A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03061-1 |
| _version_ | 1797275914150608896 |
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| author | Jeremiah J. Nieves Andrea E. Gaughan Forrest R. Stevens Greg Yetman Andreas Gros |
| author_facet | Jeremiah J. Nieves Andrea E. Gaughan Forrest R. Stevens Greg Yetman Andreas Gros |
| author_sort | Jeremiah J. Nieves |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T15:20:50Z |
| format | Article |
| id | doaj.art-47adb82e25464bdab2ec1d4791a0cb44 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-07T15:20:50Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-47adb82e25464bdab2ec1d4791a0cb442024-03-05T17:39:31ZengNature PortfolioScientific Data2052-44632024-02-0111111010.1038/s41597-024-03061-1A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregationJeremiah J. Nieves0Andrea E. Gaughan1Forrest R. Stevens2Greg Yetman3Andreas Gros4University of Glasgow, School of Geographical & Earth SciencesUniversity of Louisville, Dept. of Geographic and Environmental SciencesUniversity of Louisville, Dept. of Geographic and Environmental SciencesCenter for International Earth Science Information Network (CIESIN), University of ColumbiaVibrant Planet PBCAbstract 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.https://doi.org/10.1038/s41597-024-03061-1 |
| spellingShingle | Jeremiah J. Nieves Andrea E. Gaughan Forrest R. Stevens Greg Yetman Andreas Gros A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation Scientific Data |
| title | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
| title_full | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
| title_fullStr | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
| title_full_unstemmed | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
| title_short | A simulated ‘sandbox’ for exploring the modifiable areal unit problem in aggregation and disaggregation |
| title_sort | simulated sandbox for exploring the modifiable areal unit problem in aggregation and disaggregation |
| url | https://doi.org/10.1038/s41597-024-03061-1 |
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