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Merge pull request #1805 from jyaistMap/jy-upd-samples-mdata
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Update online samples and align metadata with file names
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jyaistMap committed Apr 18, 2024
2 parents 81b465d + 03b64a4 commit 543de58
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12 changes: 6 additions & 6 deletions items_metadata.yaml
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# tags: ["Data Science", "GIS", "Thomas Fire", "California"]
- title: Chennai Floods 2015 - A Geographic Analysis
url: https://www.arcgis.com/home/item.html?id=44c4fc1e56654768840a03971feb1e77
path: ./samples/04_gis_analysts_data_scientists/chennai_floods_analysis.ipynb
path: ./samples/04_gis_analysts_data_scientists/chennai_floods_analysis_rn.ipynb
thumbnail: ./static/thumbnails/chennai_floods_analysis.jpg
snippet: Analyze the rainfall in Chennai, India
description: This sample showcases not just the analysis and visualization capabilities of your GIS, but also the ability to store illustrative text, graphics and live code in a Jupyter notebook.
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# description: Use the ArcGIS API for Python to answer if wildfires are increasing over time.
# licenseInfo: ""
# tags: ["Data Science", "GIS", "Wildfire"]
- title: How much green is Delhi as on 15 Oct 2017?
- title: How much green is Delhi as on 21 Oct 20122?
url: https://www.arcgis.com/home/item.html?id=8094be16f34e46e48880883a1ae6a4f1
path: ./samples/04_gis_analysts_data_scientists/how-much-green-is-Delhi-as-on-15-oct-2017.ipynb
path: ./samples/04_gis_analysts_data_scientists/how-much-green-is-Delhi-as-on-21-oct-2022.ipynb
thumbnail: ./static/thumbnails/how-much-green-is-Delhi-as-on-15-oct-2017.jpg
snippet: Use Landsat 8 imagery to detect green cover of New Delhi, India
description: This sample shows the capabilities of spectral indices such as Normalized Difference Vegetation index (NDVI) for the calculation of green cover in Delhi, India on 15 October 2017 using Landsat 8 imagery.
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tags: ['Data Science', 'GIS', "Geometry"]
- title: Using Geoprocessing Tools
url: https://www.arcgis.com/home/item.html?id=5a5839d87b4645e685bcd46d79995358
path: ./samples/02_power_users_developers/using_geoprocessing_tools.ipynb
path: ./samples/02_power_users_developers/using_geoprocessing_tools_rn.ipynb
thumbnail: ./static/thumbnails/using_geoprocessing_tools.png
snippet: using geoprocessing tools
description: The analysis below uses a geoprocessing tool to deduce the path that the debris of a crashed airplane would take if it went down at different places in the ocean.
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licenseInfo: ""
runtime: advanced_gpu
tags: ["Data Science", "GIS", "Hyperspectral", "Deep Learning"]
- title: Streams Extraction using MultiTaskRoadExtractor
- title: Streams Extraction using Deep Learning
url: https://www.arcgis.com/home/item.html?id=356899f6baad407b9db49bb526073ee1
path: ./samples/04_gis_analysts_data_scientists/streams_extraction_using_multi_task_road_extractor.ipynb
path: ./samples/04_gis_analysts_data_scientists/streams_extraction_using_deeplearning.ipynb
thumbnail: ./static/thumbnails/default.png
snippet: The aim of this notebook is to make use of arcgis.learn MultiTaskRoadExtractor model to extract streams.
description: The aim of this notebook is to make use of arcgis.learn MultiTaskRoadExtractor model to extract streams.
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2 changes: 1 addition & 1 deletion labs/create_data.ipynb
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/display_web_scene.ipynb
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/download_data.ipynb
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/find_places.ipynb
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/import_data.ipynb
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/load_item_by_id.ipynb
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/load_spatial_data_frame.ipynb
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/search_and_geocode.ipynb
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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2 changes: 1 addition & 1 deletion labs/share_your_content.ipynb
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3",
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"extensions": {
"jupyter_dashboards": {
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"extensions": {
"jupyter_dashboards": {
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171 changes: 170 additions & 1 deletion samples/02_power_users_developers/using_geometry_functions.ipynb

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1,144 changes: 1,143 additions & 1 deletion samples/04_gis_analysts_data_scientists/analyze_new_york_city_taxi_data.ipynb

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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
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"metadata": {
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
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"anaconda-cloud": {},
"esriNotebookRuntime": {
"notebookRuntimeName": "ArcGIS Notebook Python 3 Standard",
"notebookRuntimeVersion": "5.0"
"notebookRuntimeVersion": "9.0"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
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