inputs/CTFS/StemObservation/map.csv: x, y: Remapped to organismX_m/organismY_m, assuming units based on the size of values relative to plot area, which has units of ha

mappings/VegCore-VegBIEN.csv: Mapped organismX_m, organismY_m

mappings/VegCore.csv: Added organismX_m, organismY_m

sql_io.py: put_table(): full_in_table: Create it using new sql.copy_table() instead of sql.run_query_into()

sql.py: Added copy_table()

sql.mk_select() calls: Removed no longer needed order_by=None when limit=0

sql.py: mk_select(): Set order_by to None if limit == 0

inputs/.TNRS/schema.sql: Documented that accepted names must be processed before any names that resolve to them, because the entry for the accepted name contains all the ranks parsed out but the resolved name of another entry contains just some ranks and the taxonomic name. Column-based import will do this automatically when the total # of rows is <= the partition_size (because _taxonconcept_set_matched_concept_id()'s accepted taxonconcept is created after the main taxonconcept), but TNRS has more rows than this so sorting is needed to ensure that all the accepted names are processed in the first partitions.

sql.py: table_order_by(): Cache the order_by in table.order_by and propagate it when a LIKE table is created

sql_gen.py: Table: Added order_by attr to cache the results of table_order_by()