コード例 #1
0
    'feature_geomorpho':{'object': feature_geomorpho_var}, \
    'feature_dem':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['dem'].clip_by_shape(z))    ),'parameters':['feature_geomorpho','feature_geometry']},\
    'feature_slope':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['slope'].clip_by_shape(z))    ),'parameters':['feature_geomorpho','feature_geometry']},\
    'feature_orientation':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['orientation'].clip_by_shape(z))    ),'parameters':['feature_geomorpho','feature_geometry']},\
    'feature_twi':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['twi'].clip_by_shape(z))    ),'parameters':['feature_geomorpho','feature_geometry']},\
    'feature_soils':{'object': feature_soils}, \
    'feature_aglim1':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['aglim1'].clip_by_shape(z))    ),'parameters':['feature_soils','feature_geometry']},\
    'feature_aglim2':{'function':(lambda y,  z:  Imagee(*y.get_raster_map()['aglim2'].clip_by_shape(z))    ),'parameters':['feature_soils','feature_geometry']},\
    'result_feature':{'function':(lambda r, s, t, u, v,  w,  x,  y,  z:  FeatureWithRasterMap(data=r, geom=s,id=t,raster_map={'dem':u,'slope':v,'orientation':w,'twi':x,'aglim1':y,'aglim2':z})   ),'parameters':['feature_data','feature_geometry','feature_id','feature_dem', 'feature_slope', 'feature_orientation', 'feature_twi', 'feature_aglim1', 'feature_aglim2']},\
    }
    return t_dict


# %%
plt.imshow(apply_function(
    compilable_transformation_dictionary(feature, feature_geomorpho,
                                         feature_eu_soils),
    'result_feature').get_raster_map()['dem'].get_data(),
           origin="upper",
           cmap='gray',
           interpolation='nearest')
plt.colorbar()
plt.show()

# %%
plt.imshow(apply_function(
    compilable_transformation_dictionary(feature, feature_geomorpho,
                                         feature_eu_soils),
    'result_feature').get_raster_map()['twi'].get_data(),
           origin="upper",
           cmap='gray',
           interpolation='nearest')
コード例 #2
0
               ogr.CreateGeometryFromWkb(geom).ExportToWkt()))
        parts = corine_layer.GetFeatureCount()
        number = 100
        i = 1
        count = 0
        j = math.ceil(parts / number)
        while i < j:
            for k in range(number):
                olu_id = next(olu_id_gen)
                atts_id = next(olu_atts_id_gen)
                f = corine_layer.GetNextFeature()
                #[print(i) for i in apply_function(corine_transformations(f,olu_id,atts_id,nuts_id,olu_object_table,olu_attribute_set_table,olu_atts_to_object_table,olu_object_to_admin_unit_table),'four_insert_statements')]
                [
                    olu_cur.execute(i) for i in apply_function(
                        corine_transformations(
                            f, olu_id, atts_id, nuts_id, olu_object_table,
                            olu_attribute_set_table, olu_atts_to_object_table,
                            olu_object_to_admin_unit_table),
                        'four_insert_statements')
                ]
                count += 1
            olu_conn.commit()
            i += 1

        for k in range(parts - count):
            olu_id = next(olu_id_gen)
            atts_id = next(olu_atts_id_gen)
            f = corine_layer.GetNextFeature()
            [
                olu_cur.execute(i) for i in apply_function(
                    corine_transformations(
                        f, olu_id, atts_id, nuts_id, olu_object_table,
                      admunit_cz.get_attributes(),
                      data_source=DataSource(
                          admunit_cz.get_data_source().get_type(),
                          admunit_cz.get_data_source().get_name(), ({
                              **admunit_cz.get_data_source().get_attributes(),
                              **{
                                  'layer': l
                              }
                          }), None,
                          admunit_cz.get_data_source().get_data_file()),
                      supergeoconcept=admunit_cz,
                      table_inheritance=False,
                      type='semantic',
                      subgeoconcepts=[]))

G = apply_function(compilable_node_dictionary(admunit_cz), 'admunit__tree')

eudem_cz__metadata = MetaData('EU DEM in Czech Republic', {
    "local": "/home/jupyter-dima/eu_dem_czat3035.tif",
    "format": "GTiff"
}, 'raster data')
eudem_cz_ds = ds_from_metadata(eudem_cz__metadata)
eudem_cz = GeoConcept('EU DEM in Czech Republic',
                      'EU DEM in Czech Republic.',
                      'Feature',
                      json_feature_with_raster_structure,
                      data_source=eudem_cz_ds,
                      subgeoconcepts=[])
eudem_cz.set_raster_output_backend(
    '',
    eudem_cz.get_data_source().get_attributes()['local'])
コード例 #4
0
    return t_dict

# %%
sentinel_im=FeatureWithRasterMap(data={},geom=('POLYGON ((%d %d, %d %d, %d %d, %d %d, %d %d))' % (geom_utm_envelope[0],geom_utm_envelope[2],geom_utm_envelope[0],geom_utm_envelope[3],geom_utm_envelope[1],geom_utm_envelope[3],geom_utm_envelope[1],geom_utm_envelope[2],geom_utm_envelope[0],geom_utm_envelope[2])),id=1,raster_map={'im_band2':im,'im_band4':im_b4,'im_band8':im_b8})

# %%
features=fields.read_features_from_geojson_output_backend('feature',number=10)

# %%
with open('testovaci.geojson', 'w', encoding='utf-8') as file:
    geojson={"type": "FeatureCollection", "features": [] }
    for f in features:
        for ff in f:
            if len(ff)>0:
                for fff in ff:
                    geojson["features"].append(apply_function(compilable_transformation_dictionary(fff,sentinel_im,utm32635_to_wgs84),'result_feature').export_to_geojson())
    json.dump(geojson, file, ensure_ascii=False, indent=4)

# %%
from ipyleaflet import Map, GeoJSON
m = Map(center=(ogr.CreateGeometryFromWkt(transform_wkt_geometry(sentinel_im.get_geometry(),utm32635_to_wgs84)).Centroid().GetY(),ogr.CreateGeometryFromWkt(transform_wkt_geometry(sentinel_im.get_geometry(),utm32635_to_wgs84)).Centroid().GetX()), zoom=14)

# %%
geo_json = GeoJSON(data=geojson, style = {'color': 'green'})
m.add_layer(geo_json)

# %%
m

# %%
for feature in geojson['features']:
コード例 #5
0
                     scheme='public',
                     conflict='append')

# %%
url_adresa = lpis_cz.get_data_source().get_attributes()['url']
for i in re.findall('\[.*?\]', url_adresa):
    if i in list(replacement_dictionary.keys()):
        url_adresa = url_adresa.replace(i, replacement_dictionary[i])
lpis_cz.get_data_source().set_attribute({'url': url_adresa})
del (url_adresa)

# %%
for i in re.findall('\{.*?\}',
                    lpis_cz.get_data_source().get_attributes()['url']):
    if i[1:-1] in list(compilable_tree_dictionary(admunit_cz).keys()):
        for j in apply_function(compilable_tree_dictionary(admunit_cz),
                                i[1:-1]):
            lpis_cz.append_subgeoconcept(
                SubGeoConcept(
                    str(j),
                    'LPIS in Czech administrative territorial unit %s ' %
                    str(j),
                    'Feature',
                    lpis_cz.get_attributes(),
                    data_source=DataSource(
                        lpis_cz.get_data_source().get_type(),
                        lpis_cz.get_data_source().get_name(), (dict(
                            lpis_cz.get_data_source().get_attributes(), **{
                                'url':
                                lpis_cz.get_data_source().get_attributes()
                                ['url'].replace(i, str(j))
                            })), None, None),
コード例 #6
0
 def transform(self, dictionary_key):
     concept = apply_function(self._dictionary, dictionary_key)
     return concept
コード例 #7
0
                     scheme='public',
                     conflict='append')

# %%
url_adresa = lpis_cz.get_data_source().get_attributes()['url']
for i in re.findall('\[.*?\]', url_adresa):
    if i in list(replacement_dictionary.keys()):
        url_adresa = url_adresa.replace(i, replacement_dictionary[i])
lpis_cz.get_data_source().set_attribute({'url': url_adresa})
del (url_adresa)

# %%
for i in re.findall('\{.*?\}',
                    lpis_cz.get_data_source().get_attributes()['url']):
    if i[1:-1] in list(compilable_tree_dictionary(admunit_cz).keys()):
        for j in apply_function(compilable_tree_dictionary(admunit_cz),
                                i[1:-1]):
            lpis_cz.append_subgeoconcept(
                SubGeoConcept(
                    str(j),
                    'LPIS in Czech administrative territorial unit %s ' %
                    str(j),
                    'Feature',
                    lpis_cz.get_attributes(),
                    data_source=DataSource(
                        lpis_cz.get_data_source().get_type(),
                        lpis_cz.get_data_source().get_name(), (dict(
                            lpis_cz.get_data_source().get_attributes(), **{
                                'url':
                                lpis_cz.get_data_source().get_attributes()
                                ['url'].replace(i, str(j))
                            })), None, None),
コード例 #8
0
def generate_olu_reference_geometries(kod_obce, theme, generate_inherited_tables=False):
    if generate_inherited_tables==True:
        dbs_olu.execute('create table if not exists olu_object.%s () inherits (olu2.olu_object)' % transform_name_to_postgresql_format(kod_obce))
        dbs_olu.execute('create table if not exists olu_attribute_set.%s () inherits (olu2.olu_attribute_set)' % transform_name_to_postgresql_format(kod_obce))
        dbs_olu.execute('create table if not exists atts_to_object.%s () inherits (olu2.atts_to_object)' % transform_name_to_postgresql_format(kod_obce))
        olu_object_table='olu_object.%s' % transform_name_to_postgresql_format(kod_obce)
        olu_attribute_set_table='olu_attribute_set.%s' % transform_name_to_postgresql_format(kod_obce)
        olu_atts_to_object_table='atts_to_object.%s' % transform_name_to_postgresql_format(kod_obce)
    olu_objects_union_cascaded=ogr.CreateGeometryFromWkt('MULTIPOLYGON EMPTY')
    ku=find_neighbors_level(G.reverse(),kod_obce,4)
    while True:
        try:
            cislo_ku=next(ku)
            print(cislo_ku)
            sub=lpis_cz.get_subgeoconcept_by_adm_node(cislo_ku)
            print(sub.get_name())
            lpis_feature_gen=sub.read_features_from_table(100)
            for feature_batch in lpis_feature_gen:
                if len(feature_batch)>0:
                    print(len(feature_batch))
                    for feature in feature_batch:
                        feature.transform_geometry(sjtsk5514_to_wgs84)
                        olu_id=next(olu_id_gen)
                        atts_id=next(olu_atts_id_gen)
                        [dbs_olu.execute(i) for i in apply_function(lpis_transformations(feature,olu_id,atts_id,kod_obce,olu_object_table,olu_attribute_set_table,olu_atts_to_object_table),'three_insert_statements')]
                else:
                    break
        except:
            print('no next feature')
            break

    obec_gen=admunit_cz.read_features_from_table_by_sqlcondition('id=%s' %kod_obce,1)
    obec=next(obec_gen)[0]
    obec_area=ogr.CreateGeometryFromWkb(obec.get_geometry()).Area()
 
    try:
        olu_objects_union=ogr.CreateGeometryFromWkb(dbs_olu.execute("select st_asbinary(st_union(geom)) from %s where admunit_id='%s'"  % ('olu2.olu_object',kod_obce))[0][0])
        olu_objects_union.Transform(wgs84_to_sjtsk5514)
        if abs(obec_area-olu_objects_union.Area())<100:
            return None
        olu_objects_union_cascaded=olu_objects_union#olu_objects_union.UnionCascaded()
        del(olu_objects_union)
        print(olu_objects_union_cascaded.Area())
        print(ogr.CreateGeometryFromWkb(obec.get_geometry()).Area())
    except:
        dbs_olu.disconnect()
        dbs_olu.connect()
    
    ruian_features_gen=ruian_parcely_cz.get_subgeoconcept_by_name(kod_obce).read_features_from_table_by_sqlcondition("st_intersects(geom,st_setsrid(st_geomfromtext('%s'),5514))" % (ogr.CreateGeometryFromWkb(obec.get_geometry()).Difference(olu_objects_union_cascaded).ExportToWkt()) ,1000)
             
    for feature_batch in ruian_features_gen:
        print(len(feature_batch))
        if len(feature_batch)>0:
            for feature in feature_batch:
                feature.transform_geometry(sjtsk5514_to_wgs84)
                olu_id=next(olu_id_gen)
                atts_id=next(olu_atts_id_gen)
                [dbs_olu.execute(i) for i in apply_function(ruian_transformations(feature,olu_id,atts_id,kod_obce,olu_object_table,olu_attribute_set_table,olu_atts_to_object_table),'three_insert_statements')]
        else:
            break
    
    try:
        olu_objects_union=ogr.CreateGeometryFromWkb(dbs_olu.execute("select st_asbinary(st_union(geom)) from %s where admunit_id='%s'"  % ('olu2.olu_object',kod_obce))[0][0])
        olu_objects_union.Transform(wgs84_to_sjtsk5514)
        if abs(obec_area-olu_objects_union.Area())<100:
            return None
        olu_objects_union_cascaded=olu_objects_union#olu_objects_union.UnionCascaded()
        del(olu_objects_union)
        print(olu_objects_union_cascaded.Area())
    except:
        dbs_olu.disconnect()
        dbs_olu.connect()
        
    if ogr.CreateGeometryFromWkb(obec.get_geometry()).Difference(olu_objects_union_cascaded) is None:
        return None
    
    ua_features_gen=ua_cz.read_features_from_table_by_sqlcondition("st_intersects(geom,st_transform(st_setsrid(st_geomfromtext('%s'),5514),3035)) and data->>'CODE2012' not in ('12210','12220','12230')" % (ogr.CreateGeometryFromWkb(obec.get_geometry()).Difference(olu_objects_union_cascaded).ExportToWkt()) ,100)     
    
    for feature_batch in ua_features_gen:
        print(len(feature_batch))
        if len(feature_batch)>0:
            for feature in feature_batch:
                feature.transform_geometry(etrs3035_to_wgs84)
                olu_id=next(olu_id_gen)
                atts_id=next(olu_atts_id_gen)
                [dbs_olu.execute(i) for i in apply_function(ua_transformations(feature,olu_id,atts_id,kod_obce,olu_object_table,olu_attribute_set_table,olu_atts_to_object_table),'three_insert_statements')]
        else:
            break

    try:
        olu_objects_union=ogr.CreateGeometryFromWkb(dbs_olu.execute("select st_asbinary(st_union(geom)) from %s where admunit_id='%s'"  % ('olu2.olu_object',kod_obce))[0][0])
        olu_objects_union.Transform(wgs84_to_sjtsk5514)
        if abs(obec_area-olu_objects_union.Area())<100:
            return None
        olu_objects_union_cascaded=olu_objects_union#olu_objects_union.UnionCascaded()
        del(olu_objects_union)
        print(olu_objects_union_cascaded.Area())
    except:
        dbs_olu.disconnect()
        dbs_olu.connect()
    
    
    if ogr.CreateGeometryFromWkb(obec.get_geometry()).Difference(olu_objects_union_cascaded) is None:
        return None

    corine_features_gen=corine_cz.get_subgeoconcept_by_name('2018').read_features_from_table_by_sqlcondition("st_intersects(geom,st_transform(st_setsrid(st_geomfromtext('%s'),5514),4326))" % (ogr.CreateGeometryFromWkb(obec.get_geometry()).Difference(olu_objects_union_cascaded).ExportToWkt()) ,10)     
    
    for feature_batch in corine_features_gen:
        print(len(feature_batch))
        if len(feature_batch)>0:
            for feature in feature_batch:
                feature.transform_geometry(wgs84_to_wgs84)
                olu_id=next(olu_id_gen)
                atts_id=next(olu_atts_id_gen)
                [dbs_olu.execute(i) for i in apply_function(corine_transformations(feature,olu_id,atts_id,kod_obce,olu_object_table,olu_attribute_set_table,olu_atts_to_object_table),'three_insert_statements')]
        else:
            break
コード例 #9
0
                               'Vusc':{'level_value':1,'parent_value':'1','id_attribute':'Kod'},
                               'Okresy':{'level_value':2,'parent_attribute':'VuscKod','id_attribute':'Kod'},
                               'Obce':{'level_value':3,'parent_attribute':'OkresKod','id_attribute':'Kod'},
                               'KatastralniUzemi':{'level_value':4,'parent_attribute':'ObecKod','id_attribute':'Kod'}}
                               
for l in list(set(concept_list).intersection(set(admunit_cz.get_data_source().list_layers()))):
    admunit_cz.append_subgeoconcept(SubGeoConcept(l,l,'AdmUnitFeature',admunit_cz.get_attributes(),data_source=DataSource(admunit_cz.get_data_source().get_type(),admunit_cz.get_data_source().get_name(),({**admunit_cz.get_data_source().get_attributes(),**{'layer':l}}),None,admunit_cz.get_data_source().get_data_file()),supergeoconcept=admunit_cz,table_inheritance=False,type='semantic',subgeoconcepts=[]))


# %%
concept_list=['Parcely']
concept_additional_attributes={'Parcely':{'id_attribute':'Id'}}

for i in re.findall('\{.*?\}',ruian_parcely_cz.get_data_source().get_attributes()['url']): 
    if i[1:-1] in list(compilable_tree_dictionary(admunit_cz).keys()):
        for j in apply_function(compilable_tree_dictionary(admunit_cz),i[1:-1]):
            ruian_parcely_cz.append_subgeoconcept(SubGeoConcept(str(j),'RUIAN land parcels in Czech administrative territorial unit %s ' % str(j),'FeatureWithID',ruian_parcely_cz.get_attributes(),data_source=DataSource(ruian_parcely_cz.get_data_source().get_type(),ruian_parcely_cz.get_data_source().get_name(),(dict(ruian_parcely_cz.get_data_source().get_attributes(),**{'url':ruian_parcely_cz.get_data_source().get_attributes()['url'].replace(i,str(j))})),None,None),supergeoconcept=ruian_parcely_cz,table_inheritance=True,subgeoconcepts=[]))


# %%
for i in re.findall('\{.*?\}',lpis_cz.get_data_source().get_attributes()['url']): 
    if i[1:-1] in list(compilable_tree_dictionary(admunit_cz).keys()):
        for j in apply_function(compilable_tree_dictionary(admunit_cz),i[1:-1]):
            lpis_cz.append_subgeoconcept(SubGeoConcept(str(j),'LPIS in Czech administrative territorial unit %s ' % str(j),'FeatureWithID',lpis_cz.get_attributes(),data_source=DataSource(lpis_cz.get_data_source().get_type(),lpis_cz.get_data_source().get_name(),(dict(lpis_cz.get_data_source().get_attributes(),**{'url':lpis_cz.get_data_source().get_attributes()['url'].replace(i,str(j))})),None,None),supergeoconcept=lpis_cz,table_inheritance=True,subgeoconcepts=[],type='spatial:admin',adm_graph_node=str(j)))

# %%
concept_list=[re.search('_.*_',file)[0][1:-1] for file in os.listdir('.') if file.endswith('.zip') and file.startswith('CZ')]
for concept in concept_list:
    for i in re.findall('\{.*?\}',ua_cz.get_data_source().get_attributes()['layer']): 
        if i.split(':')[1][:-1] in list((compilable_ua_dictionary('')).keys()):
            geoconcept=SubGeoConcept('%s' % concept,'Urban Atlas in agglomeration %s ' % str(concept),'FeatureWithID',ua_cz.get_attributes(),data_source=DataSource(ua_cz.get_data_source().get_type(), ua_cz.get_data_source().get_name(),(ua_cz.get_data_source().get_attributes()),None,None),supergeoconcept=ua_cz,table_inheritance=True,subgeoconcepts=[])