Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (5): 5-9.doi: 10.13474/j.cnki.11-2246.2021.0132

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Study on attribute joining and extension approach between spatio-temporal data for new surveying and mapping

WANG Yuhong, LIU Kangchen   

  1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China
  • Received:2020-04-10 Revised:2021-03-22 Published:2021-05-28

Abstract: Attribute joining is an important operation and method to integrate multi-source attribute data from new surveying and mapping, enrich entity information and promote knowledge mining and service. The limitations of ArcMap in join predicate, join type, join cardinality and other aspects are analyzed and explained base on the summary of the concept and type of join. Aiming to these limitations, the popular AO addin technology at present is chosen to design and implement an extended attribute join toolbar, named eJoin. Its interface component elements and function implementation strategies are discussed in detail. Many experiments for testing it have been done using various datasets. The results show that the extended toolbar can efficiently carry out many kinds of join operation between data tables such as general join, self join, m∶n join, projection join, etc., and supplies more practical, convenient, flexible tool supports for attribute joining between spatio-temporal data from new surveying and mapping.

Key words: new surveying and mapping, attribute Join, ArcMap, feature class, relation table, Addin

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