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Extract Markdown headers to separate cell for better collapsing
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modules/06-geojupyter/demo.ipynb

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},
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{
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"cell_type": "markdown",
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"id": "6a1dcd59-5bd5-4e1a-93d3-8e0850aacc9e",
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"id": "5e524b05-f463-4727-b212-93bf1450930e",
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"metadata": {},
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"source": [
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"## Outline"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7abd406b-717c-4c46-a821-21788826f655",
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"metadata": {},
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"source": [
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"## Outline\n",
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"\n",
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"* Aggregate gridded data based on vector regions (e.g. neighborhoods)\n",
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" * Not straightforward to do in Python\n",
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" * Design:\n",
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" * Start in a Notebook, prepared with Maryam’s expertise\n",
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" * Loading GeoPandas, tools for Zonal Statistics\n",
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" * Programmatically create .jGIS document, add input data sources and output data sources.\n",
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" * Demonstrate collaboration of JGIS alongside Notebook. Annotation, ad layer from catalog, etc."
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"* Design:\n",
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" * Start in a Notebook, prepared with Maryam’s expertise\n",
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" * Loading GeoPandas, tools for Zonal Statistics\n",
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" * Programmatically create .jGIS document, add input data sources and output data sources.\n",
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" * Demonstrate collaboration of JGIS alongside Notebook. Annotation, ad layer from catalog, etc."
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]
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},
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{
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"cell_type": "markdown",
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"id": "941c869f-4726-4363-ac71-95440a475386",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## From geopythontutorials.com"
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]
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},
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{
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"id": "0b259e2b-0758-430d-ba4e-d48184395473",
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"metadata": {},
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"source": [
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"## From geopythontutorials.com\n",
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"\n",
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"https://www.geopythontutorials.com/notebooks/xarray_zonal_stats.html?utm_source=chatgpt.com\n",
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"\n",
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"New dependencies\n",
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{
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"cell_type": "markdown",
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"id": "8d63cc59-78cd-4639-9c96-f6ac3e0dd208",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## From Carl's class"
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]
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"\n",
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"https://espm-288.carlboettiger.info/tutorials/python/spatial-4.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a169692a-2674-4c4e-ab88-50ba908083d2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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