Inferring spatial interaction patterns from sequential snapshots of spatial distributions
作者： Di Zhu , Zhou Huang , Li Shi , Lun Wu , Yu Liu
DOI: 10.1080/13658816.2017.1413192
关键词: Spatial interaction 、 Population 、 Biological system 、 Spatial heterogeneity 、 Computer science
摘要: Spatial interactions underlying consecutive sequential snapshots of spatial distributions, such as the migration flows underlying temporal population snapshots, can reflect the details …
sci-hub.se 
researchgate.net 参考文章(73)
A.S. Fotheringham, Spatial Interaction Models International Encyclopedia of the Social & Behavioral Sciences. pp. 14794- 14800 ,(2001) , 10.1016/B0-08-043076-7/02519-5
Michael Batty, The New Science of Cities ,(2013)
Bernd Gärtner, Jiří Matoušek, Understanding and Using Linear Programming ,(2006)
Peter Haggett, Geography: A Global Synthesis ,(2001)
Claude Comtois, Brian Slack, Jean-Paul Rodrigue, The Geography of Transport Systems ,(2006)
Carl D. Meyer, Matrix Analysis and Applied Linear Algebra ,(2010)
Steven J. Leon, Linear Algebra With Applications ,(1966)
日本科学技術連盟, George Bernard Dantzig, THE SIMPLEX METHOD Union of Japanese Scientists & Engineers. ,(1956)
Minimum‐Cost Flow Problems John Wiley & Sons, Inc.. pp. 91- 126 ,(2011) , 10.1002/9781118033142.CH4
Yanguang Chen, The distance-decay function of geographical gravity model: Power law or exponential law? Chaos, Solitons & Fractals. ,vol. 77, pp. 174- 189 ,(2015) , 10.1016/J.CHAOS.2015.05.022