|
1427 | 1427 | "from climada.engine import ImpactCalc\n", |
1428 | 1428 | "\n", |
1429 | 1429 | "# Set Exposures in points\n", |
1430 | | - "latitude = np.array(\n", |
1431 | | - " [21.899326, 21.960728, 22.220574, 22.298390, 21.787977, 21.981732]\n", |
1432 | | - ")\n", |
1433 | | - "longitude = np.array(\n", |
1434 | | - " [88.307422, 88.565362, 88.378337, 87.806356, 88.348835, 89.246521]\n", |
1435 | | - ")\n", |
| 1430 | + "latitude = np.array([21.899326, 21.960728, 22.220574, 22.298390, 21.787977, 21.981732])\n", |
| 1431 | + "longitude = np.array([88.307422, 88.565362, 88.378337, 87.806356, 88.348835, 89.246521])\n", |
1436 | 1432 | "\n", |
1437 | 1433 | "values = np.array([1.0e5, 1.2e5, 1.1e5, 2.0e5, 2.5e5, 0.5e5])\n", |
1438 | 1434 | "\n", |
1439 | 1435 | "exp_pnt = Exposures(\n", |
1440 | | - " lat=latitude, \n", |
1441 | | - " lon=longitude, \n", |
1442 | | - " value=values,\n", |
1443 | | - " value_unit=\"USD\",\n", |
1444 | | - " crs=\"epsg:4326\")\n", |
| 1436 | + " lat=latitude, lon=longitude, value=values, value_unit=\"USD\", crs=\"epsg:4326\"\n", |
| 1437 | + ")\n", |
1445 | 1438 | "\n", |
1446 | 1439 | "# plot exposures\n", |
1447 | 1440 | "exp_pnt.plot_scatter(buffer=0.05)\n", |
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