Add LatLong transform primitives - GeoMidpoint, IsInGeoBox, CityblockDistance

[gsheni]

• Add LatLong transform primitives
• These are primitives already in our Predict NYC Taxi Trip open source demo

[codecov]

Codecov Report

Merging #1814 (1909cfe) into main (ea50803) will increase coverage by 0.07%.
The diff coverage is 100.00%.

❗ Current head 1909cfe differs from pull request most recent head 3ab1a5c. Consider uploading reports for the commit 3ab1a5c to get more accurate results

@@            Coverage Diff             @@
##             main    #1814      +/-   ##
==========================================
+ Coverage   98.67%   98.74%   +0.07%     
==========================================
  Files         141      142       +1     
  Lines       15722    15872     +150     
==========================================
+ Hits        15513    15673     +160     
+ Misses        209      199      -10     

Impacted Files	Coverage Δ
...retools/primitives/standard/transform_primitive.py	100.00% <100.00%> (ø)
featuretools/primitives/utils.py	99.27% <100.00%> (+0.02%)	⬆️
...s/tests/primitive_tests/test_latlong_primitives.py	100.00% <100.00%> (ø)
featuretools/tests/conftest.py	100.00% <0.00%> (+0.40%)	⬆️
...utational_backend/test_calculate_feature_matrix.py	99.45% <0.00%> (+0.65%)	⬆️
...computational_backends/calculate_feature_matrix.py	99.15% <0.00%> (+0.84%)	⬆️

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[gsheni]

Ran some tests to determine the best nan approach to go with.

I tested it at lower Series lengths too, and came away with the same results.

Jupyter notebook:
replace_latlong_nan_perf.ipynb.zip

[thehomebrewnerd]

Do we also want to create a new issue to remove the extra checking that is in place in the primitive functions to handle a single nan value after Woodwork is updated to allow for a tuple of nans in a LatLong column?

[gsheni]

@thehomebrewnerd Created the issue:

• Remove extra NaN checking in LatLong primitives #1820

[tamargrey]

lgtm!