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Update spatial file examples in Getting Started 2 notebook #86

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5 changes: 1 addition & 4 deletions Getting_Started/Part_2_Reading_Spatial_Files.ipynb
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Expand Up @@ -92,7 +92,6 @@
"\n",
"- GeoParquet from an S3 bucket\n",
"- GeoJSON from the notebook's local file storage\n",
"- Shapefile\n",
"- A CSV file with latitude and longitude stored in two columns\n",
"\n",
"In all these examples, we are loading the data into an Apache Spark DataFrame."
Expand Down Expand Up @@ -175,15 +174,13 @@
"source": [
"Let's break those calls down.\n",
"\n",
"**GeoParquet**: The Wherobots [Spatial Catalog](https://cloud.wherobots.com/spatial-catalog) hosts datasets stored in S3 buckets. \n",
"**GeoParquet**: The Wherobots [Data Hub](https://cloud.wherobots.com/data-hub) hosts datasets stored in S3 buckets. \n",
"\n",
"- `format(\"geoparquet\")` → Specifies that we are reading a GeoParquet file.\n",
"- `load(\"s3a://...\")` → Loads the dataset directly from S3 without downloading it locally.\n",
"\n",
"**GeoJSON** is often used for web-based mapping applications. GeoJSON data is often hierarchical, so it's often useful to pull those fields from inside a struct and make them columns of their own.\n",
"\n",
"**Shapefiles** consist of multiple files (`.shp`, `.dbf`, `.shx`), so we load the directory containing them.\n",
"\n",
"**CSV** cannot store binary fields like geometries, so spatial data often needs to be converted so we can use WherobotsDB's spatial query functions.\n",
"\n",
"- `option(\"header\", \"true\")` → Reads the first line as column names.\n",
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