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Plotting basis (heat) maps in R

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Plotting basis (heat) maps in R

I'm trying to plot a basis map for the Midwest region in R but the closest solution I've found is a stat_density2d plot. Instead of plotting the frequencies I have a column of values called basis that are negative and positive and I'd like to reflect their distribution over a map as a heatmap. Is it possible? And are the non-ggmap solutions?

An example of what I want: enter image description here

The data:

    structure(list(crop_name = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L
), .Label = c("beans", "corn", "hrw", "milo"), class = "factor"), 
    year = c(2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 
    2019, 2019), week = c(27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 
    27, 27, 27, 27, 27, 27), basis = c(-0.320000052452087, -0.289999842643738, 
    -0.399999976158142, -0.289999842643738, -0.349999785423279, 
    -0.249999865889549, -0.220000132918358, -0.309999823570251, 
    -0.309999823570251, 0.199999943375587, 0.150000229477882, 
    0.150000229477882, -0.399999976158142, -0.309999823570251, 
    -0.0500000566244125, -0.349999785423279, 0.0200001150369644, 
    0.0200001150369644, 0.0200001150369644, -0.349999785423279, 
    -0.0700000375509262, -0.349999785423279, -0.349999785423279, 
    -0.399999976158142, -0.399999976158142, -0.249999865889549, 
    -0.0999997705221176, -0.340000033378601, -0.249999865889549, 
    -0.249999865889549, -0.0999997705221176, -0.550000071525574, 
    -0.349999785423279, -0.109999999403954, -0.309999823570251, 
    -0.520000100135803, -0.449999928474426, -0.449999928474426, 
    -0.200000151991844, -0.360000014305115, -0.28000009059906, 
    -0.309999823570251, -0.0500000566244125, -0.0999997705221176, 
    -0.419999957084656, -0.419999957084656, -0.320000052452087, 
    -0.370000004768372, -0.309999823570251, -0.360000014305115, 
    -0.200000151991844, -0.109999999403954, -0.109999999403954, 
    -0.399999976158142, -0.0500000566244125, 1.33514404865309e-07, 
    -0.109999999403954, -0.320000052452087, -0.269999861717224, 
    0.0200001150369644, -0.320000052452087, -0.349999785423279, 
    -0.349999785423279, -0.349999785423279, -0.419999957084656, 
    -0.309999823570251, -0.370000004768372, -0.370000004768372, 
    -0.200000151991844, -0.0199998468160629, -0.0199998468160629, 
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    -0.109999999403954, -0.169999942183495, -0.490000128746033, 
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    165L, 16L, 568L, 590L, 591L, 394L, 511L, 630L, 617L, 18L, 
    323L, 614L, 171L, 172L, 172L, 596L, 120L, 377L, 547L, 578L, 
    175L, 175L, 87L, 513L, 440L, 20L, 569L, 375L, 21L, 514L, 
    473L, 618L, 179L, 179L, 597L, 181L, 182L, 121L, 185L, 107L, 
    378L, 378L, 378L, 361L, 516L, 351L, 458L, 409L, 25L, 517L, 
    122L, 489L, 188L, 465L, 108L, 27L, 189L, 496L, 192L, 555L, 
    194L, 363L, 342L, 497L, 459L, 197L, 29L, 390L, 30L, 556L, 
    32L, 428L, 598L, 343L, 199L, 200L, 201L), .Label = c("1569", 
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