Esempio n. 1
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    def build_geo_cross(self):
        from ambry.geo.util import find_geo_containment, find_containment

        

        def gen_bound():
            
            boundaries = self.partitions.find(table='places')

            # Note, ogc_fid is the primary key. The id column is created by the shapefile. 
            for i,boundary in enumerate(boundaries.query("SELECT  id, AsText(geometry) AS wkt FROM places")):
                lr('Load rtree')
     
                yield i, boundary['wkt'] , boundary['id'] 
        
        def gen_points(geography):

            # HACK! This isn't quite right. We should be using the census-created interior point, 
            # which is guaranteed to be inside the shape. Centroids can be outside the shape, although that rarely
            # happens for blockgroups. 
            
            q = """
            SELECT *,
            AsText(Transform(geometry, 4326)) AS geometry,
            X(Transform(Centroid(geometry), 4326)) AS lon, 
            Y(Transform(Centroid(geometry), 4326)) as lat,
            Area(geometry) as area
            FROM  {}""".format(geography)

            for row in self.library.dep(geography).partition.query(q):
                if  row['lon'] and row['lat']:
                    yield (row['lon'], row['lat']), row['gvid']


        lr = self.init_log_rate(200)

        p = self.partitions.find_or_new(table='places_blockgroups')
        p.clean()

        
        with p.inserter() as ins:
            for point, point_o, cntr_geo, cntr_o in find_containment(gen_bound(),gen_points('blockgroups')):

                ins.insert(dict(places_id = cntr_o, gvid = point_o))
            
                lr('Assigning to blockgroups')
        
        
        p = self.partitions.find_or_new(table='places_tracts')
        p.clean()

        
        with p.inserter() as ins:
            for point, point_o, cntr_geo, cntr_o in find_containment(gen_bound(),gen_points('tracts')):

                ins.insert(dict(places_id = cntr_o, gvid = point_o))
            
                lr('Assigning to tracts')
Esempio n. 2
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    def containment(self):
        
        
        from ambry.geo.util import  find_containment

        lr = self.init_log_rate(3000)

        def gen_bound():
        
            places = self.library.dep('places').partition

            lr = self.init_log_rate(3000)

            # Note, ogc_fid is the primary key. The id column is created by the shapefile. 
            for i,boundary in enumerate(places.query(
                "SELECT  AsText(geometry) AS wkt, code, scode, name FROM places WHERE type = 'community' ")):
                
                lr('Load rtree')
 
                yield i, boundary['wkt'] , ( boundary['scode'], boundary['code'] ,  boundary['name']  )
    
        def gen_points():

            parcels = self.library.dep('parcels').partition
        
            lr = self.init_log_rate(3000)
        
            for i,parcel in enumerate(parcels.query(
                """SELECT  X(Transform(Centroid(geometry), 4326)) AS lon, 
                Y(Transform(Centroid(geometry), 4326)) AS lat, apn FROM parcels 
                WHERE situs_juri = 'SD' """)):
                
                lr('Generate points')
 
                yield (parcel['lon'], parcel['lat']), (parcel['apn'], parcel['lat'], parcel['lon'])
                
        import csv
        lr = self.init_log_rate(300)
        with open('parcel_communities.csv', 'w') as f:
            w = csv.writer(f)
            w.writerow(['apn', 'lat','lon', 'source_code', 'community_code','community_name'])
            
            for point, point_o, cntr_geo, cntr_o in find_containment(gen_bound(),gen_points()):
                lr('Write row')
                
                w.writerow([point_o[0], point_o[1], point_o[2] ,cntr_o[0], cntr_o[1], cntr_o[2]])
Esempio n. 3
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    def build_block_cross(self):
        """Build the facilities_blockgroups crosswalk file to assign facilities to blockgroups. """
        from ambry.geo.util import find_geo_containment, find_containment
        from geoid import civick

        lr = self.init_log_rate(3000)

        def gen_bound():

            boundaries = self.library.dep('blockgroups').partition

            # Note, ogc_fid is the primary key. The id column is created by the shapefile.
            for i, boundary in enumerate(
                    boundaries.query(
                        "SELECT  AsText(geometry) AS wkt, gvid FROM blockgroups"
                    )):
                lr('Load rtree')

                yield i, boundary['wkt'], boundary['gvid']

        def gen_points():

            for row in self.partitions.find(table='facilities_addresses').rows:
                if row['longitude'] and row['latitude']:
                    yield (row['longitude'],
                           row['latitude']), row['facilities_id']

        p = self.partitions.find_or_new(table='facilities_geoids')
        p.clean()

        with p.inserter() as ins:
            for point, point_o, cntr_geo, cntr_o in find_containment(
                    gen_bound(), gen_points()):

                blockgroup_gvid = civick.Blockgroup.parse(cntr_o)
                tract_gvid = blockgroup_gvid.convert(civick.Tract)
                county_gvid = blockgroup_gvid.convert(civick.County)

                ins.insert(
                    dict(facilities_id=point_o,
                         blockgroup_gvid=str(blockgroup_gvid),
                         tract_gvid=str(tract_gvid),
                         county_gvid=str(county_gvid)))

                lr('Marking point containment')
Esempio n. 4
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    def build_agencies(self):
        """Build the facilities_blockgroups crosswalk file to assign facilities to blockgroups. """
        from ambry.geo.util import find_geo_containment, find_containment

        lr = self.init_log_rate(3000)

        def gen_bound():
            
            boundaries = self.library.dep('blockgroups').partition

            # Note, ogc_fid is the primary key. The id column is created by the shapefile. 
            for i,boundary in enumerate(boundaries.query(
                "SELECT  AsText(geometry) AS wkt, gvid FROM blockgroups")):
                lr('Load rtree')
     
                yield i, boundary['wkt'] , boundary['gvid'] 
        
        def gen_points():

            for o in self.generate_agencies():
                if o['geocoded']:
                    yield (o['geocoded']['longitude'], o['geocoded']['latitude']), o
          
        p = self.partitions.find_or_new(table='locations')
        p.clean()

        with p.inserter() as ins:
        
            for point, point_o, cntr_geo, cntr_o in find_containment(gen_bound(),gen_points()):
           
                row = point_o['row']
                
                row['gvid'] = cntr_o
           
                ins.insert(row)
        
                lr('Marking point containment')