More work on plumbing attribute accumulation through (#263)

* Plumb bounding boxes through potential intersections

* Quick bbox reject for bins that can't possibly intersect

* Inching toward attribute accumulation in megatile handling

* Some sort of test for how all these things interact with each other.

Automatic numeric attribute accumulation does *not* apply to attributes
that have an explicit attribute accumulator set, because the order of
operations is too messy and weird

* More sketching

* More sketching

* Actually do some accumulation

* Put all that behind an --accumulate-numeric flag

* Use the same attribute accumulation logic in binning as in megatiles

* Fix backwards conditional

* Add means, but somehow I have some counts of 0

* Handle aggregated attributes with no base attribute in the feature

* Checkpoint before I break everything

* Found a flaw, now to debug

* Fix a typo that broke accumulation

* Add binning tests

* Make sure IDs make it through on the bins

* Fix count/mean accumulation

* Make the numeric accumulation prefix configurable

* Make sure the accumulate test still works with a different prefix

* Forgot to update this test

* More testing to make sure cluster sizes make it all the way through

* Fix neglected --accumulate-attribute when binning

* Mark unexercised attribute accumulation cases as "can't happen"

* Factor out numeric preservation

* Attrs with the accumulation prefix are just preserved, not accumulated

* Test behavior of prefixed attributes

* Plumbing for exclude and exclude-prefix

* Implement and test attribute prefix stripping in overzoom

* Update version and changelog

* For debugging, make an attribute list of source feature IDs

* Revert "For debugging, make an attribute list of source feature IDs"

This reverts commit 65fc99c9d1.

CHANGELOG.md

@@ -1,3 +1,9 @@
+# 2.62.3
+
+* Summary statistics with --accumulate-numeric-attributes make it from tiling through to binning
+* Prefix can be specified for --accumulate-numeric-attributes
+* Added --exclude and --exclude-prefix to tippecanoe-overzoom
+
 # 2.62.2
 
 * Pass feature ID through with bins

Makefile

@@ -97,7 +97,7 @@ indent:
 TESTS = $(wildcard tests/*/out/*.json)
 SPACE = $(NULL) $(NULL)
 
-test: tippecanoe tippecanoe-decode $(addsuffix .check,$(TESTS)) raw-tiles-test parallel-test pbf-test join-test enumerate-test decode-test join-filter-test unit json-tool-test allow-existing-test csv-test layer-json-test pmtiles-test decode-pmtiles-test overzoom-test
+test: tippecanoe tippecanoe-decode $(addsuffix .check,$(TESTS)) raw-tiles-test parallel-test pbf-test join-test enumerate-test decode-test join-filter-test unit json-tool-test allow-existing-test csv-test layer-json-test pmtiles-test decode-pmtiles-test overzoom-test accumulate-test
 	./unit
 
 suffixes = json json.gz
@@ -367,15 +367,15 @@ overzoom-test: tippecanoe-overzoom
 	cmp tests/pbf/bin-11-327-791.pbf.out.json.check tests/pbf/bin-11-327-791.pbf.out.json
 	rm tests/pbf/bin-11-327-791.pbf.out.json.check tests/pbf/bin-11-327-791.pbf.out
 	# Binning with longitude wraparound problems
-	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-2-0-1.pbf.out --assign-to-bins tests/pbf/h3-2-0-1.geojson tests/pbf/0-0-0.pbf 2/0/1 2/0/1
+	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-2-0-1.pbf.out --accumulate-numeric-attributes=tippecanoe --assign-to-bins tests/pbf/h3-2-0-1.geojson tests/pbf/0-0-0.pbf 2/0/1 2/0/1
 	./tippecanoe-decode tests/pbf/0-0-0-pop-2-0-1.pbf.out 2 0 1 > tests/pbf/0-0-0-pop-2-0-1.pbf.out.json.check
 	cmp tests/pbf/0-0-0-pop-2-0-1.pbf.out.json.check tests/pbf/0-0-0-pop-2-0-1.pbf.out.json
 	rm tests/pbf/0-0-0-pop-2-0-1.pbf.out tests/pbf/0-0-0-pop-2-0-1.pbf.out.json.check
-	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-1-1-0.pbf.out --assign-to-bins tests/pbf/h3-1-1-0.geojson tests/pbf/0-0-0.pbf 1/1/0 1/1/0
+	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-1-1-0.pbf.out --accumulate-numeric-attributes=tippecanoe --assign-to-bins tests/pbf/h3-1-1-0.geojson tests/pbf/0-0-0.pbf 1/1/0 1/1/0
 	./tippecanoe-decode tests/pbf/0-0-0-pop-1-1-0.pbf.out 1 1 0 > tests/pbf/0-0-0-pop-1-1-0.pbf.out.json.check
 	cmp tests/pbf/0-0-0-pop-1-1-0.pbf.out.json.check tests/pbf/0-0-0-pop-1-1-0.pbf.out.json
 	rm tests/pbf/0-0-0-pop-1-1-0.pbf.out tests/pbf/0-0-0-pop-1-1-0.pbf.out.json.check
-	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-0-0-0.pbf.out --assign-to-bins tests/pbf/h3-0-0-0.geojson tests/pbf/0-0-0.pbf 0/0/0 0/0/0
+	./tippecanoe-overzoom -o tests/pbf/0-0-0-pop-0-0-0.pbf.out --accumulate-numeric-attributes=tippecanoe --assign-to-bins tests/pbf/h3-0-0-0.geojson tests/pbf/0-0-0.pbf 0/0/0 0/0/0
 	./tippecanoe-decode tests/pbf/0-0-0-pop-0-0-0.pbf.out 0 0 0 > tests/pbf/0-0-0-pop-0-0-0.pbf.out.json.check
 	cmp tests/pbf/0-0-0-pop-0-0-0.pbf.out.json.check tests/pbf/0-0-0-pop-0-0-0.pbf.out.json
 	rm tests/pbf/0-0-0-pop-0-0-0.pbf.out tests/pbf/0-0-0-pop-0-0-0.pbf.out.json.check
@@ -515,6 +515,100 @@ join-test: tippecanoe tippecanoe-decode tile-join
 	cmp tests/ne_110m_ocean/join/joined.mbtiles.json.check tests/ne_110m_ocean/join/joined.mbtiles.json
 	rm -f tests/ne_110m_ocean/join/ocean.mbtiles tests/ne_110m_ocean/join/countries.mbtiles tests/ne_110m_ocean/join/joined.mbtiles tests/ne_110m_ocean/join/joined.mbtiles.json.check
 
+accumulate-test:
+	# there are 144 features with POP1950 in the original dataset
+	test `grep '"POP1950": [0-9]' tests/ne_110m_populated_places_nulls/in.json | wc -l` == 144
+	# and 99 without it
+	test `grep '"POP1950": null' tests/ne_110m_populated_places_nulls/in.json | wc -l` == 99
+	./tippecanoe -yNAME -yPOP1950 -yclustered:cluster_size -yclustered:unrelated -q -z3 -r1.75 -b0 -f -e tests/pbf/accum.dir --accumulate-numeric-attributes=clustered --set-attribute '{"clustered:cluster_size":1}' --accumulate-attribute '{"clustered:cluster_size":"sum"}' --retain-points-multiplier 3 tests/ne_110m_populated_places_nulls/in.json
+	# at this drop rate, there are 6 points at z0 that have no POP1950s clustered onto them....
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep -v 'clustered:count:POP1950' | wc -l` == 78
+	# 35 of which have no POP1950 at all
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep -v 'POP1950' | wc -l` == 35
+	# 43 of which do have POP1950
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep -v 'clustered:count:POP1950' | grep 'POP1950' | wc -l` == 43
+	# plus 59 that are clustered
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep 'clustered:count:POP1950' | wc -l` == 59
+	# the 59 clustered POP1950s have a total count of 101
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep 'clustered:count:POP1950' | sed 's/.*"clustered:count:POP1950": //' | awk '{sum += $$1} END {print sum}'` == 101
+	# we have already established that there are 43 bare POP1950s
+	# which makes a total of 144, which is the total count expected
+	#
+	# meanwhile, regular attribute accumulation.
+	# there are 137 features in the z0 tile, and they all have clustered:cluster_size
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep 'clustered:cluster_size' | wc -l` == 137
+	# there are no features that lack it.
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep -v 'clustered:cluster_size' | wc -l` == 0
+	# they add up to the 243 original features
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | sed 's/.*clustered:cluster_size": //' | awk '{sum += $$1} END {print sum}'` == 243
+	# Make sure we do *not* accumulate a numeric attribute that already has the magic prefix:
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep sum:clustered:unrelated | wc -l` == 0
+	# But that we *do* preserve those attributes into the output features:
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep clustered:unrelated | wc -l` == 66
+	#
+	# on to the sums:
+	# in the original data set, the POP1950s that are present add up to 161590
+	test `grep '"POP1950": [0-9]' tests/ne_110m_populated_places_nulls/in.json | sed 's/.*"POP1950": //' | awk '{sum += $$1} END {print sum}' ` == 161590
+	# in the z0 tile, the clustered POP1950s add up to 113357
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep 'clustered:sum:POP1950' | sed 's/.*"clustered:sum:POP1950": //' | awk '{sum += $$1} END {print sum}'` == 113357
+	# and the non-clustered ones add up to 48233
+	test `./tippecanoe-decode -c tests/pbf/accum.dir/0/0/0.pbf 0 0 0 | grep -v 'clustered:sum:POP1950' | grep POP1950 | sed 's/.*"POP1950": //' | awk '{sum += $$1} END {print sum}'` == 48233
+	# which is the correct 161590
+	#
+	# OK, so do these still hold after megatile filtering?
+	./tippecanoe-overzoom --accumulate-numeric-attributes=clustered --accumulate-attribute '{"clustered:cluster_size":"sum"}' -m -o tests/pbf/accum-0-0-0.pbf tests/pbf/accum.dir/0/0/0.pbf 0/0/0 0/0/0
+	# Now there are 40 features with POP1950 clusters
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep 'clustered:count:POP1950' | wc -l` == 40
+	# There are 4 with bare POP1950
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep -v 'clustered:count:POP1950' | grep 'POP1950' | wc -l` == 4
+	# And 2 with no POP1950 at all
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep -v 'POP1950' | wc -l` == 2
+	# (which is the same as you get if you don't use -retain-points-multiplier when creating the tileset)
+	#
+	# the clustered and megatile-filtered POP1950s add up to 146370
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep 'clustered:sum:POP1950' | sed 's/.*"clustered:sum:POP1950": //' | awk '{sum += $$1} END {print sum}'` == 146370
+	# the non-clustered but megatile-filtered POP1950s add up to 15220
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep -v 'clustered:sum:POP1950' | grep POP1950 | sed 's/.*"POP1950": //' | awk '{sum += $$1} END {print sum}'` == 15220
+	# which add up to 161590 so we have the right global total
+	# Make sure we do *not* accumulate a numeric attribute that already has the magic prefix:
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep sum:clustered:unrelated | wc -l` == 0
+	# But that we *do* preserve those attributes into the output features:
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep clustered:unrelated | wc -l` == 22
+	# the cluster sizes still add up to the 243 original features
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | sed 's/.*clustered:cluster_size": //' | awk '{sum += $$1} END {print sum}'` == 243
+	#
+	# We actually want to serve point tiles without the numeric accumulations,
+	# but with cluster size, so test that combination:
+	./tippecanoe-overzoom --accumulate-attribute '{"clustered:cluster_size":"sum"}' --exclude-prefix clustered:sum --exclude-prefix clustered:count --exclude-prefix clustered:min --exclude-prefix clustered:max --exclude-prefix clustered:mean -m -o tests/pbf/accum-0-0-0.pbf tests/pbf/accum.dir/0/0/0.pbf 0/0/0 0/0/0
+	# There are no POP1950 clusters
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep 'clustered:count:POP1950' | wc -l` == 0
+	# But there are still 28 with bare POP1950
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep -v 'clustered:count:POP1950' | grep 'POP1950' | wc -l` == 28
+	# And 18 with no POP1950 at all
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | grep -v 'POP1950' | wc -l` == 18
+    # which matches the 46 features that you get if you tile without --retain-points-multiplier.
+	# the cluster sizes still add up to the 243 original features
+	test `./tippecanoe-decode -c tests/pbf/accum-0-0-0.pbf 0 0 0 | sed 's/.*clustered:cluster_size": //' | awk '{sum += $$1} END {print sum}'` == 243
+	#
+	# Now on to binning!
+	./tippecanoe-overzoom --assign-to-bins tests/pbf/h3-0-0-0.geojson --accumulate-numeric-attributes=clustered --accumulate-attribute '{"clustered:cluster_size":"sum"}' -o tests/pbf/bins-0-0-0.pbf tests/pbf/accum.dir/0/0/0.pbf 0/0/0 0/0/0
+	# Now there are 30 bins with POP1950 clusters
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep 'clustered:count:POP1950' | wc -l` == 44
+	# There are none with bare POP1950 (which is expected; we should only have summary statistics)
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep -v 'clustered:count:POP1950' | grep 'POP1950' | wc -l` == 0
+	# And 4 with no POP1950 at all
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep -v 'POP1950' | wc -l` == 4
+	#
+	# the clustered and megatile-filtered and binned POP1950s add up to 161590
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep 'clustered:sum:POP1950' | sed 's/.*"clustered:sum:POP1950": //' | awk '{sum += $$1} END {print sum}'` == 161590
+	# which is the right global total
+	# Make sure we do *not* accumulate a numeric attribute that already has the magic prefix:
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep sum:clustered:unrelated | wc -l` == 0
+	# And those attributes do *not* make it onto the bins
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | grep clustered:unrelated | wc -l` == 0
+	# the cluster sizes still add up to the 243 original features
+	test `./tippecanoe-decode -c tests/pbf/bins-0-0-0.pbf 0 0 0 | sed 's/.*clustered:cluster_size": //' | awk '{sum += $$1} END {print sum}'` == 243
+
 join-filter-test: tippecanoe tippecanoe-decode tile-join
 	# Comes out different from the direct tippecanoe run because null attributes are lost
 	./tippecanoe -q -z0 -f -o tests/feature-filter/out/all.mbtiles tests/feature-filter/in.json

attribute.cpp

@@ -6,6 +6,13 @@
 #include "jsonpull/jsonpull.h"
 #include "milo/dtoa_milo.h"
 
+std::map<std::string, attribute_op> numeric_operations = {
+	{"sum", op_sum},
+	{"min", op_min},
+	{"max", op_max},
+	{"count", op_count},
+};
+
 void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, std::string name, std::string type) {
 	attribute_op t;
 
@@ -88,12 +95,12 @@ void preserve_attribute(attribute_op const &op, std::string const &key, serial_v
 			case op_sum:
 				full_values[i].s = milo::dtoa_milo(atof(full_values[i].s.c_str()) + atof(val.s.c_str()));
 				full_values[i].type = mvt_double;
-				break;
+				return;
 
 			case op_product:
 				full_values[i].s = milo::dtoa_milo(atof(full_values[i].s.c_str()) * atof(val.s.c_str()));
 				full_values[i].type = mvt_double;
-				break;
+				return;
 
 			case op_max: {
 				double existing = atof(full_values[i].s.c_str());
@@ -102,7 +109,7 @@ void preserve_attribute(attribute_op const &op, std::string const &key, serial_v
 					full_values[i].s = val.s.c_str();
 					full_values[i].type = mvt_double;
 				}
-				break;
+				return;
 			}
 
 			case op_min: {
@@ -112,7 +119,7 @@ void preserve_attribute(attribute_op const &op, std::string const &key, serial_v
 					full_values[i].s = val.s.c_str();
 					full_values[i].type = mvt_double;
 				}
-				break;
+				return;
 			}
 
 			case op_mean: {
@@ -124,24 +131,26 @@ void preserve_attribute(attribute_op const &op, std::string const &key, serial_v
 					attribute_accum_state.insert(std::pair<std::string, accum_state>(key, s));
 
 					full_values[i].s = milo::dtoa_milo(s.sum / s.count);
+					full_values[i].type = mvt_double;
 				} else {
 					state->second.sum += atof(val.s.c_str());
 					state->second.count += 1;
 
 					full_values[i].s = milo::dtoa_milo(state->second.sum / state->second.count);
+					full_values[i].type = mvt_double;
 				}
-				break;
+				return;
 			}
 
 			case op_concat:
 				full_values[i].s += val.s;
 				full_values[i].type = mvt_string;
-				break;
+				return;
 
 			case op_comma:
 				full_values[i].s += std::string(",") + val.s;
 				full_values[i].type = mvt_string;
-				break;
+				return;
 
 			case op_count: {
 				auto state = attribute_accum_state.find(key);
@@ -155,9 +164,44 @@ void preserve_attribute(attribute_op const &op, std::string const &key, serial_v
 					state->second.count += 1;
 					full_values[i].s = std::to_string(state->second.count);
 				}
+				return;
+			}
+			}
+		}
+	}
+
+	// not found, so we are making a new value
+
+	serial_val sv;
+	switch (op) {
+	case op_sum:
+	case op_max:
+	case op_min:
+		sv.s = val.s;
+		sv.type = mvt_double;
+		break;
+
+	case op_count: {
+		auto state = attribute_accum_state.find(key);
+		if (state == attribute_accum_state.end()) {  // not already present
+			accum_state s;
+			s.count = 1;
+			attribute_accum_state.insert(std::pair<std::string, accum_state>(key, s));
+
+			sv.s = std::to_string(s.count);
+		} else {  // already present, incrementing
+			fprintf(stderr, "preserve_attribute: can't happen (count)\n");
+			exit(EXIT_IMPOSSIBLE);
+		}
+		sv.type = mvt_double;
 		break;
 	}
+
+	default:
+		fprintf(stderr, "can't happen: operation that isn't used by --accumulate-numeric-attributes\n");
+		exit(EXIT_IMPOSSIBLE);
 	}
-		}
+
-	}
+	full_keys.push_back(key);
+	full_values.push_back(sv);
 }

attribute.hpp

@@ -3,6 +3,7 @@
 
 #include <vector>
 #include <unordered_map>
+#include <map>
 
 enum attribute_op {
 	op_sum,
@@ -26,4 +27,6 @@ void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribut
 void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, const char *arg, char **argv);
 void preserve_attribute(attribute_op const &op, const std::string &key, serial_val const &val, std::vector<std::string> &full_keys, std::vector<serial_val> &full_values, std::unordered_map<std::string, accum_state> &attribute_accum_state);
 
+extern std::map<std::string, attribute_op> numeric_operations;
+
 #endif

clip.cpp

@@ -1076,12 +1076,17 @@ bool pnpoly_mp(std::vector<mvt_geometry> const &geom, long long x, long long y)
 }
 
 std::string overzoom(std::vector<input_tile> const &tiles, int nz, int nx, int ny,
-		     int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
+		     int detail, int buffer,
+		     std::set<std::string> const &keep,
+		     std::set<std::string> const &exclude,
+		     std::vector<std::string> const &exclude_prefix,
+		     bool do_compress,
 		     std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
 		     bool demultiply, json_object *filter, bool preserve_input_order,
 		     std::unordered_map<std::string, attribute_op> const &attribute_accum,
 		     std::vector<std::string> const &unidecode_data, double simplification,
-		     double tiny_polygon_size, std::vector<mvt_layer> const &bins) {
+		     double tiny_polygon_size, std::vector<mvt_layer> const &bins,
+		     std::string const &accumulate_numeric) {
 	std::vector<source_tile> decoded;
 
 	for (auto const &t : tiles) {
@@ -1107,9 +1112,10 @@ std::string overzoom(std::vector<input_tile> const &tiles, int nz, int nx, int n
 		decoded.push_back(out);
 	}
 
-	return overzoom(decoded, nz, nx, ny, detail, buffer, keep, do_compress, next_overzoomed_tiles, demultiply, filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins);
+	return overzoom(decoded, nz, nx, ny, detail, buffer, keep, exclude, exclude_prefix, do_compress, next_overzoomed_tiles, demultiply, filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins, accumulate_numeric);
 }
 
+// like a minimal serial_feature, but with mvt_feature-style attributes
 struct tile_feature {
 	drawvec geom;
 	int t;
@@ -1120,7 +1126,147 @@ struct tile_feature {
 	size_t seq = 0;
 };
 
-static void feature_out(std::vector<tile_feature> const &features, mvt_layer &outlayer, std::set<std::string> const &keep, std::unordered_map<std::string, attribute_op> const &attribute_accum, std::shared_ptr<std::string> const &tile_stringpool) {
+static void add_mean(mvt_feature &feature, mvt_layer &layer, std::string const &accumulate_numeric) {
+	std::string accumulate_numeric_colon = accumulate_numeric + ":";
+
+	std::unordered_map<std::string, size_t> attributes;
+	for (size_t i = 0; i + 1 < feature.tags.size(); i += 2) {
+		std::string const &key = layer.keys[feature.tags[i]];
+		if (starts_with(key, accumulate_numeric_colon)) {
+			attributes.emplace(key, i);
+		}
+	}
+
+	for (size_t i = 0; i + 1 < feature.tags.size(); i += 2) {
+		std::string accumulate_numeric_sum_colon = accumulate_numeric + ":sum:";
+
+		std::string const &key = layer.keys[feature.tags[i]];
+		if (starts_with(key, accumulate_numeric_sum_colon)) {
+			std::string trunc = key.substr(accumulate_numeric_sum_colon.size());
+			auto const f = attributes.find(accumulate_numeric + ":count:" + trunc);
+			if (f != attributes.end()) {
+				mvt_value const &sum = layer.values[feature.tags[i + 1]];
+				mvt_value const &count = layer.values[feature.tags[f->second + 1]];
+				double count_val = mvt_value_to_double(count);
+				if (count_val <= 0) {
+					fprintf(stderr, "can't happen: count is %s (type %d)\n", count.toString().c_str(), count.type);
+					exit(EXIT_IMPOSSIBLE);
+				}
+				mvt_value mean;
+				mean.type = mvt_double;
+				mean.numeric_value.double_value = mvt_value_to_double(sum) / count_val;
+				layer.tag(feature, accumulate_numeric + ":mean:" + trunc, mean);
+			}
+		}
+	}
+};
+
+// accumulate :sum:, :min:, :max:, and :count: versions of the specified attribute
+static void preserve_numeric(const std::string &key, const mvt_value &val,			  // numeric attribute being accumulated
+			     std::vector<std::string> &full_keys,				  // keys of feature being accumulated onto
+			     std::vector<serial_val> &full_values,				  // values of features being accumulated onto
+			     const std::string &accumulate_numeric,				  // prefix of accumulations
+			     std::set<std::string> &keys,					  // key presence in the source feature
+			     std::map<std::string, size_t> &numeric_out_field,			  // key index in the output feature
+			     std::unordered_map<std::string, accum_state> &attribute_accum_state  // accumulation state for preserve_attribute()
+) {
+	// If this is a numeric attribute, but there is also a prefix:sum (etc.) for the
+	// same attribute, we want to use that one instead of this one.
+
+	for (auto const &op : numeric_operations) {
+		std::string compound_key = accumulate_numeric + ":" + op.first + ":" + key;
+		auto compound_found = keys.find(compound_key);
+		if (compound_found != keys.end()) {
+			// found, so skip this one
+		} else {
+			// not found, so accumulate this one
+
+			// if this is already prefixed, strip off the prefix
+			// if it is the right one, and skip the attribute if
+			// it is the wrong one.
+
+			std::string outkey = key;
+			if (starts_with(outkey, accumulate_numeric + ":")) {
+				std::string prefix = accumulate_numeric + ":" + op.first + ":";
+				if (starts_with(outkey, prefix)) {
+					outkey = outkey.substr(prefix.size());
+				} else {
+					continue;  // to next operation
+				}
+			}
+			// and then put it back on for the output field
+			std::string prefixed = accumulate_numeric + ":" + op.first + ":" + outkey;
+
+			// Does it exist in the output feature already?
+
+			auto prefixed_attr = numeric_out_field.find(prefixed);
+			if (prefixed_attr == numeric_out_field.end()) {
+				// No? Does it exist unprefixed in the output feature already?
+
+				auto out_attr = numeric_out_field.find(outkey);
+				if (out_attr == numeric_out_field.end()) {
+					// not present at all, so copy our value to the prefixed output
+					numeric_out_field.emplace(prefixed, full_keys.size());
+					full_keys.push_back(prefixed);
+					if (op.second == op_count) {
+						serial_val sv;
+						sv.type = mvt_double;
+						sv.s = "1";
+						full_values.push_back(sv);
+					} else {
+						full_values.push_back(mvt_value_to_serial_val(val));
+					}
+				} else {
+					// exists unprefixed, so copy it, and then accumulate on our value
+					numeric_out_field.emplace(prefixed, full_keys.size());
+					full_keys.push_back(prefixed);
+					if (op.second == op_count) {
+						serial_val sv;
+						sv.type = mvt_double;
+						sv.s = "1";
+						full_values.push_back(sv);
+					} else {
+						full_values.push_back(full_values[out_attr->second]);
+					}
+
+					preserve_attribute(op.second, prefixed, mvt_value_to_serial_val(val), full_keys, full_values, attribute_accum_state);
+				}
+			} else {
+				// exists, so accumulate on our value
+				preserve_attribute(op.second, prefixed, mvt_value_to_serial_val(val), full_keys, full_values, attribute_accum_state);
+			}
+		}
+	}
+}
+
+static bool should_keep(std::string const &key,
+			std::set<std::string> const &keep,
+			std::set<std::string> const &exclude,
+			std::vector<std::string> const &exclude_prefix) {
+	if (keep.size() == 0 || keep.find(key) != keep.end()) {
+		if (exclude.find(key) != exclude.end()) {
+			return false;
+		}
+
+		for (auto const &prefix : exclude_prefix) {
+			if (starts_with(key, prefix)) {
+				return false;
+			}
+		}
+
+		return true;
+	}
+
+	return false;
+}
+
+static void feature_out(std::vector<tile_feature> const &features, mvt_layer &outlayer,
+			std::set<std::string> const &keep,
+			std::set<std::string> const &exclude,
+			std::vector<std::string> const &exclude_prefix,
+			std::unordered_map<std::string, attribute_op> const &attribute_accum,
+			std::shared_ptr<std::string> const &tile_stringpool,
+			std::string const &accumulate_numeric) {
 	// Add geometry to output feature
 
 	mvt_feature outfeature;
@@ -1139,7 +1285,7 @@ static void feature_out(std::vector<tile_feature> const &features, mvt_layer &ou
 
 		outfeature.seq = features[0].seq;
 
-		if (attribute_accum.size() > 0) {
+		if (attribute_accum.size() > 0 || accumulate_numeric.size() > 0) {
 			// convert the attributes of the output feature
 			// from mvt_value to serial_val so they can have
 			// attributes from the other features of the
@@ -1148,16 +1294,23 @@ static void feature_out(std::vector<tile_feature> const &features, mvt_layer &ou
 			std::unordered_map<std::string, accum_state> attribute_accum_state;
 			std::vector<std::string> full_keys;
 			std::vector<serial_val> full_values;
+			std::map<std::string, size_t> numeric_out_field;
 
 			for (size_t i = 0; i + 1 < features[0].tags.size(); i += 2) {
-				auto f = attribute_accum.find(features[0].layer->keys[features[0].tags[i]]);
+				const std::string &key = features[0].layer->keys[features[0].tags[i]];
+				auto f = attribute_accum.find(key);
 				if (f != attribute_accum.end()) {
 					// this attribute has an accumulator, so convert it
 					full_keys.push_back(features[0].layer->keys[features[0].tags[i]]);
 					full_values.push_back(mvt_value_to_serial_val(features[0].layer->values[features[0].tags[i + 1]]));
+				} else if (accumulate_numeric.size() > 0 && features[0].layer->values[features[0].tags[i + 1]].is_numeric()) {
+					// convert numeric for accumulation
+					numeric_out_field.emplace(key, full_keys.size());
+					full_keys.push_back(key);
+					full_values.push_back(mvt_value_to_serial_val(features[0].layer->values[features[0].tags[i + 1]]));
 				} else {
 					// otherwise just tag it directly onto the output feature
-					if (keep.size() == 0 || keep.find(features[0].layer->keys[features[0].tags[i]]) != keep.end()) {
+					if (should_keep(features[0].layer->keys[features[0].tags[i]], keep, exclude, exclude_prefix)) {
 						outlayer.tag(outfeature, features[0].layer->keys[features[0].tags[i]], features[0].layer->values[features[0].tags[i + 1]]);
 					}
 				}
@@ -1168,13 +1321,27 @@ static void feature_out(std::vector<tile_feature> const &features, mvt_layer &ou
 			// features that will not
 
 			for (size_t i = 1; i < features.size(); i++) {
+				std::set<std::string> keys;
+
 				for (size_t j = 0; j + 1 < features[i].tags.size(); j += 2) {
-					std::string key = features[i].layer->keys[features[i].tags[j]];
+					const std::string &key = features[i].layer->keys[features[i].tags[j]];
+					keys.insert(key);
+				}
+
+				for (size_t j = 0; j + 1 < features[i].tags.size(); j += 2) {
+					const std::string &key = features[i].layer->keys[features[i].tags[j]];
 
 					auto f = attribute_accum.find(key);
 					if (f != attribute_accum.end()) {
 						serial_val val = mvt_value_to_serial_val(features[i].layer->values[features[i].tags[j + 1]]);
 						preserve_attribute(f->second, key, val, full_keys, full_values, attribute_accum_state);
+					} else if (accumulate_numeric.size() > 0) {
+						const mvt_value &val = features[i].layer->values[features[i].tags[j + 1]];
+						if (val.is_numeric()) {
+							preserve_numeric(key, val, full_keys, full_values,
+									 accumulate_numeric,
+									 keys, numeric_out_field, attribute_accum_state);
+						}
 					}
 				}
 			}
@@ -1183,13 +1350,17 @@ static void feature_out(std::vector<tile_feature> const &features, mvt_layer &ou
 			// and tag them onto the output feature
 
 			for (size_t i = 0; i < full_keys.size(); i++) {
-				if (keep.size() == 0 || keep.find(full_keys[i]) != keep.end()) {
+				if (should_keep(full_keys[i], keep, exclude, exclude_prefix)) {
 					outlayer.tag(outfeature, full_keys[i], stringified_to_mvt_value(full_values[i].type, full_values[i].s.c_str(), tile_stringpool));
 				}
 			}
+
+			if (accumulate_numeric.size() > 0) {
+				add_mean(outfeature, outlayer, accumulate_numeric);
+			}
 		} else {
 			for (size_t i = 0; i + 1 < features[0].tags.size(); i += 2) {
-				if (keep.size() == 0 || keep.find(features[0].layer->keys[features[0].tags[i]]) != keep.end()) {
+				if (should_keep(features[0].layer->keys[features[0].tags[i]], keep, exclude, exclude_prefix)) {
 					outlayer.tag(outfeature, features[0].layer->keys[features[0].tags[i]], features[0].layer->values[features[0].tags[i + 1]]);
 				}
 			}
@@ -1214,9 +1385,11 @@ struct index_event {
 	} kind;
 	size_t layer;
 	size_t feature;
+	long long xmin, ymin, xmax, ymax;
 
-	index_event(unsigned long long where_, index_event_kind kind_, size_t layer_, size_t feature_)
+	index_event(unsigned long long where_, index_event_kind kind_, size_t layer_, size_t feature_,
-	    : where(where_), kind(kind_), layer(layer_), feature(feature_) {
+		    long long xmin_, long long ymin_, long long xmax_, long long ymax_)
+	    : where(where_), kind(kind_), layer(layer_), feature(feature_), xmin(xmin_), ymin(ymin_), xmax(xmax_), ymax(ymax_) {
 	}
 
 	bool operator<(const index_event &ie) const {
@@ -1287,7 +1460,29 @@ void get_quadkey_bounds(long long xmin, long long ymin, long long xmax, long lon
 	}
 }
 
-mvt_tile assign_to_bins(mvt_tile const &features, std::vector<mvt_layer> const &bins, int z, int x, int y, int detail) {
+static bool bbox_intersects(long long x1min, long long y1min, long long x1max, long long y1max,
+			    long long x2min, long long y2min, long long x2max, long long y2max) {
+	if (x1max < x2min) {
+		return false;
+	}
+	if (x2max < x1min) {
+		return false;
+	}
+	if (y1max < y2min) {
+		return false;
+	}
+	if (y2max < y1min) {
+		return false;
+	}
+	return true;
+}
+
+mvt_tile assign_to_bins(mvt_tile const &features, std::vector<mvt_layer> const &bins, int z, int x, int y, int detail,
+			std::unordered_map<std::string, attribute_op> const &attribute_accum,
+			std::string const &accumulate_numeric,
+			std::set<std::string> keep,
+			std::set<std::string> exclude,
+			std::vector<std::string> exclude_prefix) {
 	std::vector<index_event> events;
 
 	// Index bins
@@ -1298,8 +1493,8 @@ mvt_tile assign_to_bins(mvt_tile const &features, std::vector<mvt_layer> const &
 
 			get_bbox(bins[i].features[j].geometry, &xmin, &ymin, &xmax, &ymax, z, x, y, detail);
 			get_quadkey_bounds(xmin, ymin, xmax, ymax, &start, &end);
-			events.emplace_back(start, index_event::ENTER, i, j);
+			events.emplace_back(start, index_event::ENTER, i, j, xmin, ymin, xmax, ymax);
-			events.emplace_back(end, index_event::EXIT, i, j);
+			events.emplace_back(end, index_event::EXIT, i, j, xmin, ymin, xmax, ymax);
 		}
 	}
 
@@ -1312,146 +1507,91 @@ mvt_tile assign_to_bins(mvt_tile const &features, std::vector<mvt_layer> const &
 			if (features.layers[i].features[j].geometry.size() > 0) {
 				get_bbox(features.layers[i].features[j].geometry, &xmin, &ymin, &xmax, &ymax, z, x, y, detail);
 				get_quadkey_bounds(xmin, ymin, xmax, ymax, &start, &end);
-				events.emplace_back(start, index_event::CHECK, i, j);
+				events.emplace_back(start, index_event::CHECK, i, j, xmin, ymin, xmax, ymax);
 			}
 		}
 	}
 
 	std::sort(events.begin(), events.end());
 	std::set<active_bin> active;
-	std::vector<size_t> counters;			    // separate because set items can't be mutated from an iterator
-	std::vector<std::map<std::string, double>> sums;    // separate because set items can't be mutated from an iterator
-	std::vector<std::map<std::string, double>> maxes;   // separate because set items can't be mutated from an iterator
-	std::vector<std::map<std::string, double>> mins;    // separate because set items can't be mutated from an iterator
-	std::vector<std::map<std::string, double>> counts;  // separate because set items can't be mutated from an iterator
 
 	mvt_layer outlayer;
 	outlayer.extent = 1 << detail;
 	outlayer.version = 2;
 	outlayer.name = features.layers[0].name;
 
+	std::vector<std::vector<tile_feature>> outfeatures;
+	std::shared_ptr<std::string> tile_stringpool = std::make_shared<std::string>();
+
 	for (auto &e : events) {
 		if (e.kind == index_event::ENTER) {
 			active_bin a(e.layer, e.feature);
+			a.xmin = e.xmin;
+			a.ymin = e.ymin;
+			a.xmax = e.xmax;
+			a.ymax = e.ymax;
 
 			const mvt_feature &bin = bins[e.layer].features[e.feature];
-			mvt_feature outfeature;
+
-			outfeature.geometry = bin.geometry;
+			tile_feature outfeature;
-			outfeature.type = bin.type;
+			for (auto const &g : bin.geometry) {
+				outfeature.geom.emplace_back(g.op, g.x, g.y);
+			}
+			outfeature.t = bin.type;
 			outfeature.has_id = bin.has_id;
 			outfeature.id = bin.id;
-			a.outfeature = outlayer.features.size();
+			outfeature.tags = bin.tags;
+			outfeature.layer = &bins[e.layer];
+			outfeature.seq = e.feature;
 
-			a.counter = counters.size();
+			a.outfeature = outfeatures.size();
-			counters.push_back(0);
+			outfeatures.push_back({std::move(outfeature)});
-			sums.emplace_back();
-			maxes.emplace_back();
-			mins.emplace_back();
-			counts.emplace_back();
 
-			outlayer.features.push_back(std::move(outfeature));
 			active.insert(std::move(a));
 		} else if (e.kind == index_event::CHECK) {
 			auto const &feature = features.layers[e.layer].features[e.feature];
-#if 0
-			for (size_t i = 0; i + 1 < feature.tags.size(); i += 2) {
-				printf("%s ", features.layers[e.layer].values[feature.tags[i + 1]].toString().c_str());
-			}
-			printf(": ");
-#endif
 
 			for (auto const &a : active) {
 				auto const &bin = bins[a.layer].features[a.feature];
 
-				// XXX do bounding box check first
+				if (bbox_intersects(e.xmin, e.ymin, e.xmax, e.ymax,
+						    a.xmin, a.ymin, a.xmax, a.ymax)) {
 					if (pnpoly_mp(bin.geometry, feature.geometry[0].x, feature.geometry[0].y)) {
-#if 0
+						tile_feature outfeature;
-					printf("found: ");
+						for (auto const &g : feature.geometry) {
-
+							outfeature.geom.emplace_back(g.op, g.x, g.y);
-					for (size_t i = 0; i + 1 < bin.tags.size(); i += 2) {
-						printf("%s ", bins[a.first].values[bin.tags[i + 1]].toString().c_str());
-					}
-					printf("\n");
-#endif
-					counters[a.counter]++;
-
-					for (size_t i = 0; i + 1 < feature.tags.size(); i += 2) {
-						const mvt_value &val = features.layers[e.layer].values[feature.tags[i + 1]];
-						const std::string &key = features.layers[e.layer].keys[feature.tags[i]];
-
-						if (val.is_numeric()) {
-							auto sum_attr = sums[a.counter].find(key);
-							if (sum_attr == sums[a.counter].end()) {
-								sums[a.counter].emplace(key, 0);
-								mins[a.counter].emplace(key, std::numeric_limits<double>::infinity());
-								maxes[a.counter].emplace(key, -std::numeric_limits<double>::infinity());
-								counts[a.counter].emplace(key, 0);
-
-								sum_attr = sums[a.counter].find(key);
-							}
-
-							auto min_attr = mins[a.counter].find(key);
-							auto max_attr = maxes[a.counter].find(key);
-							auto count_attr = counts[a.counter].find(key);
-							double v = mvt_value_to_double(val);
-
-							sum_attr->second += v;
-							count_attr->second += 1;
-							min_attr->second = std::min(min_attr->second, v);
-							max_attr->second = std::max(max_attr->second, v);
-						}
 						}
+						outfeature.t = feature.type;
+						outfeature.has_id = feature.has_id;
+						outfeature.id = feature.id;
+						outfeature.tags = feature.tags;
+						outfeature.layer = &features.layers[e.layer];
+						outfeature.seq = e.feature;
+						outfeatures[a.outfeature].push_back(std::move(outfeature));
 
 						break;
 					}
 				}
+			}
 		} else /* EXIT */ {
 			auto const &found = active.find({e.layer, e.feature});
 			if (found != active.end()) {
-				mvt_feature &outfeature = outlayer.features[found->outfeature];
+				if (outfeatures[found->outfeature].size() > 1) {
+					feature_out(outfeatures[found->outfeature], outlayer,
+						    keep, exclude, exclude_prefix, attribute_accum,
+						    tile_stringpool, accumulate_numeric);
+					mvt_feature &nfeature = outlayer.features.back();
+					mvt_value val;
+					val.type = mvt_uint;
+					val.numeric_value.uint_value = outfeatures[found->outfeature].size() - 1;
 
-				if (counters[found->counter] >= 0) {
+					std::string attrname;
-					const mvt_feature &bin = bins[e.layer].features[e.feature];
+					if (accumulate_numeric.size() == 0) {
-
+						attrname = "tippecanoe:count";
-					// copy attributes from the original bin feature
-					for (size_t i = 0; i + 1 < bin.tags.size(); i += 2) {
-						outlayer.tag(outfeature, bins[e.layer].keys[bin.tags[i]], bins[e.layer].values[bin.tags[i + 1]]);
-					}
-
-					// new attribute for number of features assigned to the bin
-					mvt_value v;
-					v.type = mvt_uint;
-					v.numeric_value.uint_value = counters[found->counter];
-					outlayer.tag(outfeature, "tippecanoe:count", v);
-
-					for (auto const &kv : sums[found->counter]) {
-						mvt_value v_sum;
-						v_sum.type = mvt_double;
-						v_sum.numeric_value.double_value = kv.second;
-						outlayer.tag(outfeature, "tippecanoe:sum:" + kv.first, v_sum);
-
-						mvt_value v_count;
-						v_count.type = mvt_double;
-						v_count.numeric_value.double_value = counts[found->counter][kv.first];
-						outlayer.tag(outfeature, "tippecanoe:count:" + kv.first, v_count);
-
-						mvt_value v_mean;
-						v_mean.type = mvt_double;
-						v_mean.numeric_value.double_value = kv.second / counters[found->counter];
-						outlayer.tag(outfeature, "tippecanoe:mean:" + kv.first, v_mean);
-
-						mvt_value v_min;
-						v_min.type = mvt_double;
-						v_min.numeric_value.double_value = mins[found->counter][kv.first];
-						outlayer.tag(outfeature, "tippecanoe:min:" + kv.first, v_min);
-
-						mvt_value v_max;
-						v_max.type = mvt_double;
-						v_max.numeric_value.double_value = maxes[found->counter][kv.first];
-						outlayer.tag(outfeature, "tippecanoe:max:" + kv.first, v_max);
-					}
 					} else {
-					outfeature.geometry.clear();
+						attrname = accumulate_numeric + ":count";
+					}
+					outlayer.tag(nfeature, attrname, val);
 				}
 
 				active.erase(found);
@@ -1462,29 +1602,23 @@ mvt_tile assign_to_bins(mvt_tile const &features, std::vector<mvt_layer> const &
 		}
 	}
 
-#if 0
-	// crunch out bin features whose geometry we cleared along the way
-	size_t out = 0;
-	for (size_t i = 0; i < outlayer.features.size(); i++) {
-		if (outlayer.features[i].geometry.size() > 0) {
-			outlayer.features[out++] = outlayer.features[i];
-		}
-	}
-	outlayer.features.resize(out);
-#endif
-
 	mvt_tile ret;
 	ret.layers.push_back(outlayer);
 	return ret;
 }
 
 std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int ny,
-		     int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
+		     int detail, int buffer,
+		     std::set<std::string> const &keep,
+		     std::set<std::string> const &exclude,
+		     std::vector<std::string> const &exclude_prefix,
+		     bool do_compress,
 		     std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
 		     bool demultiply, json_object *filter, bool preserve_input_order,
 		     std::unordered_map<std::string, attribute_op> const &attribute_accum,
 		     std::vector<std::string> const &unidecode_data, double simplification,
-		     double tiny_polygon_size, std::vector<mvt_layer> const &bins) {
+		     double tiny_polygon_size, std::vector<mvt_layer> const &bins,
+		     std::string const &accumulate_numeric) {
 	mvt_tile outtile;
 	std::shared_ptr<std::string> tile_stringpool = std::make_shared<std::string>();
 
@@ -1610,7 +1744,7 @@ std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int
 
 				if (flush_multiplier_cluster) {
 					if (pending_tile_features.size() > 0) {
-						feature_out(pending_tile_features, *outlayer, keep, attribute_accum, tile_stringpool);
+						feature_out(pending_tile_features, *outlayer, keep, exclude, exclude_prefix, attribute_accum, tile_stringpool, accumulate_numeric);
 						pending_tile_features.clear();
 					}
 				}
@@ -1667,7 +1801,7 @@ std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int
 			}
 
 			if (pending_tile_features.size() > 0) {
-				feature_out(pending_tile_features, *outlayer, keep, attribute_accum, tile_stringpool);
+				feature_out(pending_tile_features, *outlayer, keep, exclude, exclude_prefix, attribute_accum, tile_stringpool, accumulate_numeric);
 				pending_tile_features.clear();
 			}
 
@@ -1699,8 +1833,8 @@ std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int
 
 					std::string child = overzoom(sts,
 								     nz + 1, nx * 2 + x, ny * 2 + y,
-								     detail, buffer, keep, false, NULL,
+								     detail, buffer, keep, exclude, exclude_prefix, false, NULL,
-								     demultiply, filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins);
+								     demultiply, filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins, accumulate_numeric);
 					if (child.size() > 0) {
 						next_overzoomed_tiles->emplace_back(nx * 2 + x, ny * 2 + y);
 					}
@@ -1710,7 +1844,8 @@ std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int
 	}
 
 	if (bins.size() > 0) {
-		outtile = assign_to_bins(outtile, bins, nz, nx, ny, detail);
+		outtile = assign_to_bins(outtile, bins, nz, nx, ny, detail, attribute_accum, accumulate_numeric,
+					 keep, exclude, exclude_prefix);
 	}
 
 	for (ssize_t i = outtile.layers.size() - 1; i >= 0; i--) {

geometry.cpp

@@ -18,7 +18,6 @@
 #include "main.hpp"
 #include "options.hpp"
 #include "errors.hpp"
-#include "projection.hpp"
 
 drawvec decode_geometry(const char **meta, int z, unsigned tx, unsigned ty, long long *bbox, unsigned initial_x, unsigned initial_y) {
 	drawvec out;

geometry.hpp

@@ -116,20 +116,30 @@ struct source_tile {
 };
 
 std::string overzoom(std::vector<source_tile> const &tiles, int nz, int nx, int ny,
-		     int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
+		     int detail, int buffer,
+		     std::set<std::string> const &keep,
+		     std::set<std::string> const &exclude,
+		     std::vector<std::string> const &exclude_prefix,
+		     bool do_compress,
 		     std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
 		     bool demultiply, json_object *filter, bool preserve_input_order,
 		     std::unordered_map<std::string, attribute_op> const &attribute_accum,
 		     std::vector<std::string> const &unidecode_data, double simplification,
-		     double tiny_polygon_size, std::vector<mvt_layer> const &bins);
+		     double tiny_polygon_size, std::vector<mvt_layer> const &bins,
+		     std::string const &accumulate_numeric);
 
 std::string overzoom(std::vector<input_tile> const &tiles, int nz, int nx, int ny,
-		     int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
+		     int detail, int buffer,
+		     std::set<std::string> const &keep,
+		     std::set<std::string> const &exclude,
+		     std::vector<std::string> const &exclude_prefix,
+		     bool do_compress,
 		     std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
 		     bool demultiply, json_object *filter, bool preserve_input_order,
 		     std::unordered_map<std::string, attribute_op> const &attribute_accum,
 		     std::vector<std::string> const &unidecode_data, double simplification,
-		     double tiny_polygon_size, std::vector<mvt_layer> const &bins);
+		     double tiny_polygon_size, std::vector<mvt_layer> const &bins,
+		     std::string const &accumulate_numeric);
 
 draw center_of_mass_mp(const drawvec &dv);
 

main.cpp

@@ -97,6 +97,7 @@ long long extend_zooms_max = 0;
 int retain_points_multiplier = 1;
 std::vector<std::string> unidecode_data;
 size_t maximum_string_attribute_length = 0;
+std::string accumulate_numeric;
 
 std::vector<order_field> order_by;
 bool order_reverse;
@@ -3084,7 +3085,7 @@ int main(int argc, char **argv) {
 		{"attribute-type", required_argument, 0, 'T'},
 		{"attribute-description", required_argument, 0, 'Y'},
 		{"accumulate-attribute", required_argument, 0, 'E'},
-		{"accumulate-numeric-attributes", no_argument, &additional[A_ACCUMULATE_NUMERIC], 1},
+		{"accumulate-numeric-attributes", required_argument, 0, '~'},
 		{"empty-csv-columns-are-null", no_argument, &prevent[P_EMPTY_CSV_COLUMNS], 1},
 		{"convert-stringified-ids-to-numbers", no_argument, &additional[A_CONVERT_NUMERIC_IDS], 1},
 		{"use-attribute-for-id", required_argument, 0, '~'},
@@ -3327,6 +3328,8 @@ int main(int argc, char **argv) {
 				unidecode_data = read_unidecode(optarg);
 			} else if (strcmp(opt, "maximum-string-attribute-length") == 0) {
 				maximum_string_attribute_length = atoll_require(optarg, "Maximum string attribute length");
+			} else if (strcmp(opt, "accumulate-numeric-attributes") == 0) {
+				accumulate_numeric = optarg;
 			} else {
 				fprintf(stderr, "%s: Unrecognized option --%s\n", argv[0], opt);
 				exit(EXIT_ARGS);

main.hpp

@@ -64,6 +64,7 @@ extern std::map<std::string, serial_val> set_attributes;
 extern long long extend_zooms_max;
 extern int retain_points_multiplier;
 extern size_t maximum_string_attribute_length;
+extern std::string accumulate_numeric;
 
 struct order_field {
 	std::string name;

options.hpp

@@ -12,7 +12,6 @@
 #define A_PREFER_RADIX_SORT ((int) 'R')
 #define A_COALESCE_DENSEST_AS_NEEDED ((int) 'S')
 #define A_CALCULATE_INDEX ((int) 'X')
-#define A_ACCUMULATE_NUMERIC ((int) 'a')
 #define A_DETECT_SHARED_BORDERS ((int) 'b')
 #define A_COALESCE ((int) 'c')
 #define A_DROP_FRACTION_AS_NEEDED ((int) 'd')

overzoom.cpp

@@ -22,8 +22,11 @@ bool preserve_input_order = false;
 std::unordered_map<std::string, attribute_op> attribute_accum;
 std::vector<std::string> unidecode_data;
 std::vector<mvt_layer> bins;
+std::string accumulate_numeric;
 
 std::set<std::string> keep;
+std::set<std::string> exclude;
+std::vector<std::string> exclude_prefix;
 
 void usage(char **argv) {
 	fprintf(stderr, "Usage: %s -o newtile.pbf.gz tile.pbf.gz oz/ox/oy nz/nx/ny\n", argv[0]);
@@ -45,6 +48,8 @@ int main(int argc, char **argv) {
 
 	struct option long_options[] = {
 		{"include", required_argument, 0, 'y'},
+		{"exclude", required_argument, 0, 'x'},
+		{"exclude-prefix", required_argument, 0, 'x' & 0x1F},
 		{"full-detail", required_argument, 0, 'd'},
 		{"buffer", required_argument, 0, 'b'},
 		{"output", required_argument, 0, 'o'},
@@ -57,6 +62,7 @@ int main(int argc, char **argv) {
 		{"tiny-polygon-size", required_argument, 0, 's' & 0x1F},
 		{"source-tile", required_argument, 0, 't'},
 		{"assign-to-bins", required_argument, 0, 'b' & 0x1F},
+		{"accumulate-numeric-attributes", required_argument, 0, 'a' & 0x1F},
 
 		{0, 0, 0, 0},
 	};
@@ -79,6 +85,14 @@ int main(int argc, char **argv) {
 			keep.insert(optarg);
 			break;
 
+		case 'x':
+			exclude.insert(optarg);
+			break;
+
+		case 'x' & 0x1F:
+			exclude_prefix.push_back(optarg);
+			break;
+
 		case 'o':
 			outfile = optarg;
 			break;
@@ -127,6 +141,10 @@ int main(int argc, char **argv) {
 			assign_to_bins = optarg;
 			break;
 
+		case 'a' & 0x1F:
+			accumulate_numeric = optarg;
+			break;
+
 		default:
 			fprintf(stderr, "Unrecognized flag -%c\n", i);
 			usage(argv);
@@ -227,7 +245,7 @@ int main(int argc, char **argv) {
 		its.push_back(std::move(t));
 	}
 
-	std::string out = overzoom(its, nz, nx, ny, detail, buffer, keep, true, NULL, demultiply, json_filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins);
+	std::string out = overzoom(its, nz, nx, ny, detail, buffer, keep, exclude, exclude_prefix, true, NULL, demultiply, json_filter, preserve_input_order, attribute_accum, unidecode_data, simplification, tiny_polygon_size, bins, accumulate_numeric);
 
 	FILE *f = fopen(outfile, "wb");
 	if (f == NULL) {

tests/ne_110m_populated_places_nulls/in.json

@@ -0,0 +1,243 @@
+{"type": "Feature", "properties": {"SCALERANK": 8, "NATSCALE": 10, "LABELRANK": 3, "FEATURECLA": "Admin-0 capital", "NAME": "Vatican City", "NAMEPAR": null, "NAMEALT": null, "DIFFASCII": 0, "NAMEASCII": "Vatican City", "ADM0CAP": 1.0, "CAPALT": null, "CAPIN": null, "WORLDCITY": 1.0, "MEGACITY": 0, "SOV0NAME": "Vatican (Holy Sea)", "SOV_A3": "VAT", "ADM0NAME": "Vatican (Holy Sea)", "ADM0_A3": "VAT", "ADM1NAME": "Lazio", "ISO_A2": "VA", "NOTE": null, "LATITUDE": 41.900012, "LONGITUDE": 12.447808, "CHANGED": 4.0, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 832, "POP_MIN": 832, "POP_OTHER": 562430, "RANK_MAX": 2, "RANK_MIN": 2, "GEONAMEID": 6691831.0, "MEGANAME": null, "LS_NAME": "Vatican City", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 636762.0, "MAX_POP20": 636762.0, "MAX_POP50": null, "MAX_POP300": null, "MAX_POP310": null, "MAX_NATSCA": 20.0, "MIN_AREAKM": 177.0, "MAX_AREAKM": 177.0, "MIN_AREAMI": 68.0, "MAX_AREAMI": 68.0, "MIN_PERKM": 160.0, "MAX_PERKM": 160.0, "MIN_PERMI": 99.0, "MAX_PERMI": 99.0, "MIN_BBXMIN": 12.333333, "MAX_BBXMIN": 12.333333, "MIN_BBXMAX": 12.481009, "MAX_BBXMAX": 12.481009, "MIN_BBYMIN": 41.766667, "MAX_BBYMIN": 41.766667, "MIN_BBYMAX": 42.05, "MAX_BBYMAX": 42.05, "MEAN_BBXC": 12.419907, "MEAN_BBYC": 41.903477, "COMPARE": 0, "GN_ASCII": "Vatican City", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": null, "GN_POP": 826.0, "ELEVATION": null, "GTOPO30": 17.0, "TIMEZONE": "Europe/Vatican", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_ADM0": null, "UN_LAT": null, "UN_LONG": null, "POP1950": null, "POP1955": null, "POP1960": null, "POP1965": null, "POP1970": null, "POP1975": null, "POP1980": null, "POP1985": null, "POP1990": null, "POP1995": null, "POP2000": null, "POP2005": null, "POP2010": null, "POP2015": null, "POP2020": null, "POP2025": null, "POP2050": null, "CITYALT": null, "clustered:unrelated": 0.3821250590959411}, "geometry": {"type": "Point", "coordinates": [12.453386, 41.903282]}}
+{"type": "Feature", "properties": {"SCALERANK": 7, "NATSCALE": 20, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "San Marino", "NAMEPAR": null, "NAMEALT": null, "DIFFASCII": 0, "NAMEASCII": "San Marino", "ADM0CAP": 1.0, "CAPALT": null, "CAPIN": null, "WORLDCITY": null, "MEGACITY": 0, "SOV0NAME": "San Marino", "SOV_A3": "SMR", "ADM0NAME": "San Marino", "ADM0_A3": "SMR", "ADM1NAME": null, "ISO_A2": "SM", "NOTE": null, "LATITUDE": 43.91715, "LONGITUDE": 12.46667, "CHANGED": null, "NAMEDIFF": 0, "DIFFNOTE": null, "POP_MAX": 29579, "POP_MIN": 29000, "POP_OTHER": 0, "RANK_MAX": 7, "RANK_MIN": 7, "GEONAMEID": 3168070.0, "MEGANAME": null, "LS_NAME": "San Marino", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 29088.0, "MAX_POP20": 29579.0, "MAX_POP50": null, "MAX_POP300": null, "MAX_POP310": null, "MAX_NATSCA": 20.0, "MIN_AREAKM": 30.0, "MAX_AREAKM": 30.0, "MIN_AREAMI": 11.0, "MAX_AREAMI": 11.0, "MIN_PERKM": 63.0, "MAX_PERKM": 63.0, "MIN_PERMI": 39.0, "MAX_PERMI": 39.0, "MIN_BBXMIN": 12.391667, "MAX_BBXMIN": 12.391667, "MIN_BBXMAX": 12.541667, "MAX_BBXMAX": 12.541667, "MIN_BBYMIN": 43.9, "MAX_BBYMIN": 43.9, "MIN_BBYMAX": 44.0, "MAX_BBYMAX": 44.0, "MEAN_BBXC": 12.462153, "MEAN_BBYC": 43.953472, "COMPARE": 0, "GN_ASCII": "San Marino", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 7.0, "GN_POP": 29000.0, "ELEVATION": null, "GTOPO30": 377.0, "TIMEZONE": "Europe/San_Marino", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_ADM0": null, "UN_LAT": null, "UN_LONG": null, "POP1950": null, "POP1955": null, "POP1960": null, "POP1965": null, "POP1970": null, "POP1975": null, "POP1980": null, "POP1985": null, "POP1990": null, "POP1995": null, "POP2000": null, "POP2005": null, "POP2010": null, "POP2015": null, "POP2020": null, "POP2025": null, "POP2050": null, "CITYALT": null}, "geometry": {"type": "Point", "coordinates": [12.44177, 43.936095]}}
+{"type": "Feature", "properties": {"SCALERANK": 7, "NATSCALE": 20, "LABELRANK": 0, "FEATURECLA": "Admin-0 capital", "NAME": "Vaduz", "NAMEPAR": null, "NAMEALT": null, "DIFFASCII": 0, "NAMEASCII": "Vaduz", "ADM0CAP": 1.0, "CAPALT": null, "CAPIN": null, "WORLDCITY": null, "MEGACITY": 0, "SOV0NAME": "Liechtenstein", "SOV_A3": "LIE", "ADM0NAME": "Liechtenstein", "ADM0_A3": "LIE", "ADM1NAME": null, "ISO_A2": "LI", "NOTE": null, "LATITUDE": 47.133724, "LONGITUDE": 9.516669, "CHANGED": null, "NAMEDIFF": 0, "DIFFNOTE": null, "POP_MAX": 36281, "POP_MIN": 5342, "POP_OTHER": 33009, "RANK_MAX": 7, "RANK_MIN": 5, "GEONAMEID": 3042030.0, "MEGANAME": null, "LS_NAME": "Vaduz", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 45442.0, "MAX_POP20": 45442.0, "MAX_POP50": null, "MAX_POP300": null, "MAX_POP310": null, "MAX_NATSCA": 20.0, "MIN_AREAKM": 45.0, "MAX_AREAKM": 45.0, "MIN_AREAMI": 17.0, "MAX_AREAMI": 17.0, "MIN_PERKM": 90.0, "MAX_PERKM": 90.0, "MIN_PERMI": 56.0, "MAX_PERMI": 56.0, "MIN_BBXMIN": 9.433333, "MAX_BBXMIN": 9.433333, "MIN_BBXMAX": 9.558333, "MAX_BBXMAX": 9.558333, "MIN_BBYMIN": 47.091667, "MAX_BBYMIN": 47.091667, "MIN_BBYMAX": 47.233333, "MAX_BBYMAX": 47.233333, "MEAN_BBXC": 9.503734, "MEAN_BBYC": 47.167478, "COMPARE": 0, "GN_ASCII": "Vaduz", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 11.0, "GN_POP": 5197.0, "ELEVATION": null, "GTOPO30": 711.0, "TIMEZONE": "Europe/Vaduz", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_ADM0": null, "UN_LAT": null, "UN_LONG": null, "POP1950": null, "POP1955": null, "POP1960": null, "POP1965": null, "POP1970": null, "POP1975": null, "POP1980": null, "POP1985": null, "POP1990": null, "POP1995": null, "POP2000": null, "POP2005": null, "POP2010": null, "POP2015": null, "POP2020": null, "POP2025": null, "POP2050": null, "CITYALT": null, "clustered:unrelated": 0.9259765121606202}, "geometry": {"type": "Point", "coordinates": [9.516669, 47.133723]}}
+{"type": "Feature", "properties": {"SCALERANK": 6, "NATSCALE": 30, "LABELRANK": 8, "FEATURECLA": "Admin-0 capital alt", "NAME": "Lobamba", "NAMEPAR": null, "NAMEALT": null, "DIFFASCII": 0, "NAMEASCII": "Lobamba", "ADM0CAP": null, "CAPALT": 1.0, "CAPIN": "Legislative and", "WORLDCITY": null, "MEGACITY": 0, "SOV0NAME": "Swaziland", "SOV_A3": "SWZ", "ADM0NAME": "Swaziland", "ADM0_A3": "SWZ", "ADM1NAME": "Manzini", "ISO_A2": "SZ", "NOTE": null, "LATITUDE": -26.466667, "LONGITUDE": 31.199997, "CHANGED": 4.0, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 9782, "POP_MIN": 4557, "POP_OTHER": 0, "RANK_MAX": 5, "RANK_MIN": 4, "GEONAMEID": 935048.0, "MEGANAME": null, "LS_NAME": "Lobamba", "LS_MATCH": 1, "CHECKME": 5, "MAX_POP10": 9782.0, "MAX_POP20": 9782.0, "MAX_POP50": 9782.0, "MAX_POP300": null, "MAX_POP310": null, "MAX_NATSCA": 50.0, "MIN_AREAKM": 18.0, "MAX_AREAKM": 18.0, "MIN_AREAMI": 7.0, "MAX_AREAMI": 7.0, "MIN_PERKM": 32.0, "MAX_PERKM": 32.0, "MIN_PERMI": 20.0, "MAX_PERMI": 20.0, "MIN_BBXMIN": 31.183333, "MAX_BBXMIN": 31.183333, "MIN_BBXMAX": 31.233333, "MAX_BBXMAX": 31.233333, "MIN_BBYMIN": -26.458333, "MAX_BBYMIN": -26.458333, "MIN_BBYMAX": -26.391667, "MAX_BBYMAX": -26.391667, "MEAN_BBXC": 31.201993, "MEAN_BBYC": -26.430254, "COMPARE": 0, "GN_ASCII": "Lobamba", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": null, "GN_POP": 4557.0, "ELEVATION": null, "GTOPO30": 651.0, "TIMEZONE": "Africa/Mbabane", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_ADM0": null, "UN_LAT": null, "UN_LONG": null, "POP1950": null, "POP1955": null, "POP1960": null, "POP1965": null, "POP1970": null, "POP1975": null, "POP1980": null, "POP1985": null, "POP1990": null, "POP1995": null, "POP2000": null, "POP2005": null, "POP2010": null, "POP2015": null, "POP2020": null, "POP2025": null, "POP2050": null, "CITYALT": null}, "geometry": {"type": "Point", "coordinates": [31.199997, -26.466667]}}
+{"type": "Feature", "properties": {"SCALERANK": 6, "NATSCALE": 30, "LABELRANK": 8, "FEATURECLA": "Admin-0 capital", "NAME": "Luxembourg", "NAMEPAR": null, "NAMEALT": null, "DIFFASCII": 0, "NAMEASCII": "Luxembourg", "ADM0CAP": 1.0, "CAPALT": null, "CAPIN": null, "WORLDCITY": null, "MEGACITY": 0, "SOV0NAME": "Luxembourg", "SOV_A3": "LUX", "ADM0NAME": "Luxembourg", "ADM0_A3": "LUX", "ADM1NAME": "Luxembourg", "ISO_A2": "LU", "NOTE": null, "LATITUDE": 49.61166, "LONGITUDE": 6.130003, "CHANGED": 4.0, "NAMEDIFF": 0, "DIFFNOTE": "Changed scale rank.", "POP_MAX": 107260, "POP_MIN": 76684, "POP_OTHER": 106219, "RANK_MAX": 9, "RANK_MIN": 8, "GEONAMEID": 2960316.0, "MEGANAME": null, "LS_NAME": "Luxembourg", "LS_MATCH": 1, "CHECKME": 0, "MAX_POP10": 107260.0, "MAX_POP20": 107260.0, "MAX_POP50": 107260.0, "MAX_POP300": null, "MAX_POP310": null, "MAX_NATSCA": 50.0, "MIN_AREAKM": 60.0, "MAX_AREAKM": 60.0, "MIN_AREAMI": 23.0, "MAX_AREAMI": 23.0, "MIN_PERKM": 71.0, "MAX_PERKM": 71.0, "MIN_PERMI": 44.0, "MAX_PERMI": 44.0, "MIN_BBXMIN": 6.041667, "MAX_BBXMIN": 6.041667, "MIN_BBXMAX": 6.183333, "MAX_BBXMAX": 6.183333, "MIN_BBYMIN": 49.558333, "MAX_BBYMIN": 49.558333, "MIN_BBYMAX": 49.708333, "MAX_BBYMAX": 49.708333, "MEAN_BBXC": 6.125273, "MEAN_BBYC": 49.620833, "COMPARE": 0, "GN_ASCII": "Luxembourg", "FEATURE_CL": "P", "FEATURE_CO": "PPLC", "ADMIN1_COD": 3.0, "GN_POP": 76684.0, "ELEVATION": null, "GTOPO30": 259.0, "TIMEZONE": "Europe/Luxembourg", "GEONAMESNO": "GeoNames match general.", "UN_FID": 0, "UN_ADM0": null, "UN_LAT": null, "UN_LONG": null, "POP1950": null, "POP1955": null, "POP1960": null, "POP1965": null, "POP1970": null, "POP1975": null, "POP1980": null, "POP1985": null, "POP1990": null, "POP1995": null, "POP2000": null, "POP2005": null, "POP2010": null, "POP2015": null, "POP2020": null, "POP2025": null, "POP2050": null, "CITYALT": null}, "geometry": {"type": "Point", "coordinates": [6.130002, 49.61166]}}
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tests/pbf/bin-11-327-791.pbf.out.json

@@ -1,12 +1,18 @@
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 ] }
 ] }

text.cpp

@@ -341,3 +341,17 @@ std::string truncate_string(std::string const &s, size_t len) {
 
 	return s.substr(0, i);
 }
+
+bool starts_with(std::string const &s, std::string const &prefix) {
+	if (s.size() < prefix.size()) {
+		return false;
+	}
+
+	for (size_t i = 0; i < prefix.size(); i++) {
+		if (s[i] != prefix[i]) {
+			return false;
+		}
+	}
+
+	return true;
+}

text.hpp

@@ -15,5 +15,6 @@ unsigned long long fnv1a(const char *s, char additional);
 unsigned long long fnv1a(size_t size, void *p);
 unsigned long long bit_reverse(unsigned long long v);
 std::string truncate_string(std::string const &s, size_t len);
+bool starts_with(std::string const &s, std::string const &prefix);
 
 #endif

tile-join.cpp

@@ -712,7 +712,9 @@ struct tileset_reader {
 			t.y = parent_tile.y;
 			tv.push_back(std::move(t));
 
-			std::string ret = overzoom(tv, tile.z, tile.x, tile.y, -1, buffer, std::set<std::string>(), false, &next_overzoomed_tiles, false, NULL, false, std::unordered_map<std::string, attribute_op>(), unidecode_data, 0, 0, std::vector<mvt_layer>());
+			std::string ret = overzoom(tv, tile.z, tile.x, tile.y, -1, buffer,
+						   std::set<std::string>(), std::set<std::string>(), std::vector<std::string>(),
+						   false, &next_overzoomed_tiles, false, NULL, false, std::unordered_map<std::string, attribute_op>(), unidecode_data, 0, 0, std::vector<mvt_layer>(), "");
 			return ret;
 		}
 

tile.cpp

@@ -1454,17 +1454,14 @@ void promote_attribute_prefix(std::string const &key, std::string const &prefixe
 
 		return;
 	}
-}
 
-std::map<std::string, attribute_op> numeric_operations = {
+	// it does not exist, so preserve_attribute() will create it
-	{"sum", op_sum},
+}
-	{"min", op_min},
-	{"max", op_max},
-	{"count", op_count},
-};
 
 // accumulate attribute values from sf onto p
 void preserve_attributes(std::unordered_map<std::string, attribute_op> const *attribute_accum, const serial_feature &sf, serial_feature &p) {
+	std::string accumulate_numeric_colon = accumulate_numeric + ":";
+
 	for (size_t i = 0; i < sf.keys.size(); i++) {
 		std::string key = sf.stringpool + sf.keys[i] + 1;
 		int type = sf.stringpool[sf.values[i]];
@@ -1477,13 +1474,13 @@ void preserve_attributes(std::unordered_map<std::string, attribute_op> const *at
 
 			promote_attribute(key, p);
 			preserve_attribute(f->second, key, sv, p.full_keys, p.full_values, p.attribute_accum_state);
-		} else if (type == mvt_double && additional[A_ACCUMULATE_NUMERIC]) {
+		} else if (type == mvt_double && accumulate_numeric.size() > 0 && !starts_with(key, accumulate_numeric_colon)) {
 			for (auto const &operation : numeric_operations) {
 				serial_val sv;
 				sv.type = sf.stringpool[sf.values[i]];
 				sv.s = sf.stringpool + sf.values[i] + 1;
 
-				std::string prefixed_key = "tippecanoe:" + operation.first + ":" + key;
+				std::string prefixed_key = accumulate_numeric + ":" + operation.first + ":" + key;
 				promote_attribute_prefix(key, prefixed_key, p);
 				preserve_attribute(operation.second, prefixed_key, sv, p.full_keys, p.full_values, p.attribute_accum_state);
 			}
@@ -1499,9 +1496,9 @@ void preserve_attributes(std::unordered_map<std::string, attribute_op> const *at
 
 			promote_attribute(key, p);  // promotes it in the target feature
 			preserve_attribute(f->second, key, sv, p.full_keys, p.full_values, p.attribute_accum_state);
-		} else if (type == mvt_double && additional[A_ACCUMULATE_NUMERIC]) {
+		} else if (type == mvt_double && accumulate_numeric.size() > 0 && !starts_with(key, accumulate_numeric_colon)) {
 			for (auto const &operation : numeric_operations) {
-				std::string prefixed_key = "tippecanoe:" + operation.first + ":" + key;
+				std::string prefixed_key = accumulate_numeric + ":" + operation.first + ":" + key;
 				promote_attribute_prefix(key, prefixed_key, p);
 				preserve_attribute(operation.second, prefixed_key, sf.full_values[i], p.full_keys, p.full_values, p.attribute_accum_state);
 			}

version.hpp

@@ -1,6 +1,6 @@
 #ifndef VERSION_HPP
 #define VERSION_HPP
 
-#define VERSION "v2.62.2"
+#define VERSION "v2.62.3"
 
 #endif