So sánh phương pháp

	Co-kriging: Nội suy Địa thống kê Đa biến	Hồi quy Trọng số Địa lý Đa tỷ lệ (MGWR)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1965-1978	2017
Người khởi xướng	Matheron, G.; extended by Journel & Huijbregts	A. Stewart Fotheringham, Wei Yang, and Wei Kang
Loại	Geostatistical interpolation	Local spatial regression
Công trình gốc	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561	Fotheringham, A. S., Yang, W., & Kang, W. (2017). Multiscale geographically weighted regression (MGWR). Annals of the American Association of Geographers, 107(6), 1247-1265.
Tên gọi khác	cokriging, co-regionalization kriging, multivariate kriging, CK	MGWR, multiscale GWR, multi-scale geographically weighted regression, variable-bandwidth GWR
Liên quan	5	5
Tóm tắt	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.	Multiscale Geographically Weighted Regression (MGWR) is a local spatial regression framework that relaxes the single-bandwidth constraint of standard GWR by allowing each predictor to operate at its own spatial scale. Each coefficient surface is calibrated with its own bandwidth, enabling the model to distinguish drivers that vary slowly across space from those that vary sharply.