A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation

• Published in: Scientific data Vol. 11; no. 1; p. 239
• Main Authors: Nieves, Jeremiah J., Gaughan, Andrea E., Stevens, Forrest R., Yetman, Greg, Gros, Andreas
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.02.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 706/2808; 706/648/697; 706/689/680; Censuses; Data Descriptor; Decision making; Disaggregation; Geography; Humanities and Social Sciences; Machine learning; Mexico; multidisciplinary; Population; Science; Science (multidisciplinary); Mexico

We present a spatial testbed of simulated boundary data based on a set of very high-resolution census-based areal units surrounding Guadalajara, Mexico. From these input areal units, we simulated 10 levels of spatial resolutions, ranging from levels with 5,515–52,388 units and 100 simulated zonal co...