Centroid Puns

I'm trying to convert a csv file set of values into a raster but keep receiving the above error.

#Set raster options to improve speed of calculation
rasterOptions(tmptime = 4,
              progress = "text", #displays raster operation progress bar
              timer = TRUE, #outputs raster calculation duration 
              maxmemory = 10e+9, #max no. of bytes to read into memory
              chunksize = 5e+9, #max no. of bytes to read/write in a single chunk while processing disk-based raster objects
              tmpdir = tmp_path) #location for writing temporary file

#Define CRS
WGS84 <- "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"

#select csv file containing RR predicted poverty
pov_csv_path <- "" #paste CSV Flile

#set csv path's parent directory as working directory 
setwd(dirname(dirname(pov_csv_path)))

#load csv to dataframe
df_pov<- read.csv(pov_csv_path)

#Subset the predicted poverty dataframe to get the grid ID & lat and lon
centroids <- df_pov %>%
  select(id,lon,lat)

#Make a raster from centroids
#Function generates raster from regular grids like dataset used - assumes minimum distance between x & y coordinates is raster resolution
centroid_rast <- rasterFromXYZ(xyz = centroids[,c("lon","lat","id")], crs=WGS84)
``

Link to CSV file used: https://drive.google.com/file/d/1uUyNdhWQXLwGYHrfU3jKMRi5XkYrj6K2/view?usp=sharing

Error Message: Error in rasterFromXYZ(xyz = centroids[, c("lon", "lat", "id")], crs = WGS84) : 
  y cell sizes are not regular

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Doing some Big Data coursework for my DS Masters and I am pretty confused by what I'm seeing. I'm running k-means clustering on Mahout and understand you can generally get different final centroids in k-means because it initializes them randomly... But I've initialized clusters using canopy clustering and even after that am seeing wide variance in the final density values. Here's one example:

I've run this for different k values, distance metrics and max iteration values. The behavior is similar.

This is problematic because the purpose of this project is to compare performance across different parameter values. With such divergent results within the same parameter set, I'm forced to run each set of parameters multiple times and take an average, which is drastically increasing processing time and computation cost.

Is this expected behavior? Did I misunderstand something?

Im trying to get the centroid of the parabola with the vertex, but I do not know which of these formulas to follow.

https://preview.redd.it/04eara4o5i381.jpg?width=416&format=pjpg&auto=webp&s=b405b490a2d2343410f959e9647303d878116a90

https://preview.redd.it/mcgh3c4o5i381.jpg?width=786&format=pjpg&auto=webp&s=75b8ca189ce6d562eb0f9db013ecb38d93aadf04

https://preview.redd.it/02gf2g4o5i381.jpg?width=894&format=pjpg&auto=webp&s=b4f3cd7c87f9f0cba4f9ce658ced64074c8e3471

Not finding a lot of information on a Centroid Acorn being used to control a plasma table but that is the path I would like to go down for my build. Any recommendations for a good thc that plays well with the acorn? Any other pitfalls to watch out for when using an acorn on a plasma table?

Hello everyone,

is there a possibility to measure the distance between the cell centroid and boundary face centroid d_1 and d_2 of specific cells in STAR-CCM+?

https://preview.redd.it/l8jmg8gm88u71.png?width=391&format=png&auto=webp&s=c54a6aa675a5244cefa15c0a0d60dccfaa22fb23

Hello everyone, I just had a quick question I was hoping someone could help me with. I have a shapefile of boundaries of Texas census blocks and I need to get the centroids of each of these census blocks, but I am unsure how I would be able to do that. I have tried using the mean center tool, but only some of the census blocks show up after using this tool. If anyone would be able to help with this at all, it would be greatly appreciated!

I got a geo fraction and a foreachloop to put each piece on it's centroid, and want the pieces to move away from the original geo in a pulse-like style, only moving directly away from where it was if that makes sense. I've tried different ways and just haven't found the solution to it.

I feel like it is a simple line of code involving the Normals of specific faces but can't quite figure out what that is. Any help would be appreciated!

Can put a link of the file if needed.

https://preview.redd.it/jdg8679yn0x71.png?width=605&format=png&auto=webp&s=d9396d13886ba819345226b7f9282e9705c5a277

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Given 3 collinear points H, I, G where I divides H, G internally. Construct a triangle whose orthocenter, incenter, centroid are H, I, G respectively. Use only straightedge and compass.

edit, assume HI : IG ≠ 3 : 1

edit2, H,I,G are distinct

Hello all,

Is it possible to find the maximum weight or force that can be applied to the center of a beam of a given length with the following provided specs? How?

- dimensions: 15x15mm width and height
- weight: 0,297 gram per mm
- material: aluminum , v2.1 6063-T5
- stiffness area: 113,52mm²
- polar moment of inertia of the area, at the centroid = 4705,05mm⁴
- principal moments of inertia of the area, at the centroid:
lx = 2352,52mm⁴
ly = 2352,52mm⁴

The beams in question are openbeam / makerbeamxl.