inputs/ACAD/: switched to new-style import, using the steps at wiki.vegpath.org/Switching_to_new-style_import#stage-I-source-specific > "run the following for each datasource"

inputs/input.Makefile: added %/postprocess.sql to replace input column names with the corresponding output column names when switching to new-style import (this target must be manually run, but does simplify the process of renaming the postprocess.sql input columns)

planning/timeline/timeline.2013.xls: moved Individual datasource refresh under Importing to normalized VegCore instead of Switching to new-style import because it is actually related to the refactor-in-place method used to import to VegCore

inputs/ACAD/Specimen/: translated single-column filters to postprocessing derived columns, using the steps at wiki.vegpath.org/Switching_to_new-style_import#stage-I-source-specific > "translate single-column filters to postprocessing derived columns"

bugfix: schemas/util.sql: rename_cols(): run additional `SELECT NULL::void` query after the main for-loop query so that PostgreSQL does not try to fold away the execution of util.try_create() just because multiple rows are not returned by the function. the result set of the first query will still be discarded, but will be fully evaluated. (this has nothing to do with VOLATILE vs. IMMUTABLE; util.try_create() is already declared VOLATILE and would normally not be folded.) rename_cols() is used to rename derived columns, which are not part of the map.csv and cannot be positionally renamed.

schemas/util.sql: added text[] => text operator, analogous to text => text for multiple keys (uses hstore(keys text[], value text))

schemas/util.sql: added hstore(keys text[], value text), which can be used to avoid repeating the same value for each key. there are many /_map filters which use the XPath syntax for doing this, which now need to use an equivalent SQL syntax to avoid duplicating the value many times.

web/links/index.htm: updated to Firefox bookmarks. added link to Brian Enquist's fractals video on PBS NOVA.

schemas/util.sql: added array_fill(anyelement, integer), which doesn't require lengths for multiple dimensions

schemas/util.sql: added array_length(anyarray, dimension integer) wrapper, which returns 0 instead of NULL for empty arrays