Improving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation

Simple item page
dc.contributor.authorWeihao Xuan
dc.contributor.authorFeng Zhang
dc.contributor.authorHongye Zhou
dc.contributor.authorZhenhong Du
dc.contributor.authorRenyi Liu
dc.date.accessioned2025-05-14T12:40:41Z
dc.date.available2025-05-14T12:40:41Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21424
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleImproving Geographically Weighted Regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation
dc.typesupplierxml
dspace.entity.typeDistribution
relation.isDatasetOfDistribution3fd3f072-cc62-475a-8666-242b137aa166
relation.isDatasetOfDistribution.latestForDiscovery3fd3f072-cc62-475a-8666-242b137aa166

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijgi-10-06-00413.xml
Size:
141.41 KB
Format:
Extensible Markup Language
Download

Collections

2021