A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation
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...
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| Published in | Scientific data Vol. 11; no. 1; p. 239 |
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| Abstract | 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 configurations for each level – totalling 1,000 simulated sets of areal units. These data facilitate interrogating various realizations of the data and the effects of the spatial coarseness and zonal configurations, the Modifiable Areal Unit Problem (MAUP), on applications such as model training, model prediction, disaggregation, and aggregation processes. Further, these data can facilitate the production of spatially explicit, non-parametric estimates of confidence intervals via bootstrapping. We provide a pre-processed version of these 1,000 simulated sets of areal units, meta- and summary data to assist in their use, and a code notebook with the means to alter and/or reproduce these data. |
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| AbstractList | 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 configurations for each level – totalling 1,000 simulated sets of areal units. These data facilitate interrogating various realizations of the data and the effects of the spatial coarseness and zonal configurations, the Modifiable Areal Unit Problem (MAUP), on applications such as model training, model prediction, disaggregation, and aggregation processes. Further, these data can facilitate the production of spatially explicit, non-parametric estimates of confidence intervals via bootstrapping. We provide a pre-processed version of these 1,000 simulated sets of areal units, meta- and summary data to assist in their use, and a code notebook with the means to alter and/or reproduce these data. Abstract 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 configurations for each level – totalling 1,000 simulated sets of areal units. These data facilitate interrogating various realizations of the data and the effects of the spatial coarseness and zonal configurations, the Modifiable Areal Unit Problem (MAUP), on applications such as model training, model prediction, disaggregation, and aggregation processes. Further, these data can facilitate the production of spatially explicit, non-parametric estimates of confidence intervals via bootstrapping. We provide a pre-processed version of these 1,000 simulated sets of areal units, meta- and summary data to assist in their use, and a code notebook with the means to alter and/or reproduce these data. |
| ArticleNumber | 239 |
| Author | Nieves, Jeremiah J. Yetman, Greg Stevens, Forrest R. Gros, Andreas Gaughan, Andrea E. |
| Author_xml | – sequence: 1 givenname: Jeremiah J. orcidid: 0000-0002-7423-1341 surname: Nieves fullname: Nieves, Jeremiah J. email: jeremiah.j.nieves@gmail.com organization: University of Glasgow, School of Geographical & Earth Sciences – sequence: 2 givenname: Andrea E. orcidid: 0000-0002-4898-1587 surname: Gaughan fullname: Gaughan, Andrea E. organization: University of Louisville, Dept. of Geographic and Environmental Sciences – sequence: 3 givenname: Forrest R. orcidid: 0000-0002-9328-3753 surname: Stevens fullname: Stevens, Forrest R. organization: University of Louisville, Dept. of Geographic and Environmental Sciences – sequence: 4 givenname: Greg surname: Yetman fullname: Yetman, Greg organization: Center for International Earth Science Information Network (CIESIN), University of Columbia – sequence: 5 givenname: Andreas surname: Gros fullname: Gros, Andreas organization: Vibrant Planet PBC |
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| Title | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
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