[postgis-tickets] r17140 - More robust geography distance
Paul Ramsey
pramsey at cleverelephant.ca
Fri Jan 11 01:45:25 PST 2019
Author: pramsey
Date: 2019-01-11 13:45:25 -0800 (Fri, 11 Jan 2019)
New Revision: 17140
Modified:
branches/2.3/NEWS
branches/2.3/liblwgeom/cunit/cu_tree.c
branches/2.3/liblwgeom/lwgeodetic.c
branches/2.3/liblwgeom/lwgeodetic_tree.c
Log:
More robust geography distance
References #4290
Modified: branches/2.3/NEWS
===================================================================
--- branches/2.3/NEWS 2019-01-11 21:26:01 UTC (rev 17139)
+++ branches/2.3/NEWS 2019-01-11 21:45:25 UTC (rev 17140)
@@ -7,6 +7,7 @@
WARNING: REINDEX your ND index on tables that have records with different M/Z
dimensions for &&& operator to work predictably.
(Darafei Praliaskouski, Arthur Lesuisse, Andrew Gierth, Raúl Marín)
+ - #4290, More robust distance calculations in geography (Paul Ramsey)
- #4267, Enable Proj 6 deprecated APIs (Darafei Praliaskouski, Raúl Marín)
Modified: branches/2.3/liblwgeom/cunit/cu_tree.c
===================================================================
--- branches/2.3/liblwgeom/cunit/cu_tree.c 2019-01-11 21:26:01 UTC (rev 17139)
+++ branches/2.3/liblwgeom/cunit/cu_tree.c 2019-01-11 21:45:25 UTC (rev 17140)
@@ -325,6 +325,23 @@
CU_ASSERT_DOUBLE_EQUAL(d1, d3, 0.00000001);
CU_ASSERT_DOUBLE_EQUAL(d1, d4, 0.00000001);
+
+ /* Ticket #4290 */
+ const char *wkb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
00EFBB78B87AE4240808E3F67CD3853C0CB8F98BA89AE424017254174CC3853C00009721A8CAE4240436C3263CB3853C0EF9949DF8EAE4240057FBDCCC93853C0ACED431E8FAE424091FA48EBC83853C0207A62318DAE42406547459BC93853C00C6D9A7589AE42403DFF116DCA3853C01975C78086AE4240C714705FCB3853C0733EF0EE83AE424008E42D13CC3853C06956165F81AE42406690DC24CD3853C083133FCC7EAE424023A4BC95CE3853C0DA29619A7CAE42405ABD4BE7CF3853C0961783697AAE4240D8F7BC78D13853C051319E9A78AE42401D3FDDEAD23853C0EF21B9CC76AE424023BB7A1CD43853C0F6D6DC6A74AE4240981CE8EED43853C0392707A871AE424093F044E1D53853C054D72C166FAE4240EACEF2B4D63853C0AA5050B76CAE4240D0495E87D73853C0EF8B7AF469AE424026A6A8DAD73853C072ADAD9F66AE4240C0F551B1D73853C056C2DE8063AE4240C3526E6CD73853C0C891FB8E61AE424023C21A02D83853C0E9E71C645FAE4240D2669AF7D83853C0693535CC5DAE4240EE32DAE8DA3853C0D77446905CAE42405C718A7BDC3853C04FB759255BAE424010B966ECDD3853C0C2747AF358AE4240899E13C0DE3853C085849D9456AE42405B9A7F92DF3853C0A24AC7D153AE4240BD371805E03853C0C338FA7B50AE4240E8A511FBDF3853C0DC4D
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
+ const char *wkb2 = "0103000020E610000001000000080000002CAFE119EF2F53C02D6D4097DFBE42400050FBE7F32F53C05A08B32BD9BE42402ED0C3E9E52F53C0132FFFAE9DBE424048885052FE2F53C0DE5D06256BBE42409534CFEF163053C07D170F98ADBE42402E72095F303053C025ECD50CEABE424059CE3A7C103053C0235393C114BF42402CAFE119EF2F53C02D6D4097DFBE4240";
+ spheroid_init(&s, WGS84_MAJOR_AXIS, WGS84_MINOR_AXIS);
+ lwg1 = lwgeom_from_hexwkb(wkb1, LW_PARSER_CHECK_NONE);
+ lwg2 = lwgeom_from_hexwkb(wkb2, LW_PARSER_CHECK_NONE);
+ c1 = lwgeom_calculate_circ_tree(lwg1);
+ c2 = lwgeom_calculate_circ_tree(lwg2);
+ d1 = lwgeom_distance_spheroid(lwg1, lwg2, &s, threshold);
+ d2 = circ_tree_distance_tree(c1, c2, &s, threshold);
+ circ_tree_free(c1);
+ circ_tree_free(c2);
+ lwgeom_free(lwg1);
+ lwgeom_free(lwg2);
+ CU_ASSERT_DOUBLE_EQUAL(d1, 18358.866, 0.01);
+ CU_ASSERT_DOUBLE_EQUAL(d2, 18358.866, 0.01);
}
static void test_tree_circ_distance_threshold(void)
Modified: branches/2.3/liblwgeom/lwgeodetic.c
===================================================================
--- branches/2.3/liblwgeom/lwgeodetic.c 2019-01-11 21:26:01 UTC (rev 17139)
+++ branches/2.3/liblwgeom/lwgeodetic.c 2019-01-11 21:45:25 UTC (rev 17140)
@@ -3066,13 +3066,46 @@
/* The projection of start onto the center defines the minimum similarity */
min_similarity = dot_product(A1, &AC);
- /* The projection of candidate p onto the center */
- similarity = dot_product(P, &AC);
+ /* If the edge is sufficiently curved, use the dot product test */
+ if (fabs(1.0 - min_similarity) > 1e-10 )
+ {
+ /* The projection of candidate p onto the center */
+ similarity = dot_product(P, &AC);
- /* If the point is more similar than the end, the point is in the cone */
- if ( similarity > min_similarity || fabs(similarity - min_similarity) < 2e-16 )
+ /* If the projection of the candidate is larger than */
+ /* the projection of the start point, the candidate */
+ /* must be closer to the center than the start, so */
+ /* therefor inside the cone */
+ if ( similarity > min_similarity )
+ {
+ return LW_TRUE;
+ }
+ else
+ {
+ return LW_FALSE;
+ }
+ }
+ else
{
- return LW_TRUE;
+ /* Where the edge is very narrow, the dot product test */
+ /* fails, but we can use the almost-planar nature of the */
+ /* problem space then to test if the vector from the */
+ /* candidate to the start point in a different direction */
+ /* to the vector from candidate to end point */
+ /* If so, then candidate is between start and end */
+ POINT3D PA1, PA2;
+ vector_difference(P, A1, &PA1);
+ vector_difference(P, A2, &PA2);
+ normalize(&PA1);
+ normalize(&PA2);
+ if (dot_product(&PA1, &PA2) < 0.0)
+ {
+ return LW_TRUE;
+ }
+ else
+ {
+ return LW_FALSE;
+ }
}
return LW_FALSE;
}
@@ -3120,6 +3153,7 @@
/* Are A-plane and B-plane basically the same? */
ab_dot = dot_product(&AN, &BN);
+
if ( FP_EQUALS(fabs(ab_dot), 1.0) )
{
/* Co-linear case */
Modified: branches/2.3/liblwgeom/lwgeodetic_tree.c
===================================================================
--- branches/2.3/liblwgeom/lwgeodetic_tree.c 2019-01-11 21:26:01 UTC (rev 17139)
+++ branches/2.3/liblwgeom/lwgeodetic_tree.c 2019-01-11 21:45:25 UTC (rev 17140)
@@ -541,8 +541,6 @@
c = 0;
for ( i = 0; i < node->num_nodes; i++ )
{
- LWDEBUG(3,"internal node calculation");
- LWDEBUGF(3," calling circ_tree_contains_point on child %d!", i);
c += circ_tree_contains_point(node->nodes[i], pt, pt_outside, on_boundary);
}
return c % 2;
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