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Regression modelGIS / spatial

Uchanganuzi wa Regresheni yenye Uzito wa Kijiografia wa Mizani Mingi (MGWR)

Uchanganuzi wa Regresheni yenye Uzito wa Kijiografia wa Mizani Mingi (MGWR) ni mfumo wa regresheni ya anga ya ndani unaolegeza kizuizi cha kipimo data kimoja cha GWR ya kawaida kwa kuruhusu kila kigezo huru kufanya kazi kwa kiwango chake cha anga. Kila uso wa mgawo husawazishwa na kipimo data chake, kuwezesha modeli kutofautisha viendeshaji vinavyobadilika polepole katika anga kutoka vile vinavyobadilika kwa kasi.

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Vyanzo

  1. Fotheringham, A. S., Yang, W., & Kang, W. (2017). Multiscale geographically weighted regression (MGWR). Annals of the American Association of Geographers, 107(6), 1247-1265. DOI: 10.1080/24694452.2017.1352480
  2. Oshan, T. M., Li, Z., Kang, W., Wolf, L. J., & Fotheringham, A. S. (2019). mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. ISPRS International Journal of Geo-Information, 8(6), 269. DOI: 10.3390/ijgi8060269

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multiscale Geographically Weighted Regression. ScholarGate. https://scholargate.app/sw/spatial-analysis/multiscale-geographically-weighted-regression

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ScholarGateMultiscale Geographically Weighted Regression (Multiscale Geographically Weighted Regression). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/spatial-analysis/multiscale-geographically-weighted-regression · Seti ya data: https://doi.org/10.5281/zenodo.20539026