Academic Journal
Statistical Reliability of the Modified Areal Weighted by Control Zones Method to Spatially Downscale Individual Social Data
| Τίτλος: | Statistical Reliability of the Modified Areal Weighted by Control Zones Method to Spatially Downscale Individual Social Data |
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| Συγγραφείς: | Touati, Najla, Jean Baptiste, Wilda, Hidalgo, Julia |
| Συνεισφορές: | Touati, Najla |
| Πηγή: | European Journal of Geography, Vol 16, Iss 2 (2025) |
| Στοιχεία εκδότη: | European Association of Geographers, EUROGEO ivzw, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | mesh, spatial analysis, topographical reference unit (RSU), disaggregation, aggregation, Geography. Anthropology. Recreation, [SHS] Humanities and Social Sciences, Downscaling social data, upscaling social data, [STAT] Statistics [stat] |
| Περιγραφή: | This study evaluates the modified areal weighting by control zones method (MAW-CZ) often involved in downscaling social data from a large spatial mesh, to a smaller mesh. This method has been extensively used in literature but the impossibil-ity, until recently, of accessing individual data makes it so that it has not been evaluated. In this study it is applied to two case studies, Toulouse and Grenoble-Alpes Metropoles, using the census INSEE data at the IRIS scale and the building islet or topographical reference units (RSU) scale. The study found that 27.2% of RSUs in the Toulouse metropolis and 21.9% in the Grenoble-Alpes metropolis are inhabited, with mean populations of 122 and 116 residents, and maximum populations of 2,429 and 6,451 residents, respectively in 2018. The chosen downscaling approach introduces small errors for small and medium-sizedRSUs. For example, 94%, 78%, and 72% of RSUs of |
| Τύπος εγγράφου: | Article |
| ISSN: | 2410-7433 1792-1341 |
| DOI: | 10.48088/ejg.n.tou.16.2.268.285 |
| Σύνδεσμος πρόσβασης: | https://doaj.org/article/d4d7ac01e0464df2a4e9f94d2b792dbd |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....6fedbc94e37c9f2d4a04c3e917015da4 |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 24107433 17921341 |
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| DOI: | 10.48088/ejg.n.tou.16.2.268.285 |