTAT_check_count_plot: count item_code and area_code by year
fast_left_join()
Fast left join for large tables
FF_check_count_plot: count item_code and area_code by year
FF_FILL_NUMERATOR_DENOMINATOR Fill in missing values considering relationship between two variables
FF_join_checkmap: full-join data frames by a common COL_by variable to checking mapping
module_aglu_L100.FAO_SUA_PrimaryEquivalent()
module_aglu_L100.FAO_SUA_PrimaryEquivalent
module_xfaostat_L401_Fertilizer
module_xfaostat_L301_LandCover()
module_xfaostat_L301_LandCover
module_xfaostat_L401_Fertilizer
Connect datasets to build SUA
other optional parameters, depending on command
An input dataframe with an element col including Import and Export
Trade will be removed if world total export or import over production is smaller than .MIN_TRADE_PROD_RATIO (1
-.Reg_VARRegion variable name; default is ("area_code")
-.GROUP_VARGroup variable; default is ("item_code", "year")
Depends on command: either a vector of required inputs, a vector of output names, or (if
- command is "MAKE") all the generated outputsThe same dataframe with balanced world export and import.
Scale gross export and import in all regions to make them equal at the world level.
- - -Connect datasets to build SUAThis chunk compiles balanced supply utilization data in primary equivalent in GCAM region and commodities.
- - -XZ 2023 -Balance gross trade
- - +Depends on command: either a vector of required inputs, a vector of output names, or (if
command is "MAKE") all the generated outputs
This chunk compiles balanced supply utilization data bu connecting FAO datasets.
+module_xfaostat_L401_Fertilizer.Rdprocess FAOSTAT forestry data (FO) into gcamdata inputs
+module_xfaostat_L401_Fertilizer(command, ...)API command to execute
other optional parameters, depending on command
Depends on command: either a vector of required inputs, a vector of output names, or (if
command is "MAKE") all the generated outputs
This chunk compiles balanced supply utilization data in primary equivalent in GCAM region and commodities.
+IF TRUE