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Diffstat (limited to 'src/geohash_helper.c')
-rw-r--r-- | src/geohash_helper.c | 280 |
1 files changed, 280 insertions, 0 deletions
diff --git a/src/geohash_helper.c b/src/geohash_helper.c new file mode 100644 index 0000000..a3816fb --- /dev/null +++ b/src/geohash_helper.c @@ -0,0 +1,280 @@ +/* + * Copyright (c) 2013-2014, yinqiwen <yinqiwen@gmail.com> + * Copyright (c) 2014, Matt Stancliff <matt@genges.com>. + * Copyright (c) 2015-2016, Salvatore Sanfilippo <antirez@gmail.com>. + * All rights reserved. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * * Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * * Redistributions in binary form must reproduce the above copyright + * notice, this list of conditions and the following disclaimer in the + * documentation and/or other materials provided with the distribution. + * * Neither the name of Redis nor the names of its contributors may be used + * to endorse or promote products derived from this software without + * specific prior written permission. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS + * BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF + * THE POSSIBILITY OF SUCH DAMAGE. + */ + +/* This is a C++ to C conversion from the ardb project. + * This file started out as: + * https://github.com/yinqiwen/ardb/blob/d42503/src/geo/geohash_helper.cpp + */ + +#include "fmacros.h" +#include "geohash_helper.h" +#include "debugmacro.h" +#include <math.h> + +#define D_R (M_PI / 180.0) +#define R_MAJOR 6378137.0 +#define R_MINOR 6356752.3142 +#define RATIO (R_MINOR / R_MAJOR) +#define ECCENT (sqrt(1.0 - (RATIO *RATIO))) +#define COM (0.5 * ECCENT) + +/// @brief The usual PI/180 constant +const double DEG_TO_RAD = 0.017453292519943295769236907684886; +/// @brief Earth's quatratic mean radius for WGS-84 +const double EARTH_RADIUS_IN_METERS = 6372797.560856; + +const double MERCATOR_MAX = 20037726.37; +const double MERCATOR_MIN = -20037726.37; + +static inline double deg_rad(double ang) { return ang * D_R; } +static inline double rad_deg(double ang) { return ang / D_R; } + +/* This function is used in order to estimate the step (bits precision) + * of the 9 search area boxes during radius queries. */ +uint8_t geohashEstimateStepsByRadius(double range_meters, double lat) { + if (range_meters == 0) return 26; + int step = 1; + while (range_meters < MERCATOR_MAX) { + range_meters *= 2; + step++; + } + step -= 2; /* Make sure range is included in most of the base cases. */ + + /* Wider range towards the poles... Note: it is possible to do better + * than this approximation by computing the distance between meridians + * at this latitude, but this does the trick for now. */ + if (lat > 66 || lat < -66) { + step--; + if (lat > 80 || lat < -80) step--; + } + + /* Frame to valid range. */ + if (step < 1) step = 1; + if (step > 26) step = 26; + return step; +} + +/* Return the bounding box of the search area by shape (see geohash.h GeoShape) + * bounds[0] - bounds[2] is the minimum and maximum longitude + * while bounds[1] - bounds[3] is the minimum and maximum latitude. + * since the higher the latitude, the shorter the arc length, the box shape is as follows + * (left and right edges are actually bent), as shown in the following diagram: + * + * \-----------------/ -------- \-----------------/ + * \ / / \ \ / + * \ (long,lat) / / (long,lat) \ \ (long,lat) / + * \ / / \ / \ + * --------- /----------------\ /---------------\ + * Northern Hemisphere Southern Hemisphere Around the equator + */ +int geohashBoundingBox(GeoShape *shape, double *bounds) { + if (!bounds) return 0; + double longitude = shape->xy[0]; + double latitude = shape->xy[1]; + double height = shape->conversion * (shape->type == CIRCULAR_TYPE ? shape->t.radius : shape->t.r.height/2); + double width = shape->conversion * (shape->type == CIRCULAR_TYPE ? shape->t.radius : shape->t.r.width/2); + + const double lat_delta = rad_deg(height/EARTH_RADIUS_IN_METERS); + const double long_delta_top = rad_deg(width/EARTH_RADIUS_IN_METERS/cos(deg_rad(latitude+lat_delta))); + const double long_delta_bottom = rad_deg(width/EARTH_RADIUS_IN_METERS/cos(deg_rad(latitude-lat_delta))); + /* The directions of the northern and southern hemispheres + * are opposite, so we choice different points as min/max long/lat */ + int southern_hemisphere = latitude < 0 ? 1 : 0; + bounds[0] = southern_hemisphere ? longitude-long_delta_bottom : longitude-long_delta_top; + bounds[2] = southern_hemisphere ? longitude+long_delta_bottom : longitude+long_delta_top; + bounds[1] = latitude - lat_delta; + bounds[3] = latitude + lat_delta; + return 1; +} + +/* Calculate a set of areas (center + 8) that are able to cover a range query + * for the specified position and shape (see geohash.h GeoShape). + * the bounding box saved in shaple.bounds */ +GeoHashRadius geohashCalculateAreasByShapeWGS84(GeoShape *shape) { + GeoHashRange long_range, lat_range; + GeoHashRadius radius; + GeoHashBits hash; + GeoHashNeighbors neighbors; + GeoHashArea area; + double min_lon, max_lon, min_lat, max_lat; + int steps; + + geohashBoundingBox(shape, shape->bounds); + min_lon = shape->bounds[0]; + min_lat = shape->bounds[1]; + max_lon = shape->bounds[2]; + max_lat = shape->bounds[3]; + + double longitude = shape->xy[0]; + double latitude = shape->xy[1]; + /* radius_meters is calculated differently in different search types: + * 1) CIRCULAR_TYPE, just use radius. + * 2) RECTANGLE_TYPE, we use sqrt((width/2)^2 + (height/2)^2) to + * calculate the distance from the center point to the corner */ + double radius_meters = shape->type == CIRCULAR_TYPE ? shape->t.radius : + sqrt((shape->t.r.width/2)*(shape->t.r.width/2) + (shape->t.r.height/2)*(shape->t.r.height/2)); + radius_meters *= shape->conversion; + + steps = geohashEstimateStepsByRadius(radius_meters,latitude); + + geohashGetCoordRange(&long_range,&lat_range); + geohashEncode(&long_range,&lat_range,longitude,latitude,steps,&hash); + geohashNeighbors(&hash,&neighbors); + geohashDecode(long_range,lat_range,hash,&area); + + /* Check if the step is enough at the limits of the covered area. + * Sometimes when the search area is near an edge of the + * area, the estimated step is not small enough, since one of the + * north / south / west / east square is too near to the search area + * to cover everything. */ + int decrease_step = 0; + { + GeoHashArea north, south, east, west; + + geohashDecode(long_range, lat_range, neighbors.north, &north); + geohashDecode(long_range, lat_range, neighbors.south, &south); + geohashDecode(long_range, lat_range, neighbors.east, &east); + geohashDecode(long_range, lat_range, neighbors.west, &west); + + if (north.latitude.max < max_lat) + decrease_step = 1; + if (south.latitude.min > min_lat) + decrease_step = 1; + if (east.longitude.max < max_lon) + decrease_step = 1; + if (west.longitude.min > min_lon) + decrease_step = 1; + } + + if (steps > 1 && decrease_step) { + steps--; + geohashEncode(&long_range,&lat_range,longitude,latitude,steps,&hash); + geohashNeighbors(&hash,&neighbors); + geohashDecode(long_range,lat_range,hash,&area); + } + + /* Exclude the search areas that are useless. */ + if (steps >= 2) { + if (area.latitude.min < min_lat) { + GZERO(neighbors.south); + GZERO(neighbors.south_west); + GZERO(neighbors.south_east); + } + if (area.latitude.max > max_lat) { + GZERO(neighbors.north); + GZERO(neighbors.north_east); + GZERO(neighbors.north_west); + } + if (area.longitude.min < min_lon) { + GZERO(neighbors.west); + GZERO(neighbors.south_west); + GZERO(neighbors.north_west); + } + if (area.longitude.max > max_lon) { + GZERO(neighbors.east); + GZERO(neighbors.south_east); + GZERO(neighbors.north_east); + } + } + radius.hash = hash; + radius.neighbors = neighbors; + radius.area = area; + return radius; +} + +GeoHashFix52Bits geohashAlign52Bits(const GeoHashBits hash) { + uint64_t bits = hash.bits; + bits <<= (52 - hash.step * 2); + return bits; +} + +/* Calculate distance using simplified haversine great circle distance formula. + * Given longitude diff is 0 the asin(sqrt(a)) on the haversine is asin(sin(abs(u))). + * arcsin(sin(x)) equal to x when x ∈[−𝜋/2,𝜋/2]. Given latitude is between [−𝜋/2,𝜋/2] + * we can simplify arcsin(sin(x)) to x. + */ +double geohashGetLatDistance(double lat1d, double lat2d) { + return EARTH_RADIUS_IN_METERS * fabs(deg_rad(lat2d) - deg_rad(lat1d)); +} + +/* Calculate distance using haversine great circle distance formula. */ +double geohashGetDistance(double lon1d, double lat1d, double lon2d, double lat2d) { + double lat1r, lon1r, lat2r, lon2r, u, v, a; + lon1r = deg_rad(lon1d); + lon2r = deg_rad(lon2d); + v = sin((lon2r - lon1r) / 2); + /* if v == 0 we can avoid doing expensive math when lons are practically the same */ + if (v == 0.0) + return geohashGetLatDistance(lat1d, lat2d); + lat1r = deg_rad(lat1d); + lat2r = deg_rad(lat2d); + u = sin((lat2r - lat1r) / 2); + a = u * u + cos(lat1r) * cos(lat2r) * v * v; + return 2.0 * EARTH_RADIUS_IN_METERS * asin(sqrt(a)); +} + +int geohashGetDistanceIfInRadius(double x1, double y1, + double x2, double y2, double radius, + double *distance) { + *distance = geohashGetDistance(x1, y1, x2, y2); + if (*distance > radius) return 0; + return 1; +} + +int geohashGetDistanceIfInRadiusWGS84(double x1, double y1, double x2, + double y2, double radius, + double *distance) { + return geohashGetDistanceIfInRadius(x1, y1, x2, y2, radius, distance); +} + +/* Judge whether a point is in the axis-aligned rectangle, when the distance + * between a searched point and the center point is less than or equal to + * height/2 or width/2 in height and width, the point is in the rectangle. + * + * width_m, height_m: the rectangle + * x1, y1 : the center of the box + * x2, y2 : the point to be searched + */ +int geohashGetDistanceIfInRectangle(double width_m, double height_m, double x1, double y1, + double x2, double y2, double *distance) { + /* latitude distance is less expensive to compute than longitude distance + * so we check first for the latitude condition */ + double lat_distance = geohashGetLatDistance(y2, y1); + if (lat_distance > height_m/2) { + return 0; + } + double lon_distance = geohashGetDistance(x2, y2, x1, y2); + if (lon_distance > width_m/2) { + return 0; + } + *distance = geohashGetDistance(x1, y1, x2, y2); + return 1; +} |