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ORCIDJournal of Geographical Systems, Volume 28
Volume 28, Number 1, January 2026
Special Issue: The 22nd International Workshop on Spatial Econometrics and Statistics (SEW 2024)
- Adélaïde Fadhuile, Julie Le Gallo:
Introduction to the special issue: Recent advances in spatial statistics and spatial econometrics - selected papers from the 22nd International Workshop on Spatial Econometrics and Statistics (SEW 2024). 1-5 - Giuseppe Arbia, Vincenzo Nardelli
:
The impact of spatial outliers on spatial correlation: the role of the local influence function. 7-25 - Ghislain Geniaux:
Top-down scale approaches for multiscale GWR with locally adaptive bandwidths. 27-76 - Romain Loup, François Bavaud:
Spatial autocorrelation of political opinions: a kernel approach. 77-103 - Francesco Viviani, Leonardo Piccini, Chiara Bocci:
"What is a city but [what it offers to] the people?": spatial interaction gravity models on internal migration within Tuscany. 105-121 - Maria Antònia Barceló, Marc Saez:
Assessing excess mortality and heat-attributable risk during the summer of 2022 in Catalonia, Spain: a Bayesian spatiotemporal analysis. 123-149 - Maria Antònia Barceló, Marc Saez:
Author Correction: Assessing excess mortality and heat-attributable risk during the summer of 2022 in Catalonia, Spain: a Bayesian spatiotemporal analysis. 151-152
Volume 28, Number 2, April 2026
- Manfred M. Fischer, Julie Le Gallo, Antonio Páez, Petra Staufer-Steinnocher:
2025 JGS Best Paper Award and the Editors' Choice Paper Volume 28(2). 153-157 - André Leite Rodrigues, Mariana Giannotti, Bruno Miranda, Paulo Morgado:
Intra-urban inequalities in opportunities for pedestrian mental well-being: a GIScience framework using 15-minute isochrones and spatial clustering. 159-191 - Ikuho Yamada, Yukio Sadahiro:
Point pattern analysis on spatially aggregated data. 193-216 - Yifan Zhang, Yizhe Chen, Zhiyun Wang, Ci Song, Wenhao Yu:
OpenStreetMap based POI knowledge graph enhanced by large language model. 217-241 - Daniel Bicák, Lukás Brodský:
Efficiency of spatially multiscale machine learning models in addressing spatial non-stationarity and enhancing predictive accuracy. 243-279 - Peter Congdon:
An extended framework for spatial disaggregation models. 281-311 - Xiaojing Huang, Qiuxia Xu, Ningbo Zhao, Yingcang Ma:
Structural identification and model estimation of a multi-type coefficient geographically weighted regression model based on the group lasso method. 313-343
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