Cartography, like any other representation tools, contains biases and generalizations in the depictions of places, and has historically been used for imperial expansion, colonialism, and segregation. By using machine learning, we created datasets and combined them to generate new lands, which were then represented through datasets, static maps, moving maps to explore different means of representation.