Low complexity regions (LCRs) in proteins play a major role in the higher order assemblies of organisms, such as the nucleolus and extracellular matrix. Despite recent focus on how certain features affect the function of LCRs in intracellular higher order assemblies, the relationships between LCRs within proteins, captured by their type and copy number, has yet to be systematically studied. Furthermore, we still lack a unified view of how the sequences, features, relationships and functions of LCRs relate to each other. Here, we developed a systematic and comprehensive approach using dotplot matrices and dimensionality reduction to define LCR relationships proteome-wide and to create a map of LCR sequences capable of integrating any LCR features. As a proof of concept of the importance of LCR relationships, we demonstrate the biological significance of LCR copy number for higher order assembly of the nucleolar protein RPA43 both in vitro and in vivo. Using the LCR map, we revealed the boundaries and connections between regions of sequence space occupied by LCRs, and that LCRs of certain higher order assemblies populated specific regions of sequence space. The integration of LCR relationships and the LCR map provided a unified view of LCRs which uncovered the distribution, distinguishing features, and conserved prevalence of glutamic acid-rich LCRs among nucleolar proteins. When applied across multiple species, this approach highlights how differential occupancy of certain regions of LCR sequence space corresponds to the conservation and emergence of higher order assemblies, such as the plant cell wall or metazoan extracellular matrix. Additionally, we identified previously undescribed regions of LCR sequence space, including a teleost-specific threonine/histidine-rich cluster which exhibits signatures of higher order assemblies. By providing this unified view of LCRs, our approach enables discovery of how LCRs encode higher order assemblies of organisms.