科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Transactions in GIS2026-03-24· Computer science

Software for <scp>MGWR</scp> : A Comparison of Six Algorithms

Chen‐Lun Kao, A. Stewart Fotheringham

原始摘要(英文原文)· Original abstract
ABSTRACT Regression‐based local modeling through multiscale geographically weighted regression (MGWR) is popular in studies of spatial processes across a wide array of disciplines, and six major software packages exist for this purpose: MGWR 2.2.1; mgwr‐plugin 1.1 in QGIS; MGWR in ArcGIS Pro 3.4.3; GWmodel 2.4.1 in R; GWmodelS 1.0.4; and mgwrsar 1.1 in R. We compare major functionalities, model specification options, and performance attributes of these algorithms using both simulated and empirical data and show that the calibration results are not always consistent. The results provide an important reminder that the software used in calibrating local models should always be cited.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Software for <scp>MGWR</scp> : A Comparison of Six Algorithms — 科研速览 Science Skim