supercluster | A very fast geospatial point clustering library | Dataset library

I am bringing up aws_ecs_task_defintion with following terraform configuration.

I pass local.image_tag as variable to control the deployment of our ecr image through terraform.

I am able to bring up the ecs_cluster on initial terraform plan/apply cycle just fine.

However, on the subsequent terraform plan/apply cycle, terraform is forcing the new container definition and thats why redeploying the entire task definition even though our ecr image local.image_tag remains just same

This behaviour, is causing the unintended task definition recycle without any changes to the ecr image and just terraform forcing values with defaults.

TF Config

After figuring out how to deal with TypeScript and use-supercluster library I have "made it work" until I got a new problem: I get an empty array whenever I use useSuperCluster() function.

I am following the creator's guide so I can handle my own project.

This is what I do:

I am having troubles while implementing use-supercluster with TypeScript. I am trying to use clusters to differentiate two types of data in a Google Map with something like red clusters vs. green clusters.

I can't find any documentation related to use this library with TypeScript and I am not getting enough information from its types:

So, what is argument P? I was following the use-supercluster creator's guide to add clusters but after installing supercluster types I am getting errors here:

I'm sure this is an easy one, but I dont know why this code cannot plot two graphs in the same window.

I am trying to use marker clustering because I have over 2000 markers being mapped currently, but I am not sure how to implement it with the way that I am loading the markers. Do I have to use a GeoJSON in order to use marker clustering? I would prefer to not use GeoJSON if possible, I am using a JSON file at the moment and looping through the data stored on Firebase. I would like to use the supercluster library if possible (https://github.com/mapbox/supercluster) but I am not sure what to load into index.load(points). Is clustering possible the way I have my code at the moment?

Our android build started failing all on its own without a single line change for 2 days now.

This is the error message:

/Users/shroukkhan/.gradle/caches/transforms-1/files-1.1/ui-5.11.1.aar/baa8b66e2e52a0a50719f014fc3f1c32/res/values/values.xml:40:5-54: AAPT: error: resource android:attr/fontVariationSettings not found.

/Users/shroukkhan/.gradle/caches/transforms-1/files-1.1/ui-5.11.1.aar/baa8b66e2e52a0a50719f014fc3f1c32/res/values/values.xml:40:5-54: AAPT: error: resource android:attr/ttcIndex not found.

As I understand this is related to android support library version mismatch, so i have forced using same library version . However, the problem has persisted. Here is the root level build.gradle:

I have some rows with geo points in an ElasticSearch index. Now, I search for all rows e.g. in the radius of 5 kilometers. The result is a list with all points matching the query. Is it possible to cluster the result in ElasticSearch to get all "hotspots"? Already found the geo centroid aggregation function of elasticsearch but thats not the thing Iam searching for. I know, it is possible to do it with libraries like Supercluster by Mapbox or something like that. But is it possible with ElasticSearch? please see the two pictures. The second picture shows the result I want to get. Cheers!

I'm making a clustered map with mapbox supercluster. The problem I face is that clusters are not at the correct location. For example I only have dogs in the netherlands but when zoomed out they are in france aswel.

When I zoom further the clusters slowly move al to the Netherlands. When I am scrolling the clusters move on the map aswel.

The problem can be seen here on my site https://v2.sayhi.dog/?dog-map=true.

My code looks like this (I use vue.js):

Node Js when I print one variable I am getting values like this