We’re on a roll! This week we’ll tackle yet another topic for the first time: geospatial analytics! Use our Geospatial extension to show us what your favorite place in the world is!
Here is the challenge. Let’s use this thread to post our solutions to it, which should be uploaded to your public KNIME Hub spaces with tag JKISeason2-18.
Need help with tags? To add tag JKISeason2-18 to your workflow, go to the description panel on the right in KNIME Analytics Platform, click the pencil to edit it, and you will see the option for adding tags right there. Let us know if you have any problems!
Here’s my solution. Two maps of my hometown. One based on geocoding the centroid; the other using OSM boundaries. The latter was a little finicky. My town has the same name as the county its located in. OSM defaults to the county boundary. Oddly enough if I just used the town name and USA it works. This seems odd since there are towns in many states with the same name. Regardless, it worked in this case. BTW - I couldn’t figure out how to use a postal code in the OSM node. They work in the OSM API.
Here’s my solution.
I used @sryu ’s workflow. Thank you, @sryu. In order to display the full world map on execution, the North pole and the South pole were added to the map. They are like thumbtacks. Thanks.
Here is my submission on the challenge… couldnt avoid the zoom for the world view.
OSM boundry is a good tool while throws many errors especially the region and emenities…Found it has limited content in the Indian subcontinent in many tags … even for tags like tourism … Might have to change the CRS while tried many CRS still shows the few data /no data.
Here is my solution, thanks to @rfeigel for the example since I have never used Geospatial extension before. Similar to @HeatherPikairos I built an interactive component that show any place user enter to the text bar.
Unfortunately I had troubles with Geospatial View node on Linux, so I used Windows (I have already posted a bug report).
Hello everyone, this is my solution.
This question is indeed a challenge for me, as shown in the figure. I also referenced to and studied the solutions proposed by my previous colleagues. It is worth mentioning that if it is a positional description string (table data), it can be transformed using the “Geocoding” node.