Exemplo n.º 1
0
def process_shp(session, spno, shp):
	for feature in shp:
		try:
			props = feature['properties']
			# Convert property names to uppercase
			props = { key.upper(): props[key] for key in props }

			if spno != props['SPNO']:
				log.error('SPNO does not match %s != %s' % (spno, props['SPNO']))
				return

			if props['RNGE'] in (8,9): # TODO - investigate what these numbers mean
				return

			taxon_id = props['TAXONID']

			parts = _taxon_re.match(taxon_id)

			if parts is None:
				log.error("Invalid taxon id format: %s" % taxon_id)
				return

			prefix = parts.group(1)
			suffix = parts.group(2) or ''

			geometry = shape(feature['geometry'])
			if type(geometry) == Polygon:
				geometry = MultiPolygon([geometry])

			geometry = reproject(geometry, pyproj.Proj(shp.crs), pyproj.Proj('+init=EPSG:4326'))

			for s in suffix.split("."):
				taxon_exists = len(session.execute("SELECT 1 FROM taxon WHERE id = :id", { 'id': prefix + s }).fetchall()) > 0
				if taxon_exists:
					session.execute("""INSERT INTO taxon_range (taxon_id, range_id, breeding_range_id, geometry) VALUES
						(:taxon_id, :range_id, :breeding_range_id, ST_GeomFromWKB(_BINARY :geom_wkb))""", {
							'taxon_id': prefix + s,
							'range_id': props['RNGE'] or None,
							'breeding_range_id': props['BRRNGE'] or None,
							'geom_wkb': shapely.wkb.dumps(geometry)
						}
					)

					if insert_subdivided:
						for geom in subdivide_geometry(geometry.buffer(0)):
							geom = to_multipolygon(geom)
							if not geom.is_empty:
								session.execute("""INSERT INTO taxon_range_subdiv (taxon_id, range_id, breeding_range_id, geometry) VALUES
									(:taxon_id, :range_id, :breeding_range_id, ST_GeomFromWKB(_BINARY :geom_wkb))""", {
										'taxon_id': prefix + s,
										'range_id': props['RNGE'] or None,
										'breeding_range_id': props['BRRNGE'] or None,
										'geom_wkb': shapely.wkb.dumps(to_multipolygon(geom))
									}
								)

		except:
			log.error("Error processing row: %s" % props)
			raise
Exemplo n.º 2
0
def main():
    logging.basicConfig(
        stream=sys.stdout,
        level=logging.INFO,
        format='%(asctime)-15s %(name)s %(levelname)-8s %(message)s')

    parser = argparse.ArgumentParser(
        description='Import regions from shapefile')
    parser.add_argument('filename',
                        type=str,
                        help='Shapefile containing regions')
    args = parser.parse_args()

    session = get_session()

    session.execute("DELETE FROM t1_survey_region")

    with fiona.open(args.filename, encoding='Windows-1252') as shp:
        for index, feature in enumerate(tqdm(shp)):
            props = feature['properties']

            geometry = shape(
                transform_geom(shp.crs, 'EPSG:4326', feature['geometry']))
            geometry = geometry.buffer(0)

            session.execute(
                """INSERT INTO region (id, name, geometry, state, positional_accuracy_in_m)
					VALUES (:id, :name, ST_GeomFromWKB(_BINARY :geometry_wkb), :state, :positional_accuracy_in_m)""",
                {
                    'id': index,
                    'name': props['RegName'],
                    'geometry_wkb': shapely.wkb.dumps(
                        to_multipolygon(geometry)),
                    'state': props['StateName'],
                    'positional_accuracy_in_m': int(props['Accuracy'])
                })

            for geometry in subdivide_geometry(geometry):

                session.execute(
                    """INSERT INTO region_subdiv (id, name, geometry)
					VALUES (:id, :name, ST_GeomFromWKB(_BINARY :geometry_wkb))""", {
                        'id':
                        index,
                        'name':
                        props['RegName'],
                        'geometry_wkb':
                        shapely.wkb.dumps(to_multipolygon(geometry))
                    })

    log.info("Updating t1_survey_region (this may take a while)")
    session.execute("CALL update_t1_survey_region(NULL)")

    session.commit()
Exemplo n.º 3
0
def get_core_range_geometry(session, taxon_id):
    rows = session.execute(
        """SELECT HEX(ST_AsBinary(geometry)) FROM taxon_range WHERE taxon_id = :taxon_id AND range_id = 1""",
        {
            'taxon_id': taxon_id
        }).fetchall()
    geom = GeometryCollection(
        [shapely.wkb.loads(binascii.unhexlify(row[0])) for row in rows])
    return to_multipolygon(geom)
Exemplo n.º 4
0
def main():
	logging.basicConfig(stream=sys.stdout, level=logging.INFO, format='%(asctime)-15s %(name)s %(levelname)-8s %(message)s')

	parser = argparse.ArgumentParser(description='Import Type 2 sites from shapefile')
	parser.add_argument('filename', type=str, help='Shapefile containing type 2 site polygons')
	args = parser.parse_args()

	session = get_session()

	with open_shapefile(args.filename, dest_crs='EPSG:4326') as (shp, reproject):
		for feature in tqdm(shp):
			props = feature['properties']
			geometry = to_multipolygon(reproject(shape(feature['geometry'])))

			session.execute("""INSERT INTO t2_site (search_type_id, geometry)
				VALUES (:search_type_id, ST_GeomFromWKB(_BINARY :geometry_wkb))""", {
					'search_type_id': props['SiteType'],
					'geometry_wkb': shapely.wkb.dumps(geometry)
				})

	session.commit()
Exemplo n.º 5
0
    def process_spno(spno):
        session = get_session()
        try:
            # Get raw points from DB
            raw_points = get_species_points(session, spno)

            if len(raw_points) < 4:
                # Not enough points to create an alpha hull
                return

            # Read points from database
            points = [reproject(p, db_proj, working_proj) for p in raw_points]

            # Generate alpha shape
            alpha_shp = make_alpha_hull(
                points = points,
                coastal_shape = coastal_shape,
                thinning_distance = tsx.config.config.getfloat('processing.alpha_hull', 'thinning_distance'),
                alpha = tsx.config.config.getfloat('processing.alpha_hull', 'alpha'),
                hullbuffer_distance = tsx.config.config.getfloat('processing.alpha_hull', 'hullbuffer_distance'),
                isolatedbuffer_distance = tsx.config.config.getfloat('processing.alpha_hull', 'isolatedbuffer_distance'))

            # Convert back to DB projection
            alpha_shp = reproject(alpha_shp, working_proj, db_proj)

            # Clean up geometry
            alpha_shp = alpha_shp.buffer(0)

            # Get range polygons to intersect with alpha shape
            for taxon_id, range_id, breeding_range_id, geom_wkb in get_species_range_polygons(session, spno):
                # Intersect and insert into DB
                geom = shapely.wkb.loads(binascii.unhexlify(geom_wkb)).buffer(0)
                geom = to_multipolygon(geom.intersection(alpha_shp)) # slow
                if len(geom) > 0:
                    session.execute("""INSERT INTO taxon_presence_alpha_hull (taxon_id, range_id, breeding_range_id, geometry)
                        VALUES (:taxon_id, :range_id, :breeding_range_id, ST_GeomFromWKB(_BINARY :geom_wkb))""", {
                            'taxon_id': taxon_id,
                            'range_id': range_id,
                            'breeding_range_id': breeding_range_id,
                            'geom_wkb': shapely.wkb.dumps(geom)
                        }
                    )
                # We also subdivide the geometries into small pieces and insert this into the database. This allows for much faster
                # spatial queries in the database.
                for subgeom in subdivide_geometry(geom, max_points = 100):
                    session.execute("""INSERT INTO taxon_presence_alpha_hull_subdiv (taxon_id, range_id, breeding_range_id, geometry)
                        VALUES (:taxon_id, :range_id, :breeding_range_id, ST_GeomFromWKB(_BINARY :geom_wkb))""", {
                            'taxon_id': taxon_id,
                            'range_id': range_id,
                            'breeding_range_id': breeding_range_id,
                            'geom_wkb': shapely.wkb.dumps(subgeom)
                        }
                    )
            if commit:
                session.commit()

        except:
            log.exception("Exception processing alpha hull")
            raise
        finally:
            session.close()
Exemplo n.º 6
0
def process(taxon_id, coastal_shape, data_type, commit):
    session = get_session()

    try:
        # Load core range geometry
        core_range_geom = reproject(
            get_core_range_geometry(session, taxon_id),
            to_working_transformer).buffer(0).intersection(coastal_shape)

        for source_id in get_source_ids(session, data_type, taxon_id):

            log.info("Processing taxon_id: %s, source_id: %s" %
                     (taxon_id, source_id))

            # Get raw points from DB
            raw_points = get_raw_points(session, data_type, taxon_id,
                                        source_id)

            empty = len(raw_points) < 4

            if empty:
                log.info(
                    "Taxon %s: not enough points to create alpha hull (%s)" %
                    (taxon_id, len(raw_points)))

            if not empty:
                # Read points from database
                points = [
                    reproject(p, to_working_transformer) for p in raw_points
                ]

                # Generate alpha shape
                alpha_shp = make_alpha_hull(
                    points=points,
                    coastal_shape=None,
                    thinning_distance=tsx.config.config.getfloat(
                        'processing.alpha_hull', 'thinning_distance'),
                    alpha=tsx.config.config.getfloat('processing.alpha_hull',
                                                     'alpha'),
                    hullbuffer_distance=tsx.config.config.getfloat(
                        'processing.alpha_hull', 'hullbuffer_distance'),
                    isolatedbuffer_distance=tsx.config.config.getfloat(
                        'processing.alpha_hull', 'isolatedbuffer_distance'))

                # Clean up geometry
                alpha_shp = alpha_shp.buffer(0)

                if core_range_geom.area == 0:
                    log.info("Core range geometry area is zero")
                    empty = True

                else:
                    # Intersect alpha hull with core range
                    intersected_alpha = to_multipolygon(
                        core_range_geom.intersection(alpha_shp))

                    empty = intersected_alpha.is_empty

            if empty:
                session.execute(
                    """INSERT INTO taxon_source_alpha_hull (source_id, taxon_id, data_type, core_range_area_in_m2, alpha_hull_area_in_m2)
                    VALUES (:source_id, :taxon_id, :data_type, 0, 0)""", {
                        'source_id': source_id,
                        'taxon_id': taxon_id,
                        'data_type': data_type
                    })
            else:
                session.execute(
                    """INSERT INTO taxon_source_alpha_hull (source_id, taxon_id, data_type, geometry, core_range_area_in_m2, alpha_hull_area_in_m2)
                    VALUES (:source_id, :taxon_id, :data_type, ST_GeomFromWKB(_BINARY :geom_wkb), :core_range_area, :alpha_hull_area)""",
                    {
                        'source_id':
                        source_id,
                        'taxon_id':
                        taxon_id,
                        'data_type':
                        data_type,
                        'geom_wkb':
                        shapely.wkb.dumps(
                            reproject(intersected_alpha, to_db_transformer)),
                        'core_range_area':
                        core_range_geom.area,
                        'alpha_hull_area':
                        intersected_alpha.area
                    })

            if commit:
                session.commit()

    except:
        log.exception("Exception processing alpha hull")
        raise
    finally:
        session.close()
Exemplo n.º 7
0
def export(layers, species=None):
    session = get_session()

    export_alpha = 'alpha' in layers
    export_ultrataxa = 'ultrataxa' in layers
    export_pseudo_absence = 'pa' in layers
    export_grid = 'grid' in layers

    export_dir = tsx.config.data_dir('export')

    if species == None:
        species = get_all_spno(session)

    for spno in tqdm(species):
        if export_alpha:
            filename = os.path.join(export_dir, '%s-alpha.shp' % spno)

            alpha_hulls = session.execute(
                """SELECT taxon_id, range_id, breeding_range_id, HEX(ST_AsWKB(geometry))
                    FROM taxon_presence_alpha_hull, taxon
                    WHERE taxon_id = taxon.id
                    AND spno = :spno""", {
                    'spno': spno
                }).fetchall()

            if len(alpha_hulls) > 0:

                with fiona.open(filename,
                                'w',
                                driver='ESRI Shapefile',
                                crs={
                                    'no_defs': True,
                                    'ellps': 'WGS84',
                                    'datum': 'WGS84',
                                    'proj': 'longlat'
                                },
                                schema={
                                    'geometry': 'MultiPolygon',
                                    'properties': {
                                        'TAXONID': 'str',
                                        'RNGE': 'int',
                                        'BRRNGE': 'int'
                                    }
                                }) as output:

                    for taxon_id, range_id, breeding_range_id, geom_wkb in alpha_hulls:
                        geom = to_multipolygon(
                            shapely.wkb.loads(binascii.unhexlify(geom_wkb)))

                        if len(geom) == 0:
                            continue

                        output.write({
                            'geometry': shapely.geometry.mapping(geom),
                            'properties': {
                                'TAXONID': taxon_id,
                                'RNGE': range_id,
                                'BRRNGE': breeding_range_id
                            }
                        })

        if export_ultrataxa:
            filename = os.path.join(export_dir, '%s-ultrataxa.shp' % spno)

            items = session.execute(
                """SELECT ST_X(coords) AS x, ST_Y(coords) AS y, taxon.id, range_id, generated_subspecies, t2_survey_site.site_id, t2_survey.search_type_id
                FROM t2_ultrataxon_sighting, t2_sighting, taxon, t2_survey
                LEFT JOIN t2_survey_site ON t2_survey_site.survey_id = t2_survey.id
                WHERE t2_ultrataxon_sighting.sighting_id = t2_sighting.id
                AND t2_sighting.survey_id = t2_survey.id
                AND t2_ultrataxon_sighting.taxon_id = taxon.id
                AND taxon.spno = :spno
                """, {
                    'spno': spno
                }).fetchall()

            with fiona.open(filename,
                            'w',
                            driver='ESRI Shapefile',
                            crs={
                                'no_defs': True,
                                'ellps': 'WGS84',
                                'datum': 'WGS84',
                                'proj': 'longlat'
                            },
                            schema={
                                'geometry': 'Point',
                                'properties': {
                                    'TaxonID': 'str',
                                    'Rnge': 'int',
                                    'Generated': 'int',
                                    'SearchType': 'int',
                                    'SiteID': 'int'
                                }
                            }) as output:

                for x, y, taxon_id, range_id, generated_subspecies, site_id, search_type_id in items:
                    geom = Point(x, y)

                    output.write({
                        'geometry': shapely.geometry.mapping(geom),
                        'properties': {
                            'TaxonID': taxon_id,
                            'Rnge': range_id,
                            'Generated': generated_subspecies,
                            'SearchType': search_type_id,
                            'SiteID': site_id
                        }
                    })

        if export_pseudo_absence:
            filename = os.path.join(export_dir, '%s-pa.shp' % spno)

            items = session.execute(
                """SELECT ST_X(coords) AS x, ST_Y(coords) AS y, taxon.id
                FROM t2_processed_sighting, t2_processed_survey, t2_survey, taxon
                WHERE t2_processed_sighting.survey_id = t2_processed_survey.id
                AND t2_processed_survey.raw_survey_id = t2_survey.id
                AND t2_processed_sighting.taxon_id = taxon.id
                AND taxon.spno = :spno
                AND pseudo_absence
                AND experimental_design_type_id = 1
                """, {
                    'spno': spno
                }).fetchall()

            with fiona.open(filename,
                            'w',
                            driver='ESRI Shapefile',
                            crs={
                                'no_defs': True,
                                'ellps': 'WGS84',
                                'datum': 'WGS84',
                                'proj': 'longlat'
                            },
                            schema={
                                'geometry': 'Point',
                                'properties': {
                                    'TaxonID': 'str'
                                }
                            }) as output:

                for x, y, taxon_id in items:
                    geom = Point(x, y)

                    output.write({
                        'geometry': shapely.geometry.mapping(geom),
                        'properties': {
                            'TaxonID': taxon_id
                        }
                    })

        if export_grid:
            filename = os.path.join(export_dir, '%s-grid.shp' % spno)

            items = session.execute(
                """SELECT ST_X(coords) AS x, ST_Y(coords) AS y, grid_cell_id, taxon.id, pseudo_absence
                FROM t2_processed_sighting, t2_processed_survey, t2_survey, taxon
                WHERE t2_processed_sighting.survey_id = t2_processed_survey.id
                AND t2_processed_survey.raw_survey_id = t2_survey.id
                AND t2_processed_sighting.taxon_id = taxon.id
                AND taxon.spno = :spno
                AND experimental_design_type_id = 2
                """, {
                    'spno': spno
                }).fetchall()

            with fiona.open(filename,
                            'w',
                            driver='ESRI Shapefile',
                            crs={
                                'no_defs': True,
                                'ellps': 'WGS84',
                                'datum': 'WGS84',
                                'proj': 'longlat'
                            },
                            schema={
                                'geometry': 'Point',
                                'properties': {
                                    'TaxonID': 'str',
                                    'GridID': 'int',
                                    'Pseudo': 'int'
                                }
                            }) as output:

                for x, y, grid_cell_id, taxon_id, pseudo_absence in items:
                    geom = Point(x, y)

                    output.write({
                        'geometry': shapely.geometry.mapping(geom),
                        'properties': {
                            'TaxonID': taxon_id,
                            'GridID': grid_cell_id,
                            'Pseudo': pseudo_absence
                        }
                    })