|
107 | 107 | "name": "stderr", |
108 | 108 | "output_type": "stream", |
109 | 109 | "text": [ |
110 | | - "/tmp/ipykernel_1388781/2382517456.py:28: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 110 | + "/tmp/ipykernel_1300336/2382517456.py:28: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
111 | 111 | "\n", |
112 | 112 | " centroids = MPA_gdf.geometry.centroid\n" |
113 | 113 | ] |
|
180 | 180 | "name": "stderr", |
181 | 181 | "output_type": "stream", |
182 | 182 | "text": [ |
183 | | - "/tmp/ipykernel_1388781/2745063062.py:8: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 183 | + "/tmp/ipykernel_1300336/2745063062.py:8: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
184 | 184 | "\n", |
185 | 185 | " mpa_centroids = mpa_df_OND.geometry.centroid\n" |
186 | 186 | ] |
|
526 | 526 | }, |
527 | 527 | { |
528 | 528 | "cell_type": "code", |
529 | | - "execution_count": 6, |
| 529 | + "execution_count": 4, |
530 | 530 | "id": "c1b48f57", |
531 | 531 | "metadata": {}, |
532 | 532 | "outputs": [ |
533 | 533 | { |
534 | 534 | "name": "stderr", |
535 | 535 | "output_type": "stream", |
536 | 536 | "text": [ |
537 | | - "/tmp/ipykernel_1388781/1268887629.py:5: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 537 | + "/tmp/ipykernel_1300336/1268887629.py:5: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
538 | 538 | "\n", |
539 | 539 | " mpa_centroids = mpa_df_OND.geometry.centroid\n" |
540 | 540 | ] |
|
659 | 659 | }, |
660 | 660 | { |
661 | 661 | "cell_type": "code", |
662 | | - "execution_count": 8, |
| 662 | + "execution_count": 5, |
663 | 663 | "id": "dc507f91", |
664 | 664 | "metadata": {}, |
665 | 665 | "outputs": [ |
|
738 | 738 | }, |
739 | 739 | { |
740 | 740 | "cell_type": "code", |
741 | | - "execution_count": 9, |
| 741 | + "execution_count": 6, |
742 | 742 | "id": "771aa11d", |
743 | 743 | "metadata": {}, |
744 | 744 | "outputs": [ |
|
764 | 764 | }, |
765 | 765 | { |
766 | 766 | "cell_type": "code", |
767 | | - "execution_count": 10, |
| 767 | + "execution_count": 7, |
768 | 768 | "id": "9b7ed61c", |
769 | 769 | "metadata": {}, |
770 | 770 | "outputs": [ |
|
800 | 800 | }, |
801 | 801 | { |
802 | 802 | "cell_type": "code", |
803 | | - "execution_count": 11, |
| 803 | + "execution_count": 8, |
804 | 804 | "id": "8952c0ce", |
805 | 805 | "metadata": {}, |
806 | 806 | "outputs": [ |
807 | 807 | { |
808 | 808 | "name": "stderr", |
809 | 809 | "output_type": "stream", |
810 | 810 | "text": [ |
811 | | - "/tmp/ipykernel_1388781/3299826575.py:3: FutureWarning: The behavior of DataFrame.idxmax with all-NA values, or any-NA and skipna=False, is deprecated. In a future version this will raise ValueError\n", |
| 811 | + "/tmp/ipykernel_1300336/3299826575.py:3: FutureWarning: The behavior of DataFrame.idxmax with all-NA values, or any-NA and skipna=False, is deprecated. In a future version this will raise ValueError\n", |
812 | 812 | " ].idxmax(axis=1)\n" |
813 | 813 | ] |
814 | 814 | } |
|
901 | 901 | }, |
902 | 902 | { |
903 | 903 | "cell_type": "code", |
904 | | - "execution_count": 13, |
| 904 | + "execution_count": 9, |
905 | 905 | "id": "539ebc83", |
906 | 906 | "metadata": {}, |
907 | 907 | "outputs": [ |
|
928 | 928 | }, |
929 | 929 | { |
930 | 930 | "cell_type": "code", |
931 | | - "execution_count": 14, |
| 931 | + "execution_count": 10, |
932 | 932 | "id": "d45ef39f", |
933 | 933 | "metadata": {}, |
934 | 934 | "outputs": [ |
935 | 935 | { |
936 | 936 | "name": "stderr", |
937 | 937 | "output_type": "stream", |
938 | 938 | "text": [ |
939 | | - "/tmp/ipykernel_1388781/3832957269.py:37: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 939 | + "/tmp/ipykernel_1300336/3832957269.py:37: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
940 | 940 | "\n", |
941 | 941 | " mpa_extreme_points_99['geometry'] = mpa_extreme_points_99.geometry.centroid\n", |
942 | | - "/tmp/ipykernel_1388781/3832957269.py:40: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 942 | + "/tmp/ipykernel_1300336/3832957269.py:40: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
943 | 943 | "\n", |
944 | 944 | " mpa_extreme_points_1['geometry'] = mpa_extreme_points_1.geometry.centroid\n", |
945 | | - "/tmp/ipykernel_1388781/3832957269.py:42: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 945 | + "/tmp/ipykernel_1300336/3832957269.py:42: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
946 | 946 | "\n", |
947 | 947 | " mpa_max_hotspot_points['geometry'] = mpa_max_hotspot_points.geometry.centroid\n" |
948 | 948 | ] |
|
1084 | 1084 | }, |
1085 | 1085 | { |
1086 | 1086 | "cell_type": "code", |
1087 | | - "execution_count": 15, |
| 1087 | + "execution_count": 11, |
1088 | 1088 | "id": "0d5f8e11", |
1089 | 1089 | "metadata": {}, |
1090 | 1090 | "outputs": [ |
|
1197 | 1197 | }, |
1198 | 1198 | { |
1199 | 1199 | "cell_type": "code", |
1200 | | - "execution_count": 26, |
| 1200 | + "execution_count": 12, |
1201 | 1201 | "id": "43372874", |
1202 | 1202 | "metadata": {}, |
1203 | 1203 | "outputs": [ |
1204 | 1204 | { |
1205 | 1205 | "name": "stderr", |
1206 | 1206 | "output_type": "stream", |
1207 | 1207 | "text": [ |
1208 | | - "/tmp/ipykernel_1369444/1496708210.py:36: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 1208 | + "/tmp/ipykernel_1300336/1496708210.py:36: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
1209 | 1209 | "\n", |
1210 | 1210 | " mpa_extreme_points_99['geometry'] = mpa_extreme_points_99.geometry.centroid\n", |
1211 | | - "/tmp/ipykernel_1369444/1496708210.py:39: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 1211 | + "/tmp/ipykernel_1300336/1496708210.py:39: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
1212 | 1212 | "\n", |
1213 | 1213 | " mpa_extreme_points_1['geometry'] = mpa_extreme_points_1.geometry.centroid\n", |
1214 | | - "/tmp/ipykernel_1369444/1496708210.py:42: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
| 1214 | + "/tmp/ipykernel_1300336/1496708210.py:42: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", |
1215 | 1215 | "\n", |
1216 | 1216 | " mpa_max_hotspot_points['geometry'] = mpa_max_hotspot_points.geometry.centroid\n" |
1217 | 1217 | ] |
|
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