I am using the following instructions to read a TIGER/Line gdb into R.
The first commands work correctly and print out the feature classes:
fgdb <- "ACS_2014_5YR_BG_48_TEXAS.gdb"
subset(ogrDrivers(), grepl("GDB", name))
fc_list = ogrListLayers(fgdb)
print(fc_list)
[1] "ACS_2014_5YR_BG_48_TEXAS" "BG_METADATA_2014"
[3] "X00_COUNTS" "X01_AGE_AND_SEX"
[5] "X02_RACE" "X03_HISPANIC_OR_LATINO_ORIGIN"
[7] "X07_MIGRATION" "X08_COMMUTING"
[9] "X09_CHILDREN_HOUSEHOLD_RELATIONSHIP" "X11_HOUSEHOLD_FAMILY_SUBFAMILIES"
[11] "X12_MARITAL_STATUS_AND_HISTORY" "X14_SCHOOL_ENROLLMENT"
[13] "X15_EDUCATIONAL_ATTAINMENT" "X16_LANGUAGE_SPOKEN_AT_HOME"
[15] "X17_POVERTY" "X19_INCOME"
[17] "X20_EARNINGS" "X21_VETERAN_STATUS"
[19] "X22_FOOD_STAMPS" "X23_EMPLOYMENT_STATUS"
[21] "X24_INDUSTRY_OCCUPATION" "X25_HOUSING_CHARACTERISTICS"
[23] "X27_HEALTH_INSURANCE" "X99_IMPUTATION"
attr(,"driver")
[1] "OpenFileGDB"
attr(,"nlayers")
[1] 24
However, when I try to import specific feature classes, the following error occurs:
> X01 = readOGR(dsn=fgdb,layer="X01_AGE_AND_SEX")
Error in readOGR(dsn = fgdb, layer = "X01_AGE_AND_SEX") :
no features found
In addition: Warning message:
In ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv, :
ogrInfo: all features NULL
These feature classes do not contain geometry data, which may be why there are no features found.
Is there workaround to read non-geometry feature classes into R from a gdb file ? The only solution I've found so far is to use GDAL command line tools to export the feature class to csv which would then be read into R, but I would like to cut out this middle step.
ogr2ogr -f CSV output.csv ACS_2014_5YR_BG_48_TEXAS.gdb X01_AGE_AND_SEX
