-
Notifications
You must be signed in to change notification settings - Fork 1
/
oils_ais_analysis.py
160 lines (125 loc) · 7.91 KB
/
oils_ais_analysis.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
import geopandas as gpd
import pandas as pd
from datetime import datetime, timedelta
import os, sys
from shapely.geometry import LineString
basemap_path = r"D:\BARATA\1.basemaps\base_p_ina_geo_fix.shp"
wpp_path = r"D:\BARATA\1.basemaps\WPP_NEW.shp"
# SUHENDRA-PC
#os.chdir(r"E:\Development\BARATA\Riset\02-oil-spill\oils_ais_analysis")
#oil_path = r"E:\Development\BARATA\Riset\02-oil-spill\kepri_201812_oils\kepri_20181212_oils.shp"
#ais_path = r"E:\Development\BARATA\Riset\09-data-ais\2018\indo_20181212_ais.csv"
# WSBARATA01
os.chdir(r"D:\Suhendra\BARATA\Riset\oils_ais_analysis")
oil_path = r"D:\Suhendra\BARATA\Riset\data oil\kepri_201812_oils\kepri_20181207_oils.shp"
ais_path = r"D:\BARATA\10.ais\2018\indo_20181207_ais.csv"
oil_gdf = gpd.read_file(oil_path).sort_values(by='DATE-TIME')
ais_df = pd.read_csv(ais_path)
ais_gdf = gpd.GeoDataFrame(ais_df, geometry=gpd.points_from_xy(ais_df['longitude'], ais_df['latitude']))
#oil_gdf['DATETIME-UNIFORM'] = [datetime.strptime(i[:-11], '%Y-%m-%dT%H').strftime('%Y-%m-%dT%H:%M:%S') for i in oil_gdf['DATE-TIME']]
#oil_dissolve = oil_gdf.dissolve(by='DATETIME-UNIFORM')
# membuat buffer dari centroid oil
oil_buffer = oil_gdf.copy()
oil_buffer.geometry = oil_buffer.geometry.centroid.buffer(0.5)
oil_buffer['DATE-TIME'] = [datetime.strptime(i, '%Y-%m-%dT%H:%M:%S.%fZ') for i in oil_buffer['DATE-TIME']]
# menghomogenkan waktu untuk nilai waktu yang masih dalam rentang 1 jam
for i in range(len(oil_buffer['DATE-TIME']) - 1):
if oil_buffer['DATE-TIME'][i] is None:
continue
for j in range(i+1, len(oil_buffer['DATE-TIME'])):
if oil_buffer['DATE-TIME'][j] is None:
continue
if oil_buffer['DATE-TIME'][j] - oil_buffer['DATE-TIME'][i] <= timedelta(hours=1):
oil_buffer['DATE-TIME'][j] = oil_buffer['DATE-TIME'][i]
oil_buffer['DATE-TIME'] = oil_buffer['DATE-TIME'].astype(str)
oil_buffer = oil_buffer.dissolve(by='DATE-TIME', aggfunc='mean').reset_index()
def timedelta_max(dt_list):
td_list = [dt_list.iloc[i]-dt_list.iloc[i-1] for i in range(1, len(dt_list))]
if not len(td_list) == 0:
td_max = max(td_list)
else:
td_max = timedelta(0)
return td_max
def rule_based_style(layer, symbol, renderer, label, color, expression=None):
root_rule = renderer.rootRule()
rule = root_rule.children()[0].clone()
rule.setLabel(label)
if expression != None:
rule.setFilterExpression(expression)
else:
rule.setIsElse(True)
rule.symbol().setColor(QColor(color))
root_rule.appendChild(rule)
layer.setRenderer(renderer)
layer.triggerRepaint()
iface.layerTreeView().refreshLayerSymbology(layer.id())
root = QgsProject.instance().layerTreeRoot()
# looping setiap buffer oil
for i, oil in oil_buffer.iterrows():
oilstrptime = datetime.strptime(oil['DATE-TIME'], '%Y-%m-%d %H:%M:%S')
oildate = oilstrptime.strftime('%Y-%m-%dT%H:%M:%S')
startdate = (oilstrptime - timedelta(hours=1)).strftime('%Y-%m-%dT%H:%M:%S')
stopdate = (oilstrptime + timedelta(hours=1)).strftime('%Y-%m-%dT%H:%M:%S')
# clip ais pada setiap buffer oil
ais_clip = gpd.clip(ais_gdf, oil.geometry)
# filter ais pada rentang waktu 1 jam sebelum dan sesudah waktu oil
ais_filter = ais_clip.loc[(ais_clip['time'] >= startdate) & (ais_clip['time'] <= stopdate)]
ais_filter_a = ais_clip.loc[(ais_clip['time'] >= oildate) & (ais_clip['time'] <= stopdate)]
ais_filter_b = ais_clip.loc[(ais_clip['time'] >= startdate) & (ais_clip['time'] <= oildate)]
ais_filter_ori = ais_gdf.loc[ais_gdf['mmsi'].isin(ais_filter['mmsi'])]
# membuat data ais dalam bentuk line dengan sortir waktu
ais_filter_ori = ais_filter_ori.sort_values(by='time')
ais_line = ais_filter_ori.groupby('mmsi')['geometry'].apply(lambda x: LineString(x.tolist()) if x.size > 1 else None)
ais_min_time = ais_filter_ori.groupby('mmsi')['time'].agg('min')
ais_max_time = ais_filter_ori.groupby('mmsi')['time'].agg('max')
ais_filter_ori['time'] = ais_filter_ori['time'].astype('datetime64')
ais_max_td = ais_filter_ori.groupby('mmsi')['time'].apply(timedelta_max)
ais_filter_ori['time'] = ais_filter_ori['time'].astype(str)
ais_line_gdf = gpd.GeoDataFrame(ais_line[~ais_line.isna()])
ais_line_gdf = ais_line_gdf.merge(ais_min_time, on='mmsi')
ais_line_gdf = ais_line_gdf.merge(ais_max_time, on='mmsi', suffixes=('_start', '_end')).reset_index()
oil_row = oil_gdf[oil_gdf['DATE-TIME'].str.contains(oildate[:-6])]
oil_buffer_row = gpd.GeoDataFrame([oil])
# memuat data agar dapat ditampilkan di canvas QGIS
ais_filter_ori_layer = QgsVectorLayer(ais_filter_ori.to_json(), oildate+"_ais", "ogr")
ais_line_layer = QgsVectorLayer(ais_line_gdf.to_json(), oildate+'_line','ogr')
oil_layer = QgsVectorLayer(oil_row.to_json(), oildate+"_oil", "ogr")
oil_buffer_layer = QgsVectorLayer(oil_buffer_row.to_json(), oildate+"_buffer", "ogr")
QgsProject.instance().addMapLayer(oil_buffer_layer, False)
QgsProject.instance().addMapLayer(oil_layer, False)
QgsProject.instance().addMapLayer(ais_line_layer, False)
QgsProject.instance().addMapLayer(ais_filter_ori_layer, False)
oil_date = oilstrptime.strftime('%Y-%m-%dT%H:%M:%S.%f')[:-3]
symbol = QgsSymbol.defaultSymbol(ais_filter_ori_layer.geometryType())
renderer = QgsRuleBasedRenderer(symbol)
#rule_based_style(ais_filter_ori_layer, symbol, renderer, 'before', f"\"time\" < '{oil_date}'", 'cyan')
#rule_based_style(ais_filter_ori_layer, symbol, renderer, 'after', f"\"time\" > '{oil_date}'", 'yellow')
style_exp1 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) < -60"
style_exp2 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) < -30 AND minute(to_datetime(\"time\") - to_datetime('{oil_date}')) >= -60"
style_exp3 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) < 0 AND minute(to_datetime(\"time\") - to_datetime('{oil_date}')) >= -30"
style_exp4 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) > 0 AND minute(to_datetime(\"time\") - to_datetime('{oil_date}')) <= 30"
style_exp5 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) > 30 AND minute(to_datetime(\"time\") - to_datetime('{oil_date}')) <= 60"
style_exp6 = f"minute(to_datetime(\"time\") - to_datetime('{oil_date}')) > 60"
rule_based_style(ais_filter_ori_layer, symbol, renderer, '> 60 minutes before', 'cyan', style_exp1)
rule_based_style(ais_filter_ori_layer, symbol, renderer, '30 - 60 minutes before', 'yellow', style_exp2)
rule_based_style(ais_filter_ori_layer, symbol, renderer, '0 - 30 minutes before', 'orange', style_exp3)
rule_based_style(ais_filter_ori_layer, symbol, renderer, '0 - 30 minutes after', 'red', style_exp4)
rule_based_style(ais_filter_ori_layer, symbol, renderer, '30 - 60 minutes after', 'green', style_exp5)
rule_based_style(ais_filter_ori_layer, symbol, renderer, '> 60 minutes after', 'blue', style_exp6)
oil_buffer_layer.loadNamedStyle(r"templates\oils_buffer.qml")
oil_layer.loadNamedStyle(r"templates\oils_fill.qml")
ais_line_layer.loadNamedStyle(r"templates\ais_line_trajectory.qml")
data_group = root.addGroup(oildate)
data_group.addLayer(ais_filter_ori_layer)
data_group.addLayer(ais_line_layer)
data_group.addLayer(oil_layer)
data_group.addLayer(oil_buffer_layer)
basemap_layer = QgsVectorLayer(basemap_path, 'Peta Indonesia', 'ogr')
wpp_layer = QgsVectorLayer(wpp_path, 'WPP RI', 'ogr')
basemap_group = root.addGroup('Basemap')
QgsProject.instance().addMapLayer(basemap_layer, False)
QgsProject.instance().addMapLayer(wpp_layer, False)
basemap_layer.loadNamedStyle(r"templates\basemap.qml")
wpp_layer.loadNamedStyle(r"templates\wpp.qml")
basemap_group.addLayer(wpp_layer)
basemap_group.addLayer(basemap_layer)