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DISTANCE POINT BETWEEN TO POINT¶

Exercise 1¶

  1. Use two maps of points from your country.

  2. Compute the distance matrix for both maps.

  3. Select one row of the distance matrix, and plot the two points with the minimal distance on top of the country of your choosing.

In [52]:
import geopandas as gpd

centrales_electricas=gpd.read_file('https://github.com/valeriacaroe/Parte1/raw/refs/heads/main/maps/puntos_de_energia_AD010/puntos_de_energia_AD010Point.shp')
aeropuertos=gpd.read_file('https://github.com/valeriacaroe/Parte1/raw/refs/heads/main/aeropuertos/aeropuertos/puntos_de_transporte_aereo_GB005Point.shp')
centrales_electricas=centrales_electricas.to_crs(5343)
aeropuertos=aeropuertos.to_crs(5343)
In [53]:
powerplant = centrales_electricas[centrales_electricas['fdc'] == 'IGN01']
powerplant.reset_index(drop=True, inplace=True)
In [54]:
import pandas as pd

portsFileLink="https://github.com/CienciaDeDatosEspacial/GeoDataFrame_Analytics/raw/main/data/UpdatedPub150.csv"
infoseaports=pd.read_csv(portsFileLink)

Let's do some preprocessing:

In [55]:
#rename
infoseaports.rename(columns={'Main Port Name':'portName'},inplace=True)
#keep few columns
infoseaports=infoseaports.loc[:,['portName', 'Country Code','Latitude', 'Longitude']]

# we have now
infoseaports.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3739 entries, 0 to 3738
Data columns (total 4 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   portName      3739 non-null   object 
 1   Country Code  3739 non-null   object 
 2   Latitude      3739 non-null   float64
 3   Longitude     3739 non-null   float64
dtypes: float64(2), object(2)
memory usage: 117.0+ KB

Let's turn those points into projected spatial object (GDF of points):

In [56]:
#spatial points (unprojected)
seaports=gpd.GeoDataFrame(data=infoseaports.copy(),
                           geometry=gpd.points_from_xy(infoseaports.Longitude,
                                                       infoseaports.Latitude),
                          crs=4326)# notice it is unprojected

# keep Brazil
main_port_arg=seaports[seaports['Country Code']=='Argentina'].copy()

# reset indexes
main_port_arg.reset_index(drop=True, inplace=True)

# reprojecting
main_port_arg=main_port_arg.to_crs(5641) # projected crs

Let me plot seaports along with the large airports:

In [57]:
#plotting
base=powerplant.plot(color='red',marker="^")
main_port_arg.plot(ax=base,alpha=0.5,markersize=3)
Out[57]:
<Axes: >
No description has been provided for this image
In [58]:
powerplant.head()
Out[58]:
gid entidad objeto fna gna nam fun ppc sag fdc geometry
0 766 0.0 Central Eléctrica Estación Hidrológica Piedras Pintadas Estación Hidrológica Piedras Pintadas 6.0 -2.0 IGN IGN01 POINT (1774703.306 6700135.505)
1 769 0.0 Central Eléctrica Usina Hidroeléctrica Don Claudio Tinto Usina Hidroeléctrica Don Claudio Tinto -1.0 1.0 IGN IGN01 POINT (1733078.976 6527474.731)
2 774 0.0 Central Eléctrica Central Hidroeléctrica Los Caracoles Central Hidroeléctrica Los Caracoles 6.0 1.0 IGN IGN01 POINT (1788058.68 6509679.877)
3 775 0.0 Central Eléctrica Central Hidroelectrica Albardón Central Hidroelectrica Albardón 6.0 1.0 IGN IGN01 POINT (1828570.783 6515681.321)
4 776 0.0 Central Eléctrica Usina Vitry Usina Vitry 6.0 7.0 IGN IGN01 POINT (1823052.017 6510564.832)
In [59]:
main_port_arg.head()
Out[59]:
portName Country Code Latitude Longitude geometry
0 Puerto Madryn Argentina -42.766667 -65.033333 POINT (2548744.739 4755674.117)
1 Mar Del Plata Argentina -38.033333 -57.533333 POINT (3383135.726 5444951.404)
2 La Plata Argentina -34.833333 -57.883333 POINT (3344197.48 5885642.645)
3 Buenos Aires Argentina -34.600000 -58.366667 POINT (3290425.542 5917080.406)
4 Puerto Rosales Argentina -38.933333 -62.066667 POINT (2878792.655 5317564.031)

What about computing all possible distances between those GDFs?

Let's keep the last one:

In [60]:
distanceMatrixKM_port_powerplant= main_port_arg.set_index('portName').geometry.apply\
                          (lambda g: powerplant.set_index('fna').geometry.distance(g)/1000).\
                          sort_index(axis=0).sort_index(axis=1)
distanceMatrixKM_port_powerplant
Out[60]:
fna Central Hidroelectrica Albardón Central Hidroeléctrica Los Caracoles Central Térmica El Portón Central Térmica Piedras Negras Estación Hidrológica Piedras Pintadas Usina Hidroeléctrica Don Claudio Tinto Usina Vitry
portName
Bahia Blanca 1562.537245 1585.044408 1271.558750 1144.136723 1738.769098 1635.500680 1562.332757
Buenos Aires 1579.665278 1615.017127 1582.433169 1469.415479 1706.044895 1672.695297 1582.848327
Campana 1495.324676 1531.094405 1518.166782 1407.788791 1619.190134 1588.833060 1498.647196
Colon 1514.379085 1553.119592 1645.311094 1546.139920 1610.820112 1610.407070 1518.858967
Comodoro Rivadavia 2285.179968 2287.629542 1707.883878 1620.698208 2476.681285 2317.324343 2281.257905
Concepcion Del Uruguay 1510.405525 1548.819033 1627.354725 1526.612454 1610.719364 1606.266286 1514.738580
Concordia 1509.237569 1548.810178 1681.767138 1587.718687 1594.096474 1605.453251 1514.132799
Diamante 1236.087460 1274.479719 1378.045243 1284.199483 1338.622373 1331.932444 1240.407644
La Plata 1641.363158 1676.600856 1635.883938 1521.640938 1768.250712 1734.258129 1644.509428
Mar Del Plata 1887.626741 1917.789744 1731.717479 1606.613831 2040.230863 1973.459913 1889.283768
Parana 1239.971752 1278.872843 1403.316805 1312.033180 1336.446470 1336.062928 1244.523664
Puerto Belgrano 1585.454639 1608.055090 1294.422413 1167.003023 1761.450148 1658.578598 1585.271750
Puerto Deseado 2621.052118 2625.180830 2054.701445 1964.236333 2813.038930 2656.754635 2617.404241
Puerto Gallegos 3221.638624 3219.473364 2610.012574 2540.678468 3410.312761 3243.127671 3217.031423
Puerto Galvan 1560.100062 1582.546956 1268.211063 1140.789694 1736.464228 1632.955541 1559.882134
Puerto Ibicuy 1454.197706 1490.514356 1498.353126 1390.490892 1574.222229 1548.296641 1457.710146
Puerto Ingeniero White 1564.322361 1586.795243 1272.578440 1145.157344 1740.624550 1637.223310 1564.110356
Puerto Madryn 1901.650831 1911.852371 1407.887314 1296.852135 2092.861732 1950.535325 1899.018522
Puerto Nacional 1563.104573 1585.547341 1270.905739 1143.485095 1739.472773 1635.951562 1562.885855
Puerto Rosales 1593.251713 1615.809641 1300.856843 1173.441991 1769.326757 1666.296413 1593.059699
Puerto San Julian 2839.970259 2840.372422 2244.591194 2166.152322 3030.504324 2867.369455 2835.740769
Puerto San Martin 1248.063634 1285.408496 1348.724256 1249.832791 1360.920187 1343.143464 1251.953380
Puerto Santa Cruz 2947.036083 2945.930140 2341.928533 2268.599189 3136.562228 2971.005939 2942.581463
Quequen 1829.962862 1857.982316 1629.519705 1503.050968 1990.687385 1912.385032 1831.063967
Ramallo 1354.972034 1391.332146 1410.225369 1304.745935 1475.250628 1449.116363 1358.497950
Rio Grande 3631.118169 3630.134527 3025.242758 2952.777782 3820.745639 3655.211319 3626.688481
Rosario 1267.597124 1304.586902 1353.551070 1252.683793 1383.396216 1362.359709 1271.351664
San Blas 1766.185302 1785.349309 1404.230525 1278.774589 1948.417247 1832.897975 1765.271916
San Lorenzo 1249.294208 1286.582886 1347.812218 1248.657434 1362.642848 1344.325495 1253.162220
San Nicolas 1325.676642 1362.189510 1389.063574 1284.851600 1444.955533 1419.977001 1329.256779
San Pedro 1380.378461 1416.666508 1430.675182 1324.343186 1501.052216 1474.447869 1383.879263
San Sebastian Bay 3507.109332 3505.237819 2896.557734 2826.711511 3696.035984 3529.207004 3502.547643
Santa Fe 1220.208747 1259.165176 1388.220033 1297.884673 1316.157764 1316.319786 1224.786793
Ushuaia 3819.383366 3817.411262 3207.865087 3138.730586 4008.227963 3841.194319 3814.809402
Villa Constitucion 1310.890693 1347.528734 1380.050811 1276.671881 1429.275088 1405.316112 1314.515950
Villa Constitucion 1313.720621 1350.242636 1378.707640 1274.843205 1433.007950 1408.030212 1317.303798
Zarate 1485.206065 1521.051395 1511.334626 1401.374532 1608.579836 1578.798546 1488.554323
In [61]:
third_row_distances = distanceMatrixKM_port_powerplant.iloc[2]
third_row_distances
Out[61]:
Campana
fna
Central Hidroelectrica Albardón 1495.324676
Central Hidroeléctrica Los Caracoles 1531.094405
Central Térmica El Portón 1518.166782
Central Térmica Piedras Negras 1407.788791
Estación Hidrológica Piedras Pintadas 1619.190134
Usina Hidroeléctrica Don Claudio Tinto 1588.833060
Usina Vitry 1498.647196

In [62]:
min_powerplant_name = third_row_distances.idxmin()
min_powerplant_name
Out[62]:
'Central Térmica Piedras Negras'
In [63]:
campana=main_port_arg[main_port_arg.portName.str.contains('Campana')]
campana
Out[63]:
portName Country Code Latitude Longitude geometry
35 Campana Argentina -34.15 -58.966667 POINT (3223674.263 5977460.02)
In [64]:
piedrasNegras = powerplant[powerplant.fna == min_powerplant_name]
piedrasNegras
Out[64]:
gid entidad objeto fna gna nam fun ppc sag fdc geometry
5 802 0.0 Central Eléctrica Central Térmica Piedras Negras Central Térmica Piedras Negras 6.0 7.0 IGN IGN01 POINT (1823544.924 5830806.987)
In [65]:
%pip install folium matplotlib mapclassify

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In [66]:
base=campana.explore(color='red',marker_kwds=dict(radius=10))
piedrasNegras.explore(m=base,color='blue',marker_kwds=dict(radius=10))
Out[66]:
Make this Notebook Trusted to load map: File -> Trust Notebook

DISTANCE BETWEEN LINE AND POINT¶

Exercise 2¶

  1. Use a map of points and a map of lines from your country.

  2. Compute the distance matrix for both.

  3. Select one line of the distance matrix, and plot the closests and the farthest point to that line.

Let's take a look at the rivers we have:

In [67]:
ferrovias = gpd.read_file('https://github.com/valeriacaroe/Parte1/raw/refs/heads/main/maps/lineas_de_transporte_ferroviario_AN010/lineas_de_transporte_ferroviario_AN010Line.shp')
ferrovias=ferrovias.to_crs(5641)
In [68]:
ferrovias.fdc.unique()
Out[68]:
array(['IGN/Trenes Argentinos Cargas', 'IGN',
       'Imagery/IGN01/Ministerio de Transporte de la Nación/Dir. Geografía IGN',
       'IGN/Ministerio de Transporte de la Nación',
       'IGN/Ministerio de Transporte de la Nación/Ferroexpreso Pampeano',
       'IGN/Ministerio de Transporte de la Nación/Ferrosur',
       'IGN/Pagina web institucional', 'IGN/Tren Roca',
       'IGN/Ministerio de Transporte de la Nación/NCA',
       'IGN/Tren Belgrano Sur', 'IGN/Tren General Belgrano Sur',
       'IGN/Tren Roca/Ferrosur', 'IGN/Tren Sarmiento',
       'IGN/Ministerio de Transporte de la Nación/Trenes Argentinos Cargas',
       'IGN/Tren Mitre', 'IGN/Tren Belgrano Norte', 'IGN/Tren San Martín',
       'IGN/Tren Urquiza', 'IGN/Tren de la Costa',
       'IGN/Parque Nacional Iguazú',
       'IGN/Ministerio de Transporte de la Naciónl/Decreto 153/2003',
       'Esri-world_imagery-2010/IGN04/Ministerio de Transporte de la Nación/Dir. Geografía IGN',
       'Esri-Word_Imagery/IGN04/IGN Dirección de Geografía/Ferrosur',
       'Esri-world_imagery-2010/Ministerio de Transporte de la Nación/Dir. Geografía IGN',
       'Esri-Word_Imagery/IGN04/Ministerio de Transporte de la Nación/Ferrosur',
       'IGN/Ministerio de Transporte de la Nación/Pagina Web empresa',
       'IGN04/Ministerio de Transporte de la Nación/Ferrosur',
       'Esri-world_imagery-2010/IGN01/Ministerio de Transporte de la Nación/Dir. Geografía IGN',
       'Esri-World_imageryIGN01/Ministerio de Transporte de la Nación/IGN Dirección de Geografía',
       'Esri-Word_Imagery/IG0N04/Ministerio de Transporte de la Nación/Ferrosur',
       'IGN/Ministerio de la Nación/Dir. Geografía IGN/Sitio web del concesionario',
       'IGN01/Ministerio de Transporte'], dtype=object)
In [69]:
print(ferrovias['fdc'].value_counts())

fdc
IGN/Trenes Argentinos Cargas                                                                376
IGN/Ministerio de Transporte de la Nación                                                   327
IGN/Ministerio de Transporte de la Nación/NCA                                               117
IGN/Ministerio de Transporte de la Nación/Ferrosur                                           67
IGN/Ministerio de Transporte de la Nación/Ferroexpreso Pampeano                              55
IGN                                                                                          46
IGN/Tren Roca                                                                                25
IGN/Tren Mitre                                                                               13
IGN/Ministerio de Transporte de la Nación/Trenes Argentinos Cargas                            8
IGN/Tren Belgrano Sur                                                                         7
IGN/Tren San Martín                                                                           6
IGN/Tren Belgrano Norte                                                                       5
IGN/Ministerio de Transporte de la Nación/Pagina Web empresa                                  4
IGN04/Ministerio de Transporte de la Nación/Ferrosur                                          4
IGN/Ministerio de Transporte de la Naciónl/Decreto 153/2003                                   4
IGN/Tren General Belgrano Sur                                                                 3
IGN/Tren Sarmiento                                                                            3
Esri-world_imagery-2010/IGN01/Ministerio de Transporte de la Nación/Dir. Geografía IGN        2
IGN/Tren Roca/Ferrosur                                                                        2
Esri-World_imageryIGN01/Ministerio de Transporte de la Nación/IGN Dirección de Geografía      2
IGN/Parque Nacional Iguazú                                                                    2
Esri-world_imagery-2010/IGN04/Ministerio de Transporte de la Nación/Dir. Geografía IGN        2
IGN/Tren de la Costa                                                                          2
IGN/Tren Urquiza                                                                              2
Imagery/IGN01/Ministerio de Transporte de la Nación/Dir. Geografía IGN                        1
IGN/Pagina web institucional                                                                  1
Esri-world_imagery-2010/Ministerio de Transporte de la Nación/Dir. Geografía IGN              1
Esri-Word_Imagery/IGN04/IGN Dirección de Geografía/Ferrosur                                   1
Esri-Word_Imagery/IGN04/Ministerio de Transporte de la Nación/Ferrosur                        1
Esri-Word_Imagery/IG0N04/Ministerio de Transporte de la Nación/Ferrosur                       1
IGN/Ministerio de la Nación/Dir. Geografía IGN/Sitio web del concesionario                    1
IGN01/Ministerio de Transporte                                                                1
Name: count, dtype: int64
In [70]:
trenesDeCarga = ferrovias[ferrovias.fdc == 'IGN/Ministerio de Transporte de la Nación/Trenes Argentinos Cargas']
trenesDeCarga.drop_duplicates(subset=['fna'], inplace=True)
trenesDeCarga.reset_index(drop=True, inplace=True)
trenesDeCarga

/tmp/ipython-input-70-2031160285.py:2: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  trenesDeCarga.drop_duplicates(subset=['fna'], inplace=True)
Out[70]:
gid entidad objeto fna gna nam fun rgc ltn loc fdc sag geometry
0 340 0.0 Ferrocarril Ferrocarril General San Martín Ramal SMB - Junin Ferrocarril Nacional General San Martín Ramal SMB - Junin 6.0 1.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (3100453.44 5915679.702, 3103553.31...
1 400 0.0 Ferrocarril Ferrocarril Nacional General Belgrano Ramal F1 Ferrocarril Nacional General Belgrano Ramal F1 6.0 2.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (3029107.645 6150749.166, 3029234.6...
2 713 0.0 Ferrocarril Ferrocarril Nacional General Belgrano Ramal C3 Ferrocarril Nacional General Belgrano Ramal C3 6.0 2.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (2963794.384 6855066.915, 2968665.2...
3 954 0.0 Ferrocarril Ferrocarril Nacional General San Martín Ramal ... Ferrocarril Nacional General San Martín Ramal SMC - Junin 6.0 1.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (3003050.282 5919220.443, 3003214.6...
4 959 0.0 Ferrocarril Ferrocarril Nacional General Belgrano Ramal F ... Ferrocarril Nacional General Belgrano Ramal F - Los Amores 6.0 2.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (3211809.33 6847876.308, 3208420.27...
5 956 0.0 Ferrocarril Ferrocarril Nacional General Belgrano Ramal C6 Ferrocarril Nacional General Belgrano Ramal C6 6.0 2.0 1.0 44.0 IGN/Ministerio de Transporte de la Nación/Tren... IGN LINESTRING (2953064.51 6783525.133, 2953480.88...
In [71]:
trenesDeCarga.plot()
Out[71]:
<Axes: >
No description has been provided for this image
In [72]:
# Drop duplicates in main_port_arg based on 'portName' before setting the index
distanceMatrixKM_2 = trenesDeCarga.drop_duplicates(subset=['fna']).set_index('fna').geometry.apply \
    (lambda g: main_port_arg.drop_duplicates(subset=['portName']).set_index('portName').geometry.distance(g) / 1000). \
    sort_index(axis=0).sort_index(axis=1)
distanceMatrixKM_2
Out[72]:
portName Bahia Blanca Buenos Aires Campana Colon Comodoro Rivadavia Concepcion Del Uruguay Concordia Diamante La Plata Mar Del Plata ... Rosario San Blas San Lorenzo San Nicolas San Pedro San Sebastian Bay Santa Fe Ushuaia Villa Constitucion Zarate
fna
Ferrocarril General San Martín Ramal SMB - Junin 626.226163 123.444233 89.868672 355.786962 1835.144247 319.618524 457.390154 343.236547 178.174291 510.321345 ... 229.806494 867.461510 258.218794 171.452081 137.373325 3039.285717 397.660848 3330.863637 186.028537 92.709593
Ferrocarril Nacional General Belgrano Ramal C3 1519.948463 993.230388 915.276687 714.805953 2669.513570 740.209654 630.811905 606.541616 1041.388462 1471.146803 ... 722.007947 1775.950161 694.691028 777.999724 818.893203 3913.302842 551.954230 4214.590763 763.261261 904.631951
Ferrocarril Nacional General Belgrano Ramal C6 1447.838923 929.805856 850.276781 659.377658 2597.628606 683.009686 580.704146 537.142508 979.376312 1405.966172 ... 652.204019 1703.917044 624.662478 709.267116 751.404906 3841.081440 482.633119 4142.298938 694.262586 839.473013
Ferrocarril Nacional General Belgrano Ramal F - Los Amores 1443.955561 862.105095 790.906985 565.657215 2620.994075 594.624812 473.117510 512.837071 905.223454 1343.211612 ... 627.593637 1696.760986 602.863091 674.655679 707.485119 3854.088971 460.103162 4151.774350 661.988224 781.046624
Ferrocarril Nacional General Belgrano Ramal F1 829.979647 350.552824 260.546501 297.869931 2020.403895 279.494453 349.058018 89.281776 411.773449 789.611527 ... 16.589651 1081.870112 0.754682 83.920102 139.816739 3243.929202 143.034148 3539.791691 66.622348 249.081705
Ferrocarril Nacional General San Martín Ramal SMC - Junin 598.521578 284.798422 225.434623 441.135373 1796.846885 408.833877 528.759739 334.146550 340.308636 606.895340 ... 219.189627 849.175534 244.058054 183.087935 181.383015 3014.070820 387.860092 3308.860630 191.059641 220.778437

6 rows × 36 columns

Here, we see one row (river), that tells the distance to each column (large airport):

In [73]:
distances_SMB = distanceMatrixKM_2.loc[['Ferrocarril General San Martín Ramal SMB - Junin']]
distances_SMB
Out[73]:
portName Bahia Blanca Buenos Aires Campana Colon Comodoro Rivadavia Concepcion Del Uruguay Concordia Diamante La Plata Mar Del Plata ... Rosario San Blas San Lorenzo San Nicolas San Pedro San Sebastian Bay Santa Fe Ushuaia Villa Constitucion Zarate
fna
Ferrocarril General San Martín Ramal SMB - Junin 626.226163 123.444233 89.868672 355.786962 1835.144247 319.618524 457.390154 343.236547 178.174291 510.321345 ... 229.806494 867.46151 258.218794 171.452081 137.373325 3039.285717 397.660848 3330.863637 186.028537 92.709593

1 rows × 36 columns

In [74]:
masLejano = distances_SMB.idxmax()
masLejano
Out[74]:
0
portName
Bahia Blanca Ferrocarril General San Martín Ramal SMB - Junin
Buenos Aires Ferrocarril General San Martín Ramal SMB - Junin
Campana Ferrocarril General San Martín Ramal SMB - Junin
Colon Ferrocarril General San Martín Ramal SMB - Junin
Comodoro Rivadavia Ferrocarril General San Martín Ramal SMB - Junin
Concepcion Del Uruguay Ferrocarril General San Martín Ramal SMB - Junin
Concordia Ferrocarril General San Martín Ramal SMB - Junin
Diamante Ferrocarril General San Martín Ramal SMB - Junin
La Plata Ferrocarril General San Martín Ramal SMB - Junin
Mar Del Plata Ferrocarril General San Martín Ramal SMB - Junin
Parana Ferrocarril General San Martín Ramal SMB - Junin
Puerto Belgrano Ferrocarril General San Martín Ramal SMB - Junin
Puerto Deseado Ferrocarril General San Martín Ramal SMB - Junin
Puerto Gallegos Ferrocarril General San Martín Ramal SMB - Junin
Puerto Galvan Ferrocarril General San Martín Ramal SMB - Junin
Puerto Ibicuy Ferrocarril General San Martín Ramal SMB - Junin
Puerto Ingeniero White Ferrocarril General San Martín Ramal SMB - Junin
Puerto Madryn Ferrocarril General San Martín Ramal SMB - Junin
Puerto Nacional Ferrocarril General San Martín Ramal SMB - Junin
Puerto Rosales Ferrocarril General San Martín Ramal SMB - Junin
Puerto San Julian Ferrocarril General San Martín Ramal SMB - Junin
Puerto San Martin Ferrocarril General San Martín Ramal SMB - Junin
Puerto Santa Cruz Ferrocarril General San Martín Ramal SMB - Junin
Quequen Ferrocarril General San Martín Ramal SMB - Junin
Ramallo Ferrocarril General San Martín Ramal SMB - Junin
Rio Grande Ferrocarril General San Martín Ramal SMB - Junin
Rosario Ferrocarril General San Martín Ramal SMB - Junin
San Blas Ferrocarril General San Martín Ramal SMB - Junin
San Lorenzo Ferrocarril General San Martín Ramal SMB - Junin
San Nicolas Ferrocarril General San Martín Ramal SMB - Junin
San Pedro Ferrocarril General San Martín Ramal SMB - Junin
San Sebastian Bay Ferrocarril General San Martín Ramal SMB - Junin
Santa Fe Ferrocarril General San Martín Ramal SMB - Junin
Ushuaia Ferrocarril General San Martín Ramal SMB - Junin
Villa Constitucion Ferrocarril General San Martín Ramal SMB - Junin
Zarate Ferrocarril General San Martín Ramal SMB - Junin

In [75]:
mascercano = distances_SMB.idxmin()
mascercano
Out[75]:
0
portName
Bahia Blanca Ferrocarril General San Martín Ramal SMB - Junin
Buenos Aires Ferrocarril General San Martín Ramal SMB - Junin
Campana Ferrocarril General San Martín Ramal SMB - Junin
Colon Ferrocarril General San Martín Ramal SMB - Junin
Comodoro Rivadavia Ferrocarril General San Martín Ramal SMB - Junin
Concepcion Del Uruguay Ferrocarril General San Martín Ramal SMB - Junin
Concordia Ferrocarril General San Martín Ramal SMB - Junin
Diamante Ferrocarril General San Martín Ramal SMB - Junin
La Plata Ferrocarril General San Martín Ramal SMB - Junin
Mar Del Plata Ferrocarril General San Martín Ramal SMB - Junin
Parana Ferrocarril General San Martín Ramal SMB - Junin
Puerto Belgrano Ferrocarril General San Martín Ramal SMB - Junin
Puerto Deseado Ferrocarril General San Martín Ramal SMB - Junin
Puerto Gallegos Ferrocarril General San Martín Ramal SMB - Junin
Puerto Galvan Ferrocarril General San Martín Ramal SMB - Junin
Puerto Ibicuy Ferrocarril General San Martín Ramal SMB - Junin
Puerto Ingeniero White Ferrocarril General San Martín Ramal SMB - Junin
Puerto Madryn Ferrocarril General San Martín Ramal SMB - Junin
Puerto Nacional Ferrocarril General San Martín Ramal SMB - Junin
Puerto Rosales Ferrocarril General San Martín Ramal SMB - Junin
Puerto San Julian Ferrocarril General San Martín Ramal SMB - Junin
Puerto San Martin Ferrocarril General San Martín Ramal SMB - Junin
Puerto Santa Cruz Ferrocarril General San Martín Ramal SMB - Junin
Quequen Ferrocarril General San Martín Ramal SMB - Junin
Ramallo Ferrocarril General San Martín Ramal SMB - Junin
Rio Grande Ferrocarril General San Martín Ramal SMB - Junin
Rosario Ferrocarril General San Martín Ramal SMB - Junin
San Blas Ferrocarril General San Martín Ramal SMB - Junin
San Lorenzo Ferrocarril General San Martín Ramal SMB - Junin
San Nicolas Ferrocarril General San Martín Ramal SMB - Junin
San Pedro Ferrocarril General San Martín Ramal SMB - Junin
San Sebastian Bay Ferrocarril General San Martín Ramal SMB - Junin
Santa Fe Ferrocarril General San Martín Ramal SMB - Junin
Ushuaia Ferrocarril General San Martín Ramal SMB - Junin
Villa Constitucion Ferrocarril General San Martín Ramal SMB - Junin
Zarate Ferrocarril General San Martín Ramal SMB - Junin

Let's try a simple plot of the river and the airports:

In [76]:
%pip install folium matplotlib mapclassify

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In [77]:
mascercano_port = main_port_arg[main_port_arg['portName'] == mascercano.iloc[0]]
masLejano_port = main_port_arg[main_port_arg['portName'] == masLejano.iloc[0]]
In [78]:
# Get the specific railway line
trenesDeCargaUso = trenesDeCarga[trenesDeCarga['fna'] == 'Ferrocarril General San Martín Ramal SMB - Junin']


# Plot the railway line, nearest port, and farthest port
base = trenesDeCargaUso.explore(color='blue')
mascercano_port.explore(m=base, color='green', marker_kwds=dict(radius=10))
masLejano_port.explore(m=base, color='red', marker_kwds=dict(radius=10))

/tmp/ipython-input-78-151150028.py:7: UserWarning: The GeoSeries you are attempting to plot is composed of empty geometries. Nothing has been displayed.
  mascercano_port.explore(m=base, color='green', marker_kwds=dict(radius=10))
/tmp/ipython-input-78-151150028.py:8: UserWarning: The GeoSeries you are attempting to plot is composed of empty geometries. Nothing has been displayed.
  masLejano_port.explore(m=base, color='red', marker_kwds=dict(radius=10))
Out[78]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Exercise 3¶

  1. Create a HULL for some set of line map.

  2. Compute the distance matrix between the HULLS and a map of points.

  3. Plot the HULLS and the points. Show the closest and farthest points to the HULL.

In [79]:
## MI DISTANCIA LINEA-PUNTO ES FERROVIAS-PUERTOS
In [80]:
trenesDeCarga.convex_hull
Out[80]:
0
0 POLYGON ((3166810.984 5907281.017, 3166612.289...
1 POLYGON ((3029107.645 6150749.166, 3025589.95 ...
2 POLYGON ((2963794.384 6855066.915, 3025783.891...
3 POLYGON ((3003050.282 5919220.443, 3003214.641...
4 POLYGON ((3110892.729 6760284.512, 3111042.621...
5 POLYGON ((2953064.51 6783525.133, 2960845.402 ...

In [81]:
trenesDeCarga.convex_hull.plot()
Out[81]:
<Axes: >
No description has been provided for this image
In [82]:
trenesDeCarga_hulls=trenesDeCarga.convex_hull.to_frame()
trenesDeCarga_hulls['fna']='Ferrocarril General San Martín Ramal SMB - Junin'
trenesDeCarga_hulls.rename(columns={0:'geometry'},inplace=True)
trenesDeCarga_hulls=trenesDeCarga_hulls.set_geometry('geometry')
trenesDeCarga_hulls.crs="EPSG:5343"
trenesDeCarga_hulls
Out[82]:
geometry fna
0 POLYGON ((3166810.984 5907281.017, 3166612.289... Ferrocarril General San Martín Ramal SMB - Junin
1 POLYGON ((3029107.645 6150749.166, 3025589.95 ... Ferrocarril General San Martín Ramal SMB - Junin
2 POLYGON ((2963794.384 6855066.915, 3025783.891... Ferrocarril General San Martín Ramal SMB - Junin
3 POLYGON ((3003050.282 5919220.443, 3003214.641... Ferrocarril General San Martín Ramal SMB - Junin
4 POLYGON ((3110892.729 6760284.512, 3111042.621... Ferrocarril General San Martín Ramal SMB - Junin
5 POLYGON ((2953064.51 6783525.133, 2960845.402 ... Ferrocarril General San Martín Ramal SMB - Junin
In [83]:
trenesDeCarga_hulls=trenesDeCarga_hulls.drop([0,1,2,3], axis=0)
In [84]:
trenesDeCarga_hulls
Out[84]:
geometry fna
4 POLYGON ((3110892.729 6760284.512, 3111042.621... Ferrocarril General San Martín Ramal SMB - Junin
5 POLYGON ((2953064.51 6783525.133, 2960845.402 ... Ferrocarril General San Martín Ramal SMB - Junin
In [85]:
trenesDeCarga_hulls.plot()
Out[85]:
<Axes: >
No description has been provided for this image
In [86]:
distanceMatrixKM_trenesCarga=trenesDeCarga_hulls.set_index('fna').geometry.apply\
(lambda g: powerplant.set_index('fna').geometry.distance(g)/1000).\
sort_index(axis=0).sort_index(axis=1)

distanceMatrixKM_trenesCarga
Out[86]:
fna Central Hidroelectrica Albardón Central Hidroeléctrica Los Caracoles Central Térmica El Portón Central Térmica Piedras Negras Estación Hidrológica Piedras Pintadas Usina Hidroeléctrica Don Claudio Tinto Usina Vitry
fna
Ferrocarril General San Martín Ramal SMB - Junin 1305.442566 1346.362731 1653.180621 1587.826452 1337.542551 1397.344314 1311.828349
Ferrocarril General San Martín Ramal SMB - Junin 1155.952616 1196.758041 1535.056370 1477.662466 1181.308155 1246.565887 1162.512607
In [87]:
mins=distanceMatrixKM_trenesCarga.idxmin(axis="columns")
mins
Out[87]:
0
fna
Ferrocarril General San Martín Ramal SMB - Junin Central Hidroelectrica Albardón
Ferrocarril General San Martín Ramal SMB - Junin Central Hidroelectrica Albardón

In [87]:
In [88]:
base=trenesDeCarga_hulls.explore()
powerplant[powerplant.fna.isin(mins)].explore(m=base,color='red',marker_kwds=dict(radius=10))
powerplant[~powerplant.fna.isin(mins)].explore(m=base,color='blue',marker_kwds=dict(radius=5))
Out[88]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Exercise 4¶

  1. Select a line map and a point one.

  2. Get the buffer for the lines, select a distance.

  3. Keep the points that are within the buffer (you might need to play with differn distances until you show something interesting.

In [89]:
distanceMatrixKM_2
Out[89]:
portName Bahia Blanca Buenos Aires Campana Colon Comodoro Rivadavia Concepcion Del Uruguay Concordia Diamante La Plata Mar Del Plata ... Rosario San Blas San Lorenzo San Nicolas San Pedro San Sebastian Bay Santa Fe Ushuaia Villa Constitucion Zarate
fna
Ferrocarril General San Martín Ramal SMB - Junin 626.226163 123.444233 89.868672 355.786962 1835.144247 319.618524 457.390154 343.236547 178.174291 510.321345 ... 229.806494 867.461510 258.218794 171.452081 137.373325 3039.285717 397.660848 3330.863637 186.028537 92.709593
Ferrocarril Nacional General Belgrano Ramal C3 1519.948463 993.230388 915.276687 714.805953 2669.513570 740.209654 630.811905 606.541616 1041.388462 1471.146803 ... 722.007947 1775.950161 694.691028 777.999724 818.893203 3913.302842 551.954230 4214.590763 763.261261 904.631951
Ferrocarril Nacional General Belgrano Ramal C6 1447.838923 929.805856 850.276781 659.377658 2597.628606 683.009686 580.704146 537.142508 979.376312 1405.966172 ... 652.204019 1703.917044 624.662478 709.267116 751.404906 3841.081440 482.633119 4142.298938 694.262586 839.473013
Ferrocarril Nacional General Belgrano Ramal F - Los Amores 1443.955561 862.105095 790.906985 565.657215 2620.994075 594.624812 473.117510 512.837071 905.223454 1343.211612 ... 627.593637 1696.760986 602.863091 674.655679 707.485119 3854.088971 460.103162 4151.774350 661.988224 781.046624
Ferrocarril Nacional General Belgrano Ramal F1 829.979647 350.552824 260.546501 297.869931 2020.403895 279.494453 349.058018 89.281776 411.773449 789.611527 ... 16.589651 1081.870112 0.754682 83.920102 139.816739 3243.929202 143.034148 3539.791691 66.622348 249.081705
Ferrocarril Nacional General San Martín Ramal SMC - Junin 598.521578 284.798422 225.434623 441.135373 1796.846885 408.833877 528.759739 334.146550 340.308636 606.895340 ... 219.189627 849.175534 244.058054 183.087935 181.383015 3014.070820 387.860092 3308.860630 191.059641 220.778437

6 rows × 36 columns

In [90]:
distanceMatrixKM_2.loc['Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].min()
Out[90]:
460.1031620099511
In [91]:
minMts=distanceMatrixKM_2.loc['Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].min()*100
trenesDeCarga[trenesDeCarga.fna=='Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].buffer(distance=minMts)
Out[91]:
0
4 POLYGON ((3073876.814 6809846.487, 3074504.225...

In [92]:
bufferAroundLosAmores=trenesDeCarga[trenesDeCarga.fna=='Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].buffer(distance=minMts)
bufferAsBase=bufferAroundLosAmores.explore(color='red')
trenesDeCarga[trenesDeCarga.fna=='Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].explore(m=bufferAsBase,color='blue', style_kwds={'weight':0.5})
Out[92]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [93]:
trenesDeCarga[trenesDeCarga.fna=='Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].explore(m=bufferAsBase,color='blue',style_kwds={'weight':0.5})
centrales_electricas.explore(m=bufferAsBase,color='black')
Out[93]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [94]:
centralesWithinBuffer=centrales_electricas.clip(mask=bufferAroundLosAmores)
centralesWithinBuffer

/usr/local/lib/python3.11/dist-packages/geopandas/geodataframe.py:2585: UserWarning: CRS mismatch between the CRS of left geometries and the CRS of right geometries.
Use `to_crs()` to reproject one of the input geometries to match the CRS of the other.

Left CRS: EPSG:5343
Right CRS: EPSG:5641

  return geopandas.clip(self, mask=mask, keep_geom_type=keep_geom_type, sort=sort)
Out[94]:
gid entidad objeto fna gna nam fun ppc sag fdc geometry
176 326 0.0 Central Eléctrica Central Térmica Oberá Central Térmica Oberá 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (3181452.055 6842283.504)
175 325 0.0 Central Eléctrica Central Térmica Aristóbulo del Valle Central Térmica Aristóbulo del Valle 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (3214548.023 6884991.742)
In [95]:
bufferAsBase=bufferAroundLosAmores.explore(color='red')
trenesDeCarga[trenesDeCarga.fna=='Ferrocarril Nacional General Belgrano Ramal F - Los Amores'].explore(m=bufferAsBase,color='blue',style_kwds={'weight':0.5})
centralesWithinBuffer.explore(m=bufferAsBase,color='black')
Out[95]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [96]:
distanceMatrixKM_2.min(axis=1).min()
Out[96]:
0.7546821248580667
In [97]:
minMinMts_5=5*distanceMatrixKM_2.min(axis=1).min()*1000
allMinBuffer=ferrovias.buffer(distance=minMinMts_5).explore(color='red')
ferrovias.explore(m=allMinBuffer,color='blue',style_kwds={'weight':0.5})
Out[97]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [98]:
ferroviasAll_buf=ferrovias.buffer(distance=minMinMts_5)
ferroviasAll_buf
Out[98]:
0
0 POLYGON ((2328552.854 7223436.267, 2328571.852...
1 POLYGON ((2530104.352 7240099.324, 2530473.552...
2 POLYGON ((2527202.24 7238115.973, 2527285.903 ...
3 POLYGON ((1996678.4 5318610.096, 1996631.647 5...
4 POLYGON ((2784545.741 5330932.741, 2784471.568...
... ...
1087 POLYGON ((2192692.145 6302116.771, 2192481.811...
1088 POLYGON ((2182852.825 6306322.965, 2183223.908...
1089 POLYGON ((2195182.968 6301764.493, 2194038.453...
1090 POLYGON ((2160412.63 6337944.487, 2160230.169 ...
1091 POLYGON ((2166661.386 6321712.001, 2165875.426...

1092 rows × 1 columns


In [99]:
allFerroviasWithinBuffs=centrales_electricas.clip(ferroviasAll_buf)
allFerroviasWithinBuffs

/usr/local/lib/python3.11/dist-packages/geopandas/geodataframe.py:2585: UserWarning: CRS mismatch between the CRS of left geometries and the CRS of right geometries.
Use `to_crs()` to reproject one of the input geometries to match the CRS of the other.

Left CRS: EPSG:5343
Right CRS: EPSG:5641

  return geopandas.clip(self, mask=mask, keep_geom_type=keep_geom_type, sort=sort)
Out[99]:
gid entidad objeto fna gna nam fun ppc sag fdc geometry
267 516 0.0 Central Eléctrica Central Térmica Villa Gesell Central Térmica Villa Gesell 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (2834987.551 5770646.358)
146 237 0.0 Central Eléctrica Central Térmica Ensenada de Barragán Central Térmica Ensenada de Barragán 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (2789038.056 6051646.194)
230 429 0.0 Central Eléctrica Central Térmica Paraná Central Térmica Paraná 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (2596881.503 6426137.254)
420 884 0.0 Central Eléctrica Central Térmica Mburucuyá Central Térmica Mburucuyá 6.0 7.0 IGN Secretaría de Energía de la Nación POINT (2861338.655 6820706.464)
418 882 0.0 Central Eléctrica Central Térmica Palmar Grande Central Térmica Palmar Grande 6.0 7.0 IGN Secretaría de Energía de la Nación POINT (2895454.25 6828398.1)
415 879 0.0 Central Eléctrica Central Térmica Loreto Central Térmica Loreto 6.0 7.0 IGN Secretaría de Energía de la Nación POINT (2960320.74 6840353.579)
187 344 0.0 Central Eléctrica Central Térmica Corrientes Central Térmica Corrientes 6.0 7.0 IGN IGN/Secretaría de Gobierno de Energía POINT (2810958.722 6891647.153)
377 835 0.0 Central Eléctrica Central Térmica Arroyo Verde Central Térmica Arroyo Verde 6.0 7.0 IGN Secretaría de Energía de la Nación POINT (2055763.405 5328971.738)
123 187 0.0 Central Eléctrica Central Hidroeléctrica Urugua-í Central Hidroeléctrica Urugua-í 6.0 1.0 IGN IGN/Secretaría de Gobierno de Energía POINT (3263862.61 7019242.359)
In [100]:
base=ferroviasAll_buf.explore(color='yellow')
allFerroviasWithinBuffs.explore(m=base,color='green')
Out[100]:
Make this Notebook Trusted to load map: File -> Trust Notebook