geo | Helper for geographic searches & clustering of coordinates | Data Visualization library

I am working on a project where I am using a shape file to make a choropleth map of the United States. To do this, I downloaded the standard shape file here from the US Census Bureau. After a little bit of cleaning up (there were some extraneous island territories which I removed by changing the plot's axis limits), I was able to get the contiguous states to fit neatly within the bounds of the matplotlib figure. For reference, please see Edit 4 below.

Edit 1: I am using the cb_2018_us_state_500k.zip [3.2 MB] shape file.

The only problem now is that by setting axis limits I now am no longer able to view Alaska and Hawaii (as these are obviously cut out by restricting the axis limits). I would now like to add both of these polygons back in my map but now towards the lower part of the plot figure (the treatment that is given by most other maps of this type) despite its geographical inaccuracy.

To put this more concretely, I am interested in selecting the polygon shapes representing Alaska and Hawaii and moving them to the lower left hand side of my figure. Is this something that would be possible?

I can create a Boolean mask using:

I've created a geo chart that shows the map of the US:

i have a geoJSON

I'm having an issue when i'm uploading app bundle to the play console that You uploaded an APK or Android App Bundle which has an activity, activity alias, service or broadcast receiver with intent filter, but without 'android:exported' property set. This file can't be installed on Android 12 or higher. but my manifest file includes the property.

Manifest file

My foreach loop dont work. It brings me only 1st item info when i use $arr in my foreach loop but when i change that to $value it gives me nothing :(

To make it easy to visualize, below is the following Record lookup table.

I just can't seem to find anywhere online where it tells you which of these are supposed to also contain charset=utf-8.

Should I just assume it's anything similar to text?

Take a look:

Two DataFrames have city names that are not formatted the same way. I'd like to do a Left-outer join and pull geo field for all partial string matches between the field City in both DataFrames.

I'm trying to use Cartopy to project GOES satellite imagery data onto a regular grid across the USA. I'm doing something wrong with my translation from GOES to grid at the end of this colab workbook. I'm doing this:

I would like to extract the unit of measurement (decimal degrees, metres, feet, etc.) from a spatial object in R. For example, if I have an SF data frame that uses the WGS84 co-ordinate reference system (EPSG:4326), I would like to be able to determine that the co-ordinates are specified in decimal degrees. Similarly, I'd like to be able to determine that UTM co-ordinates (e.g. EPSG:32615) are specified in metres.

I have tried using the st_crs() function from the sf package, which returns the co-ordinate reference system in well-known text format. However, I'm struggling to be certain that a regex that extracts the unit of measurement from that well-known text will operate reliably for a wide range of co-ordinate systems.

Is there an existing function that returns the measurement unit for a spatial object?

For example, the following code produces an SF data frame that uses the WGS84 co-ordinate system: