Merge pull request #2061 from Esri/updating-item-ids

update item ids and urls in samples
Esri · Sep 23, 2024 · d5bdebd · d5bdebd
2 parents be229f5 + 7b9a4f5
commit d5bdebd
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Showing 25 changed files with 258 additions and 236 deletions.
diff --git a/...ith-the-spatially-enabled-dataframe/introduction-to-the-spatially-enabled-dataframe.ipynb b/...ith-the-spatially-enabled-dataframe/introduction-to-the-spatially-enabled-dataframe.ipynb
diff --git a/guide/05-working-with-the-spatially-enabled-dataframe/part2_data_io_reading_data.ipynb b/guide/05-working-with-the-spatially-enabled-dataframe/part2_data_io_reading_data.ipynb
diff --git a/guide/05-working-with-the-spatially-enabled-dataframe/part3_data_io_writing_data.ipynb b/guide/05-working-with-the-spatially-enabled-dataframe/part3_data_io_writing_data.ipynb
diff --git a/...ng-with-the-spatially-enabled-dataframe/spatially-enabled-dataframe-advanced-topics.ipynb b/...ng-with-the-spatially-enabled-dataframe/spatially-enabled-dataframe-advanced-topics.ipynb
diff --git a/...e-spatially-enabled-dataframe/visualizing-data-with-the-spatially-enabled-dataframe.ipynb b/...e-spatially-enabled-dataframe/visualizing-data-with-the-spatially-enabled-dataframe.ipynb
diff --git a/guide/06-imagery-and-raster-analysis/image_classfication_and_segmentation.ipynb b/guide/06-imagery-and-raster-analysis/image_classfication_and_segmentation.ipynb
@@ -516,13 +516,13 @@
       "text/html": [
        "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
        "                    <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
-       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=2dde2215c7c84c15bd9cb4d9d92fc7b6' target='_blank'>\n",
+       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=79ee8e5a8fe546f4a4ea869eebb375be' target='_blank'>\n",
        "                        <img src='https://pythonapi.playground.esri.com/portal/portalimages/desktopapp.png' class=\"itemThumbnail\">\n",
        "                       </a>\n",
        "                    </div>\n",
        "\n",
        "                    <div class=\"item_right\"     style=\"float: none; width: auto; overflow: hidden;\">\n",
-       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=2dde2215c7c84c15bd9cb4d9d92fc7b6' target='_blank'><b>landsat_pviot_345_8bit</b>\n",
+       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=79ee8e5a8fe546f4a4ea869eebb375be' target='_blank'><b>landsat_pviot_345_8bit</b>\n",
        "                        </a>\n",
        "                        <br/>segment<img src='https://pythonapi.playground.esri.com/portal/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\">Imagery Layer by api_data_owner\n",
        "                        <br/>Last Modified: August 08, 2019\n",

diff --git a/guide/06-imagery-and-raster-analysis/using-raster-analysis.ipynb b/guide/06-imagery-and-raster-analysis/using-raster-analysis.ipynb
@@ -151,7 +151,7 @@
     }
    ],
    "source": [
-    "montana_landsat = portal.content.search(\"ImgSrv_Landast_Montana2015\")[0].layers[0]\n",
+    "montana_landsat = portal.content.search(\"ImgSrv_Landsat_Montana_2015\")[0].layers[0]\n",
     "montana_landsat"
    ]
   },

diff --git a/guide/10-mapping-and-visualization/part3_visualizing_spatial_data_on_the_map_widget.ipynb b/guide/10-mapping-and-visualization/part3_visualizing_spatial_data_on_the_map_widget.ipynb
diff --git a/guide/10-mapping-and-visualization/part5_saving_updating_and_embedding_map_widget.ipynb b/guide/10-mapping-and-visualization/part5_saving_updating_and_embedding_map_widget.ipynb
diff --git a/land_parcel_extraction_using_edge_detection_deep_learning_model.ipynb b/land_parcel_extraction_using_edge_detection_deep_learning_model.ipynb
@@ -122,7 +122,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "training_area_raster = gis.content.get('8202ffe4fcaf4ba9bfefe2154f98e7b8')\n",
+    "training_area_raster = gis.content.get('4f9d56b58e354aac9ed043355a4fa870')\n",
     "training_area_raster"
    ]
   },
@@ -1154,7 +1154,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "test_area_raster = gis.content.get('481f2ba520274f0fabfe470d2c8def39')\n",
+    "test_area_raster = gis.content.get('ed2951a19296485d9334460f343c5a0c')\n",
     "test_area_raster"
    ]
   },

diff --git a/...04_gis_analysts_data_scientists/calculate_impervious_surfaces_from_spectral_imagery.ipynb b/...04_gis_analysts_data_scientists/calculate_impervious_surfaces_from_spectral_imagery.ipynb
@@ -118,13 +118,13 @@
       "text/html": [
        "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
        "                    <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
-       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=eb9fe459cc26486eb4a733b2a2def44f' target='_blank'>\n",
+       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=5cfa05015d2c43b4a00da529eb0e5411' target='_blank'>\n",
        "                        <img src='https://pythonapi.playground.esri.com/portal/portalimages/desktopapp.png' class=\"itemThumbnail\">\n",
        "                       </a>\n",
        "                    </div>\n",
        "\n",
        "                    <div class=\"item_right\"     style=\"float: none; width: auto; overflow: hidden;\">\n",
-       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=eb9fe459cc26486eb4a733b2a2def44f' target='_blank'><b>RFT_Reclassify_RasterFunction</b>\n",
+       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=5cfa05015d2c43b4a00da529eb0e5411' target='_blank'><b>RFT_Reclassify_RasterFunction</b>\n",
        "                        </a>\n",
        "                        <br/>RFT_Reclassify_RasterFunction<img src='https://pythonapi.playground.esri.com/portal/home/js/jsapi/esri/css/images/item_type_icons/layers16.png' style=\"vertical-align:middle;\">Raster function template by api_data_owner\n",
        "                        <br/>Last Modified: June 07, 2021\n",
@@ -143,7 +143,7 @@
     }
    ],
    "source": [
-    "rft_to_reclassify = gis.content.get('eb9fe459cc26486eb4a733b2a2def44f')\n",
+    "rft_to_reclassify = gis.content.get('5cfa05015d2c43b4a00da529eb0e5411')\n",
     "rft_to_reclassify"
    ]
   },
@@ -157,13 +157,13 @@
       "text/html": [
        "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
        "                    <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
-       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=7e00802c927a40cbbdc36cefdb2928e4' target='_blank'>\n",
+       "                       <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=b6ea95a68bdd415f85296fefa2eeef6c' target='_blank'>\n",
        "                        <img src='https://pythonapi.playground.esri.com/portal/portalimages/desktopapp.png' class=\"itemThumbnail\">\n",
        "                       </a>\n",
        "                    </div>\n",
        "\n",
        "                    <div class=\"item_right\"     style=\"float: none; width: auto; overflow: hidden;\">\n",
-       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=7e00802c927a40cbbdc36cefdb2928e4' target='_blank'><b>Land Cover of Kent County Delaware</b>\n",
+       "                        <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=b6ea95a68bdd415f85296fefa2eeef6c' target='_blank'><b>Land Cover of Kent County Delaware</b>\n",
        "                        </a>\n",
        "                        <br/>KENT_10001_us8bit_tif<img src='https://pythonapi.playground.esri.com/portal/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\">Imagery Layer by api_data_owner\n",
        "                        <br/>Last Modified: June 08, 2021\n",
@@ -182,7 +182,7 @@
     }
    ],
    "source": [
-    "classified_raster = gis.content.get('7e00802c927a40cbbdc36cefdb2928e4')\n",
+    "classified_raster = gis.content.get('b6ea95a68bdd415f85296fefa2eeef6c')\n",
     "classified_raster"
    ]
   },

diff --git a/samples/04_gis_analysts_data_scientists/calculate_post_fire_landslide_risk.ipynb b/samples/04_gis_analysts_data_scientists/calculate_post_fire_landslide_risk.ipynb
@@ -917,7 +917,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0"
+   "version": "3.11.8"
   },
   "toc": {
    "base_numbering": 1,

diff --git a/...ts_data_scientists/detecting_swimming_pools_using_satellite_image_and_deep_learning.ipynb b/...ts_data_scientists/detecting_swimming_pools_using_satellite_image_and_deep_learning.ipynb
diff --git a/..._scientists/extracting_features_and_land_use_land_cover_using_panoptic_segmentation.ipynb b/..._scientists/extracting_features_and_land_use_land_cover_using_panoptic_segmentation.ipynb
diff --git a/...ts_data_scientists/feature_categorization_using_satellite_imagery_and_deep_learning.ipynb b/...ts_data_scientists/feature_categorization_using_satellite_imagery_and_deep_learning.ipynb
diff --git a/..._analysts_data_scientists/flood_inundation_mapping_using_sar_data_and_deep_learning.ipynb b/..._analysts_data_scientists/flood_inundation_mapping_using_sar_data_and_deep_learning.ipynb
@@ -1619,7 +1619,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "raster_for_inferencing = gis.content.get('c6abe978dc854c20bf0664f6f7b43290')\n",
+    "raster_for_inferencing = gis.content.get('05a5c9ffd2044d2583ec1ae2a5712d54')\n",
     "raster_for_inferencing"
    ]
   },

diff --git a/...sts_data_scientists/generating_rgb_imagery_from_digital_surface_model_using_pix2pix.ipynb b/...sts_data_scientists/generating_rgb_imagery_from_digital_surface_model_using_pix2pix.ipynb
diff --git a/samples/04_gis_analysts_data_scientists/land_cover_classification_using_unet.ipynb b/samples/04_gis_analysts_data_scientists/land_cover_classification_using_unet.ipynb
diff --git a/...a_scientists/landcover_classification_using_hyperspectral_imagery_and_deep_learning.ipynb b/...a_scientists/landcover_classification_using_hyperspectral_imagery_and_deep_learning.ipynb