使用PostGIS完成两点间的河流轨迹及流经长度的计算
基础准备工作
1.PostGIS 的安装
在安装PostGIS前首先必须安装PostgreSQL,然后再安装好的Stack Builder中选择安装PostGIS组件。具体安装步骤可参照 PostGIS的安装与初步使用_不睡觉的怪叔叔的博客-CSDN博客_postgis
2.加载Post GIS扩展
选中指定数据库,执行加载扩展语句
–添加支持 CREATE EXTENSION postgis; --添加postgis扩展 CREATE EXTENSION pgrouting; --添加pgrouting扩展 CREATE EXTENSION postgis_topology; CREATE EXTENSION fuzzystrmatch; CREATE EXTENSION postgis_tiger_geocoder;
在做两点间河流轨迹及流经长度计算过程中,需要加载postgis和pgrouting两个扩展
可以通过查看加载扩展的版本验证扩展加载是否成功
–查看postgresql版本 show server_version; –查看postgis版本 SELECT PostGIS_full_version(); –查看pgrouting版本 select pgr_version();
3.河流矢量图层转成单线格式
河流包括各种汇入和汇出,为了实现流经流域的计算,河流水系矢量数据需要一个河流一个ID的方式,可以在河流交汇点处将河流进行打段处理。
4.河流矢量数据导入PostgreSQL数据库
打开位于“开始>所有程序>PostGIS 2.3 bundle for PostgreSQL”之中的PostGIS Shapefile Import/Export Manager。
首先单击"View connection details"按钮,打开"PostGIS connection"对话框,输入用户名"postgres"及其对应的密码,设置连接的数据库,如下图所示:
连接数据库之后,单击"Add file"按钮,加入***.shp文件,并将其SRID设置为"4326",如下图所示。这一步绝对不能省略,否则不能正确导入数据。
5.河流数据拓扑处理
在数据分析过程中,使用到了pgrouting扩展中的 pgr_dijkstra 算法
Dijkstra算法(迪杰斯特拉算法),由荷兰计算机科学家Edsger Dijkstra于1956年提出。它是一种图搜索算法,它解决了非负代价边路径图的最短路径问题,即从起始顶点(start_vid)到结束顶点(end_vid)的最短路径。此算法可以与有向图或无向图一起使用。
函数的签名摘要:
在实际使用中,需要先明确所有的顶点,并为所有顶点分配唯一的编号,函数的 start_vid 和 end_vid 都是整型数值,函数使用edges_sql参数(sql脚本)筛选出和顶点相邻的所有边信息(即河流信息)。
所以,在使用pgr_dijkstra方法前,需要
- 对找到河流的所有顶点信息,并做唯一整型值编号
- 在数据库中为每条河流设置好起始顶点和结束顶点
--筛选出所有顶点信息,st_dump函数主要是将MultiLineString类型 调整成 LineString类型 select st_astext(st_startpoint((ST_Dump(geom)).geom)) from singleriver union select st_astext(st_endpoint((ST_Dump(geom)).geom)) from singleriver
将查询结果在Excel中进行整型值编号,再导入到postgresql中的新建表 distinctpoint 中,然后关联河流数据表,更新河流的开始顶点(source)和结束顶点编号(target)
--更新起始顶点编号 update singleriver q set source=tt.sourcepoint from singleriver s, (select gid,p.id as sourcepoint from (select gid,st_astext(st_startpoint((ST_Dump(geom)).geom)) as startpoint, st_astext(st_endpoint((ST_Dump(geom)).geom)) as endpoint from singleriver )s left join distinctpoint p on s.startpoint=p.point) tt where q.gid=tt.gid
--插入结束顶点编号 update singleriver q set target=tt.endpoint from singleriver s, (select gid,p.id as endpoint from (select gid,st_astext(st_startpoint((ST_Dump(geom)).geom)) as startpoint, st_astext(st_endpoint((ST_Dump(geom)).geom)) as endpoint from singleriver )s left join distinctpoint p on s.endpoint=p.point) tt where q.gid=tt.gid
至此,河流拓扑数据处理完成
PG分析处理函数
1.函数编写
方式一:TABLE输出
CREATE OR REPLACE FUNCTION "public"."pgr_shortest_river"(IN "startx" float8, IN "starty" float8, IN "endx" float8, IN "endy" float8) RETURNS TABLE ("river_name" varchar, "v_shpath" varchar, "cost" float8) AS $BODY$ declare --river_name varchar; --v_shPath varchar; --cost float8; v_startLine geometry;--离起点最近的线 v_endLine geometry;--离终点最近的线 v_startTarget integer;--距离起点最近线的终点 v_endSource integer;--距离终点最近线的起点 v_statpoint geometry;--在v_startLine上距离起点最近的点 v_endpoint geometry;--在v_endLine上距离终点最近的点 v_res geometry;--最短路径分析结果 v_perStart float;--v_statpoint在v_res上的百分比 v_perEnd float;--v_endpoint在v_res上的百分比 v_rec record; first_name varchar; end_name varchar; first_cost double precision; end_cost double precision; begin --查询离起点最近的线 execute 'select (st_dump(geom)).geom as geom,target as target,name from singleriver where ST_DWithin(geom,ST_Geometryfromtext(''point('|| startx ||' ' || starty||')''),0.01) order by ST_Distance(geom,ST_GeometryFromText(''point('|| startx ||' '|| starty ||')'')) limit 1' into v_startLine ,v_startTarget,first_name; raise notice '河流名称%',first_name; --查询离终点最近的线 execute 'select (st_dump(geom)).geom as geom,"source" as source,name from singleriver where ST_DWithin(geom,ST_Geometryfromtext(''point('|| endx || ' ' || endy ||')''),0.01) order by ST_Distance(geom,ST_GeometryFromText(''point('|| endx ||' ' || endy ||')'')) limit 1' into v_endLine,v_endSource,end_name; --如果没找到最近的线,就返回null if (v_startLine is null) or (v_endLine is null) then return; end if ; select ST_ClosestPoint(v_startLine, ST_Geometryfromtext('point('|| startx ||' ' || starty ||')')) into v_statpoint; select ST_ClosestPoint(v_endLine, ST_GeometryFromText('point('|| endx ||' ' || endy ||')')) into v_endpoint; --计算距离起点最近线上的点在该线中的位置 select st_linelocatepoint(st_linemerge(v_startLine), v_statpoint) into v_perStart; select st_linelocatepoint(st_linemerge(v_endLine), v_endpoint) into v_perEnd; select st_distancesphere(v_statpoint,ST_PointN(ST_GeometryN(v_startLine,1), ST_NumPoints(ST_GeometryN(v_startLine,1)))) into first_cost; select st_distancesphere(ST_PointN(ST_GeometryN(v_endLine,1),1),v_endpoint) into end_cost; --查询的两个位置在同一条河流上时 if (ST_Intersects(st_buffer(v_statpoint,0.0001), v_startLine) and ST_Intersects(st_buffer(v_endpoint,0.0001), v_startLine)) then select st_linelocatepoint(st_linemerge(v_startLine), v_endpoint) into v_perEnd; for v_rec in select st_linesubstring(st_linemerge(v_startLine), case when v_perStart<v_perEnd then v_perStart else v_perEnd end,case when v_perStart>v_perEnd then v_perStart else v_perEnd end) as point,COALESCE(end_name,'无名河流') as name,st_length ( st_transform ( st_setsrid( st_linesubstring ( v_startLine, case when v_perStart<v_perEnd then v_perStart else v_perEnd end,case when v_perStart>v_perEnd then v_perStart else v_perEnd end), 4326), 3857 ) ) as cost loop v_shPath:= ST_AsGeoJSON(v_rec.point); cost:= v_rec.cost; river_name:= v_rec.name; return next; end loop; return; end if; --最短路径 for v_rec in (select st_linesubstring(st_linemerge(v_startLine),v_perStart,1) as point,COALESCE(first_name,'无名河流') as name,first_cost as cost union all SELECT st_linemerge(b.geom) as point,COALESCE(b.name,'无名河流') as name,st_length(geom, false) as cost FROM pgr_dijkstra( 'SELECT gid as id, source, target, st_length(geom, false) as cost FROM singleriver where st_intersects(geom,st_buffer(st_linefromtext(''linestring('||startx||' ' || starty ||','|| endx ||' ' || endy ||')''),0.05))', v_startTarget, v_endSource , false ) a, singleriver b WHERE a.edge = b.gid union all select st_linesubstring(st_linemerge(v_endLine),0,v_perEnd) as point,COALESCE(end_name,'无名河流') as name,end_cost as cost) loop v_shPath:= ST_AsGeoJSON(v_rec.point); cost:= v_rec.cost; river_name:= v_rec.name; return next; end loop; end; $BODY$ LANGUAGE plpgsql VOLATILE STRICT COST 100 ROWS 1000
函数调用方式
select * from pgr_shortest_river(114.34339155124664,27.85120700316823,114.44430856192854,27.839804751500512)
方式二: setof record 输出
CREATE OR REPLACE FUNCTION "public"."pgr_shortest_river"(IN "startx" float8, IN "starty" float8, IN "endx" float8, IN "endy" float8, OUT "river_name" varchar, OUT "v_shpath" varchar, OUT "cost" float8) RETURNS SETOF "pg_catalog"."record" AS $BODY$ declare v_startLine geometry;--离起点最近的线 v_endLine geometry;--离终点最近的线 v_startTarget integer;--距离起点最近线的终点 v_endSource integer;--距离终点最近线的起点 v_statpoint geometry;--在v_startLine上距离起点最近的点 v_endpoint geometry;--在v_endLine上距离终点最近的点 v_res geometry;--最短路径分析结果 v_perStart float;--v_statpoint在v_res上的百分比 v_perEnd float;--v_endpoint在v_res上的百分比 v_rec record; first_name varchar; end_name varchar; first_cost double precision; end_cost double precision; begin --查询离起点最近的线 execute 'select (st_dump(geom)).geom as geom,target as target,name from singleriver where ST_DWithin(geom,ST_Geometryfromtext(''point('|| startx ||' ' || starty||')''),0.01) order by ST_Distance(geom,ST_GeometryFromText(''point('|| startx ||' '|| starty ||')'')) limit 1' into v_startLine ,v_startTarget,first_name; raise notice '起点线段%',v_startLine; raise notice '起点位置%',v_startTarget; raise notice '河流名称%',first_name; --查询离终点最近的线 execute 'select (st_dump(geom)).geom as geom,"source" as source,name from singleriver where ST_DWithin(geom,ST_Geometryfromtext(''point('|| endx || ' ' || endy ||')''),0.01) order by ST_Distance(geom,ST_GeometryFromText(''point('|| endx ||' ' || endy ||')'')) limit 1' into v_endLine,v_endSource,end_name; --如果没找到最近的线,就返回null if (v_startLine is null) or (v_endLine is null) then return; end if ; select ST_ClosestPoint(v_startLine, ST_Geometryfromtext('point('|| startx ||' ' || starty ||')')) into v_statpoint; select ST_ClosestPoint(v_endLine, ST_GeometryFromText('point('|| endx ||' ' || endy ||')')) into v_endpoint; --计算距离起点最近线上的点在该线中的位置 select st_linelocatepoint(st_linemerge(v_startLine), v_statpoint) into v_perStart; select st_linelocatepoint(st_linemerge(v_endLine), v_endpoint) into v_perEnd; select st_distancesphere(v_statpoint,ST_PointN(ST_GeometryN(v_startLine,1), ST_NumPoints(ST_GeometryN(v_startLine,1)))) into first_cost; select st_distancesphere(ST_PointN(ST_GeometryN(v_endLine,1),1),v_endpoint) into end_cost; --查询的两个位置在同一条河流上时 if (ST_Intersects(st_buffer(v_statpoint,0.0001), v_startLine) and ST_Intersects(st_buffer(v_endpoint,0.0001), v_startLine)) then select st_linelocatepoint(st_linemerge(v_startLine), v_endpoint) into v_perEnd; for v_rec in select st_linesubstring(st_linemerge(v_startLine), case when v_perStart<v_perEnd then v_perStart else v_perEnd end,case when v_perStart>v_perEnd then v_perStart else v_perEnd end) as point,COALESCE(end_name,'无名河流') as name,st_length ( st_transform ( st_setsrid( st_linesubstring ( v_startLine, case when v_perStart<v_perEnd then v_perStart else v_perEnd end,case when v_perStart>v_perEnd then v_perStart else v_perEnd end), 4326), 3857 ) ) as cost loop v_shPath:= ST_AsGeoJSON(v_rec.point); cost:= v_rec.cost; river_name:= v_rec.name; return next; end loop; return; end if; --最短路径 for v_rec in (select st_linesubstring(st_linemerge(v_startLine),v_perStart,1) as point,COALESCE(first_name,'无名河流') as name,first_cost as cost union all SELECT st_linemerge(b.geom) as point,COALESCE(b.name,'无名河流') as name,st_length(geom, false) as cost FROM pgr_dijkstra( 'SELECT gid as id, source, target, st_length(geom, false) as cost FROM singleriver where st_intersects(geom,st_buffer(st_linefromtext(''linestring('||startx||' ' || starty ||','|| endx ||' ' || endy ||')''),0.05))', v_startTarget, v_endSource , false ) a, singleriver b WHERE a.edge = b.gid union all select st_linesubstring(st_linemerge(v_endLine),0,v_perEnd) as point,COALESCE(end_name,'无名河流') as name,end_cost as cost) loop v_shPath:= ST_AsGeoJSON(v_rec.point); cost:= v_rec.cost; river_name:= v_rec.name; return next; end loop; end; $BODY$ LANGUAGE plpgsql VOLATILE STRICT COST 100 ROWS 1000
函数调用方式
select pgr_shortest_river(114.34339155124664,27.85120700316823,114.44430856192854,27.839804751500512)
2.参数说明
输入参数:开始点和结束点的经纬度坐标
输出结果:river_name:河流名称;v_shppath:流经的河流路径; cost:河流流经长度
3.内部调用函数说明
函数调用过程,根据postgis不同版本,函数名称可能会有偏差,有版本展示形式为 st_linesubstring ,有版本展示形式为 st_line_substring
4.输出结果验证
为了验证河流输出结果是否正确,流经河流路径是否连通,可以通过在线geojson地图(geojson.io)呈现出来验证。
在右侧json-features-geometry 中填充函数输出的v_shppath参数内容(按照行单独输入,可以输入多个,注意需要增加json属性)
右侧json数据:https://files.cnblogs.com/files/HoEn/%E6%B2%B3%E6%B5%81%E6%95%B0%E6%8D%AE%E6%B5%8B%E8%AF%95.json