Entity-oriented spatial coding scheme and its application for spatial topology

ABSTRACT

Based on a newly proposed spatial data model Spatial Chromatic Model (SCM), we developed a spatial coding scheme, called the full-coded Ordinary Arranged Chromatic Diagram (full-OACD). As a type of spatial tessellation, full-OACD partitions a geographic space into a number of subspaces, such as cells, edges, and vertices. These subspaces are called spatial particles and are assigned with unique codes chromatic codes. The generation, structure, computation, and properties of full-OACD are introduced. Relations between particulate chromatic codes and spatial topology are investigated. Full-OACD is a kind of new discrete spatial coordinate system where the information of real-world entities is embedded. Full-OACD provides an informative and meaningful spatial coding framework for spatial topological analysis and many other potential applications in geospatial information science.

KEYWORDS:

• Spatial data model
• spatial coding
• spatial tessellation
• spatial topology

Acknowledgement

The author thanks the understanding and supports of the anonymous reviewers from not only this journal but also the other 20 rejected journals within 8 years. The author also thanks Yiming (Brighter) and Mingxin (Bright Heart) for their caring and giving throughout the author’s whole life since 1973, and particularly during the most difficult days in 2017. What all the above people have done tells that the way of truth and love has always won.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Additional information

Funding

This study is supported by National Natural Science Foundation of China (grant number: 41971373) and Natural Science Foundation of Zhejiang Province (grant number: LY17D10005).

Notes on contributors

Weining Zhu

Weining Zhu received the College and M.S. degrees in Information Physics and Cartography and GIS from Nanjing University, Nanjing, China, in 1995 and 2001, respectively, and the Ph.D. degree in Geosciences from the University of Massachusetts, Amherst, MA, USA, in 2012. Since 2013, he has been an Associate Professor with the Department of Marine Informatics, Ocean College, Zhejiang University. His research interests include GIS, spatial analysis, and remote sensing of environment.