International Journal of Geo-Information Article Deep Understanding of Urban Dynamics from Imprint Urban Toponymic Data Using a Spatial–Temporal–Semantic Analysis Approach Yurong Chen 1 , Feng Zhang 1,2,* , Xinba Li 3, Chuanrong Zhang 3 , Ninghua Chen 1,4, Zhenhong Du 1,2, Renyi Liu 1,2 and Bo Wang 1,2 1 School of Earth Sciences, Zhejiang University, Hangzhou 310027, China;
[email protected] (Y.C.);
[email protected] (N.C.);
[email protected] (Z.D.);
[email protected] (R.L.);
[email protected] (B.W.) 2 Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310028, China 3 Department of Geography, University of Connecticut, Storrs, CT 06269, USA;
[email protected] (X.L.);
[email protected] (C.Z.) 4 Key Laboratory of Big Data in Geosciences and Deep Earth Resources of Zhejiang Province, Hangzhou 310027, China * Correspondence:
[email protected]; Tel.: +86-571-88273287 Abstract: Urban land use is constantly changing via human activities. These changes are recorded by imprint data. Traditionally, urban dynamics studies focus on two-dimensional spatiotemporal analysis. Based on our best knowledge, there is no study in the literature that uses imprint data for better understanding urban dynamics. In this research, we propose a spatial–temporal–semantic triple analytical framework to better understand urban dynamics by making full use of the imprint data, toponyms. The framework includes a text classification method and geographical analysis Citation: Chen, Y.; Zhang, F.; Li, X.; methods to understand urban dynamics in depth. Based on the inherent temporal and spatial Zhang, C.; Chen, N.; Du, Z.; Liu, R.; Wang, B.