

In [1]:

    
%matplotlib inline

import nivapy3 as nivapy
import pandas as pd
import matplotlib.pyplot as plt

Map Norwegian ICPW stations



In [2]:

    
xl_path = r'../../../Thematic_Trends_Report_2020/land_cover_request/icpw_land_cover_by_country_2020-02-11.xlsx'
df = pd.read_excel(xl_path, sheet_name='all_stn_locs')
df = df.query('country == "Norway"')
df.head()









    Out[2]:







  
    
      
      station_id
      station_code
      station_name
      latitude
      longitude
      altitude
      continent
      country
      region
      group
    
  
  
    
      231
      38269
      Tr18_NO_1004-13
      Store Eitlandsvatn
      58.494446
      6.735276
      392.0
      Europe
      Norway
      SoNord
      Trends
    
    
      232
      38310
      Tr18_NO_1004-15
      Botnevatnet
      58.286048
      6.490128
      49.0
      Europe
      Norway
      SoNord
      Trends
    
    
      233
      38306
      Tr18_NO_1014-12
      Sognevatn
      58.316266
      7.675424
      268.0
      Europe
      Norway
      SoNord
      Trends
    
    
      234
      38298
      Tr18_NO_1014-25
      Drivenesvatn
      58.292608
      7.930483
      168.0
      Europe
      Norway
      SoNord
      Trends
    
    
      235
      38292
      Tr18_NO_101-605
      Holvatn
      59.102665
      11.525462
      164.0
      Europe
      Norway
      SoNord
      Trends



In [3]:

    
nivapy.spatial.quickmap(df,
                        popup='station_code',
                        aerial_imagery=True,
                        kartverket=True,
                        )









    Out[3]:

	station_id	station_code	station_name	latitude	longitude	altitude	continent	country	region	group
231	38269	Tr18_NO_1004-13	Store Eitlandsvatn	58.494446	6.735276	392.0	Europe	Norway	SoNord	Trends
232	38310	Tr18_NO_1004-15	Botnevatnet	58.286048	6.490128	49.0	Europe	Norway	SoNord	Trends
233	38306	Tr18_NO_1014-12	Sognevatn	58.316266	7.675424	268.0	Europe	Norway	SoNord	Trends
234	38298	Tr18_NO_1014-25	Drivenesvatn	58.292608	7.930483	168.0	Europe	Norway	SoNord	Trends
235	38292	Tr18_NO_101-605	Holvatn	59.102665	11.525462	164.0	Europe	Norway	SoNord	Trends