-------------------------------------------------------------- -- Practical SQL: A Beginner's Guide to Storytelling with Data -- by Anthony DeBarros -- Chapter 14 Code Examples -------------------------------------------------------------- -- Listing 14-1: Creating a gis_analysis database CREATE DATABASE gis_analysis; -- Note: Switch to this new database before continuing the examples -- Listing 14-2: Loading the PostGIS extension CREATE EXTENSION postgis; SELECT postgis_full_version(); -- shows PostGIS version -- Listing 14-3: Retrieving the well-known text for SRID 4326 SELECT srtext FROM spatial_ref_sys WHERE srid = 4326; -- Listing 14-4: Using ST_GeomFromText() to create spatial objects SELECT ST_GeomFromText('POINT(-74.9233606 42.699992)', 4326); SELECT ST_GeomFromText('LINESTRING(-74.9 42.7, -75.1 42.7)', 4326); SELECT ST_GeomFromText('POLYGON((-74.9 42.7, -75.1 42.7, -75.1 42.6, -74.9 42.7))', 4326); SELECT ST_GeomFromText('MULTIPOINT (-74.9 42.7, -75.1 42.7)', 4326); SELECT ST_GeomFromText('MULTILINESTRING((-76.27 43.1, -76.06 43.08), (-76.2 43.3, -76.2 43.4, -76.4 43.1))', 4326); SELECT ST_GeomFromText('MULTIPOLYGON(( (-74.92 42.7, -75.06 42.71, -75.07 42.64, -74.92 42.7), (-75.0 42.66, -75.0 42.64, -74.98 42.64, -74.98 42.66, -75.0 42.66)))', 4326); -- Listing 14-5: Using ST_GeogFromText() to create spatial objects SELECT ST_GeogFromText('SRID=4326;MULTIPOINT(-74.9 42.7, -75.1 42.7, -74.924 42.6)'); -- Listing 14-6: Functions specific to making points SELECT ST_PointFromText('POINT(-74.9233606 42.699992)', 4326); SELECT ST_MakePoint(-74.9233606, 42.699992); SELECT ST_SetSRID(ST_MakePoint(-74.9233606, 42.699992), 4326); -- Listing 14-7: Functions specific to making LineStrings SELECT ST_LineFromText('LINESTRING(-105.90 35.67,-105.91 35.67)', 4326); SELECT ST_MakeLine(ST_MakePoint(-74.92, 42.69), ST_MakePoint(-74.12, 42.45)); -- Listing 14-8: Functions specific to making Polygons SELECT ST_PolygonFromText('POLYGON((-74.9 42.7, -75.1 42.7, -75.1 42.6, -74.9 42.7))', 4326); SELECT ST_MakePolygon( ST_GeomFromText('LINESTRING(-74.92 42.7, -75.06 42.71, -75.07 42.64, -74.92 42.7)', 4326)); SELECT ST_MPolyFromText('MULTIPOLYGON(( (-74.92 42.7, -75.06 42.71, -75.07 42.64, -74.92 42.7), (-75.0 42.66, -75.0 42.64, -74.98 42.64, -74.98 42.66, -75.0 42.66) ))', 4326); -- ANALYZING FARMERS MARKETS DATA -- https://catalog.data.gov/dataset/farmers-markets-geographic-data -- https://www.ams.usda.gov/local-food-directories/farmersmarkets -- Listing 14-9: Create and load the farmers_markets table CREATE TABLE farmers_markets ( fmid bigint PRIMARY KEY, market_name varchar(100) NOT NULL, street varchar(180), city varchar(60), county varchar(25), st varchar(20) NOT NULL, zip varchar(10), longitude numeric(10,7), latitude numeric(10,7), organic varchar(1) NOT NULL ); COPY farmers_markets FROM 'C:\YourDirectory\farmers_markets.csv' WITH (FORMAT CSV, HEADER); SELECT count(*) FROM farmers_markets; -- should return 8,681 rows -- Listing 14-10: Creating and indexing a geography column -- There's also a function: https://postgis.net/docs/AddGeometryColumn.html -- Add column ALTER TABLE farmers_markets ADD COLUMN geog_point geography(POINT,4326); -- Now fill that column with the lat/long UPDATE farmers_markets SET geog_point = ST_SetSRID( ST_MakePoint(longitude,latitude),4326 )::geography; -- Add a GiST index CREATE INDEX market_pts_idx ON farmers_markets USING GIST (geog_point); -- View the geography column SELECT longitude, latitude, geog_point, ST_AsText(geog_point) FROM farmers_markets WHERE longitude IS NOT NULL LIMIT 5; -- Listing 14-11: Using ST_DWithin() to locate farmers' markets within 10 kilometers of a point SELECT market_name, city, st FROM farmers_markets WHERE ST_DWithin(geog_point, ST_GeogFromText('POINT(-93.6204386 41.5853202)'), 10000) ORDER BY market_name; -- Listing 14-12: Using ST_Distance() to calculate the miles between Yankee Stadium -- and Citi Field (Mets) -- 1609.344 meters/mile SELECT ST_Distance( ST_GeogFromText('POINT(-73.9283685 40.8296466)'), ST_GeogFromText('POINT(-73.8480153 40.7570917)') ) / 1609.344 AS mets_to_yanks; -- Listing 14-13: Using ST_Distance() for each row in farmers_markets SELECT market_name, city, round( (ST_Distance(geog_point, ST_GeogFromText('POINT(-93.6204386 41.5853202)') ) / 1609.344)::numeric(8,5), 2 ) AS miles_from_dt FROM farmers_markets WHERE ST_DWithin(geog_point, ST_GeogFromText('POINT(-93.6204386 41.5853202)'), 10000) ORDER BY miles_from_dt ASC; -- WORKING WITH SHAPEFILES -- Resources: -- TIGER/LineĀ® Shapefiles and TIGER/LineĀ® Files -- https://www.census.gov/geo/maps-data/data/tiger-line.html -- Cartographic Boundary Shapefiles - Counties -- https://www.census.gov/geo/maps-data/data/cbf/cbf_counties.html -- Listing 14-14: Checking the geom column's well-known text representation SELECT ST_AsText(geom) FROM us_counties_2010_shp LIMIT 1; -- Listing 14-15: Find the largest counties by area using ST_Area() SELECT name10, statefp10 AS st, round( ( ST_Area(geom::geography) / 2589988.110336 )::numeric, 2 ) AS square_miles FROM us_counties_2010_shp ORDER BY square_miles DESC LIMIT 5; -- Listing 14-16: Using ST_Within() to find the county belonging to a pair of coordinates SELECT name10, statefp10 FROM us_counties_2010_shp WHERE ST_Within('SRID=4269;POINT(-118.3419063 34.0977076)'::geometry, geom); -- SPATIAL JOINS -- SANTA FE WATER AND ROAD DATA -- http://www.santafenm.gov/santa_fe_river -- Census 2016 Tiger/Line roads, water -- https://www.census.gov/geo/maps-data/data/tiger-line.html -- https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2016&layergroup=Roads -- https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2016&layergroup=Water -- RTTYP - Route Type Code Description -- https://www.census.gov/geo/reference/rttyp.html -- C County -- I Interstate -- M Common Name -- O Other -- S State recognized -- U U.S. -- MTFCC MAF/TIGER feature class code -- https://www.census.gov/geo/reference/mtfcc.html -- Here, H3010: A natural flowing waterway -- Listing 14-17: Using ST_GeometryType() to determine geometry SELECT ST_GeometryType(geom) FROM santafe_linearwater_2016 LIMIT 1; SELECT ST_GeometryType(geom) FROM santafe_roads_2016 LIMIT 1; -- Listing 14-18: Spatial join with ST_Intersects() to find roads crossing the Santa Fe river SELECT water.fullname AS waterway, roads.rttyp, roads.fullname AS road FROM santafe_linearwater_2016 water JOIN santafe_roads_2016 roads ON ST_Intersects(water.geom, roads.geom) WHERE water.fullname = 'Santa Fe Riv' ORDER BY roads.fullname; -- Listing 14-19: Using ST_Intersection() to show where roads cross the river SELECT water.fullname AS waterway, roads.rttyp, roads.fullname AS road, ST_AsText(ST_Intersection(water.geom, roads.geom)) FROM santafe_linearwater_2016 water JOIN santafe_roads_2016 roads ON ST_Intersects(water.geom, roads.geom) WHERE water.fullname = 'Santa Fe Riv' ORDER BY roads.fullname LIMIT 5;