fix: inputs/NY/Ecatalog_all/map.csv, postprocess.sql: remapped substrate, vegetation to locationRemarks

bugfix: inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13*: also need to include coordinate pairs which have one of their coordinates NULL, by using OR instead of AND

bugfix: inputs/NY/validations.sql: _specimens_13b_list_of_all_decimal_lat_long: matched column types to output query

bugfix: inputs/NY/validations.sql: _specimens_13a_list_of_all_verbatim_lat_long: matched column types to output query

inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: added breakdowns _specimens_13a_list_of_all_verbatim_lat_long, _specimens_13b_list_of_all_decimal_lat_long to help troubleshoot the diff

fix: inputs/NY/validations.sql, schemas/vegbien.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: count lat/longs together instead of separately, because the DISTINCT is by coordinate pair, not individual coordinate value (which wouldn't make much sense)

fix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: use new is_castable(), which is much more accurate than Brad's custom regexp for determining if something is numeric

inputs/NY/validations.-.util.sql: added util.is_castable() wrapper

bugfix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: need to include both lat and long in the value to DISTINCT on

fix: inputs/NY/validations.sql: _specimens_13_count_of_all_verbatim_and_decimal_lat_long: need to DISTINCT the values that are being counted, because they are merged by the coordinates_unique unique constraint in the import