In spatial-tutorial, removed old Instruqt tutorial link and updated version of image links. (#19867)

Author: florence-crl

src/current/v23.1/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.

src/current/v23.2/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.

src/current/v24.1/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.

src/current/v24.2/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.

src/current/v24.3/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.
@@ -162,7 +158,7 @@ FROM
 
 Paste the result above into <https://geojson.io> and you should see the following map, with gray markers for each loon sighting from the bird survey.
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-01.png' | relative_url }}" alt="Common Loon sightings in the years 2000-2019 in NY state" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/query-01.png' | relative_url }}" alt="Common Loon sightings in the years 2000-2019 in NY state" style="max-width:100%" />
 
 ### (2) What is the total area of Loon sightings?
 
@@ -565,7 +561,7 @@ WHERE
 
 Paste the result above into <https://geojson.io> and you should see the following map:
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-09.png' | relative_url }}" alt="Convex hull of bookstore locations within Common Loon habitat" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/query-09.png' | relative_url }}" alt="Convex hull of bookstore locations within Common Loon habitat" style="max-width:100%" />
 
 ### (10) What is the area of the shape of all bookstore locations that are in the Loon's habitat range within NY state?
 
@@ -706,7 +702,7 @@ The result is a very large chunk of JSON:
 
 Paste the result above into <https://geojson.io> and you should see the following map:
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-12.png' | relative_url }}" alt="What does the route from Mysteries on Main Street in Johnstown, NY to The Book Nook in Saranac Lake, NY look like?" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/query-12.png' | relative_url }}" alt="What does the route from Mysteries on Main Street in Johnstown, NY to The Book Nook in Saranac Lake, NY look like?" style="max-width:100%" />
 
 ### (13) What were the 25 most-commonly-sighted birds in 2019 within 10 miles of the route between Mysteries on Main Street in Johnstown, NY and The Bookstore Plus in Lake Placid, NY?
 
@@ -1691,7 +1687,7 @@ The `tutorial` database contains the following tables:
 
 Below is an entity-relationship diagram showing the `bookstores` and `bookstore_routes` tables (generated using [DBeaver]({% link {{ page.version.version }}/dbeaver.md %})):
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-bookstores.png' | relative_url }}" alt="tutorial.bookstores and tutorial.bookstore_routes ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/er-bookstores.png' | relative_url }}" alt="tutorial.bookstores and tutorial.bookstore_routes ER diagrams" style="max-width:100%" />
 
 As mentioned above, the `bookstores` table was created by scraping web data from the [American Booksellers Association website's member directory](https://bookweb.org/member_directory/search/ABAmember). In addition, the `geom` column was constructed by doing some [address geocoding](https://wikipedia.org/wiki/Address_geocoding) that converted each bookstore's address to a lon/lat pair and converted to a spatial object using `ST_MakePoint`. For each bookstore, the script did a bit of parsing and geocoding and ran essentially the following query:
 
@@ -1755,7 +1751,7 @@ There are multiple ways to do geocoding. You can use REST API-based services or
 
 Meanwhile, the `roads` table has many columns; the most important ones used in this tutorial are `state`, `geom`, `miles`, and `prime_name` (the human-readable name of the road).
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-roads.png' | relative_url }}" alt="tutorial.roads ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/er-roads.png' | relative_url }}" alt="tutorial.roads ER diagrams" style="max-width:100%" />
 
 For more information about what the other columns in `roads` mean, see the [full data set description](https://www.sciencebase.gov/catalog/file/get/581d052be4b08da350d524ce?f=__disk__60%2F6b%2F4e%2F606b4e564884da8cca57ffeb229cd817006616e0&transform=1&allowOpen=true).
 
@@ -1773,7 +1769,7 @@ The tables in the `birds` database are diagrammed below:
 - `routes` is a list of ~130 prescribed locations that the birdwatchers helping with the survey visit each year. The `geom` associated with each route is a [Point]({% link {{ page.version.version }}/point.md %}) marking the latitude and longitude of the route's starting point. For details, see the [schema](https://www.sciencebase.gov/catalog/file/get/5ea04e9a82cefae35a129d65?f=__disk__b4%2F2f%2Fcf%2Fb42fcfe28a799db6e8c97200829ea1ebaccbf8ea&transform=1&allowOpen=true) (search for the text "routes.csv").
 - `observations` describes the ~85,000 times and places in which birds of various species were actually seen. The `bird_id` is a [foreign key]({% link {{ page.version.version }}/foreign-key.md %}) to the ID in the `birds` table, and the `route_id` points to the ID of the `routes` table.
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-birds.png' | relative_url }}" alt="birds.birds, birds.routes, and birds.observations ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v24.3/geospatial/tutorial/er-birds.png' | relative_url }}" alt="birds.birds, birds.routes, and birds.observations ER diagrams" style="max-width:100%" />
 
 Each of these tables were populated using a script that parsed [the CSV files available for download](https://www.sciencebase.gov/catalog/item/52b1dfa8e4b0d9b325230cd9) and added the data using [`INSERT`]({% link {{ page.version.version }}/insert.md %}) statements. For the `routes` table, once again the `ST_MakePoint` function was used to create a geometry from the lon/lat values in the CSV as follows:
 

src/current/v25.1/spatial-tutorial.md

@@ -15,10 +15,6 @@ In this tutorial, you will plan a vacation from New York City to the [Adirondack
 + Performing [joins]({% link {{ page.version.version }}/joins.md %}) on spatial data, and using [`EXPLAIN`]({% link {{ page.version.version }}/explain.md %}) to make sure indexes are effective.
 + Visualizing the output of your queries using free tools like <https://geojson.io>
 
-<div class="clearfix">
-  <a class="btn btn-outline-primary" href="https://www.cockroachlabs.com/docs/tutorials/demo-spatial-tutorial-interactive" target="_blank" rel="noopener">Run this in your browser &rarr;</a>
-</div>
-
 ## Step 1. Review the scenario
 
 You live in New York City and are an avid birdwatcher and reader of books. You are going on a vacation up to the [Adirondack Mountains](https://visitadirondacks.com/about) in northern New York State. Although you are interested in many bird species, you are most interested in seeing (and [hearing](https://macaulaylibrary.org/asset/107964)) the <a href="https://ebird.org/species/comloo" data-proofer-ignore>Common Loon</a>, a bird that can be found near the lakes and ponds of the north woods.
@@ -162,7 +158,7 @@ FROM
 
 Paste the result above into <https://geojson.io> and you should see the following map, with gray markers for each loon sighting from the bird survey.
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-01.png' | relative_url }}" alt="Common Loon sightings in the years 2000-2019 in NY state" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/query-01.png' | relative_url }}" alt="Common Loon sightings in the years 2000-2019 in NY state" style="max-width:100%" />
 
 ### (2) What is the total area of Loon sightings?
 
@@ -565,7 +561,7 @@ WHERE
 
 Paste the result above into <https://geojson.io> and you should see the following map:
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-09.png' | relative_url }}" alt="Convex hull of bookstore locations within Common Loon habitat" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/query-09.png' | relative_url }}" alt="Convex hull of bookstore locations within Common Loon habitat" style="max-width:100%" />
 
 ### (10) What is the area of the shape of all bookstore locations that are in the Loon's habitat range within NY state?
 
@@ -706,7 +702,7 @@ The result is a very large chunk of JSON:
 
 Paste the result above into <https://geojson.io> and you should see the following map:
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/query-12.png' | relative_url }}" alt="What does the route from Mysteries on Main Street in Johnstown, NY to The Book Nook in Saranac Lake, NY look like?" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/query-12.png' | relative_url }}" alt="What does the route from Mysteries on Main Street in Johnstown, NY to The Book Nook in Saranac Lake, NY look like?" style="max-width:100%" />
 
 ### (13) What were the 25 most-commonly-sighted birds in 2019 within 10 miles of the route between Mysteries on Main Street in Johnstown, NY and The Bookstore Plus in Lake Placid, NY?
 
@@ -1691,7 +1687,7 @@ The `tutorial` database contains the following tables:
 
 Below is an entity-relationship diagram showing the `bookstores` and `bookstore_routes` tables (generated using [DBeaver]({% link {{ page.version.version }}/dbeaver.md %})):
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-bookstores.png' | relative_url }}" alt="tutorial.bookstores and tutorial.bookstore_routes ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/er-bookstores.png' | relative_url }}" alt="tutorial.bookstores and tutorial.bookstore_routes ER diagrams" style="max-width:100%" />
 
 As mentioned above, the `bookstores` table was created by scraping web data from the [American Booksellers Association website's member directory](https://bookweb.org/member_directory/search/ABAmember). In addition, the `geom` column was constructed by doing some [address geocoding](https://wikipedia.org/wiki/Address_geocoding) that converted each bookstore's address to a lon/lat pair and converted to a spatial object using `ST_MakePoint`. For each bookstore, the script did a bit of parsing and geocoding and ran essentially the following query:
 
@@ -1755,7 +1751,7 @@ There are multiple ways to do geocoding. You can use REST API-based services or
 
 Meanwhile, the `roads` table has many columns; the most important ones used in this tutorial are `state`, `geom`, `miles`, and `prime_name` (the human-readable name of the road).
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-roads.png' | relative_url }}" alt="tutorial.roads ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/er-roads.png' | relative_url }}" alt="tutorial.roads ER diagrams" style="max-width:100%" />
 
 For more information about what the other columns in `roads` mean, see the [full data set description](https://www.sciencebase.gov/catalog/file/get/581d052be4b08da350d524ce?f=__disk__60%2F6b%2F4e%2F606b4e564884da8cca57ffeb229cd817006616e0&transform=1&allowOpen=true).
 
@@ -1773,7 +1769,7 @@ The tables in the `birds` database are diagrammed below:
 - `routes` is a list of ~130 prescribed locations that the birdwatchers helping with the survey visit each year. The `geom` associated with each route is a [Point]({% link {{ page.version.version }}/point.md %}) marking the latitude and longitude of the route's starting point. For details, see the [schema](https://www.sciencebase.gov/catalog/file/get/5ea04e9a82cefae35a129d65?f=__disk__b4%2F2f%2Fcf%2Fb42fcfe28a799db6e8c97200829ea1ebaccbf8ea&transform=1&allowOpen=true) (search for the text "routes.csv").
 - `observations` describes the ~85,000 times and places in which birds of various species were actually seen. The `bird_id` is a [foreign key]({% link {{ page.version.version }}/foreign-key.md %}) to the ID in the `birds` table, and the `route_id` points to the ID of the `routes` table.
 
-<img src="{{ 'images/v24.2/geospatial/tutorial/er-birds.png' | relative_url }}" alt="birds.birds, birds.routes, and birds.observations ER diagrams" style="max-width:100%" />
+<img src="{{ 'images/v25.1/geospatial/tutorial/er-birds.png' | relative_url }}" alt="birds.birds, birds.routes, and birds.observations ER diagrams" style="max-width:100%" />
 
 Each of these tables were populated using a script that parsed [the CSV files available for download](https://www.sciencebase.gov/catalog/item/52b1dfa8e4b0d9b325230cd9) and added the data using [`INSERT`]({% link {{ page.version.version }}/insert.md %}) statements. For the `routes` table, once again the `ST_MakePoint` function was used to create a geometry from the lon/lat values in the CSV as follows: