An intelligent generalization method of geological body for MapGIS geological map downsizing

HE Wenna; ZHU Changqing; LI Yangchun; CHEN Yuanyuan; WANG Yongzhi; JIANG Zuorui

2020 Vol. 39, No. 6

Article Contents

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HE Wenna, ZHU Changqing, LI Yangchun, CHEN Yuanyuan, WANG Yongzhi, JIANG Zuorui. An intelligent generalization method of geological body for MapGIS geological map downsizing[J]. Geological Bulletin of China, 2020, 39(6): 871-879.

Citation:

HE Wenna, ZHU Changqing, LI Yangchun, CHEN Yuanyuan, WANG Yongzhi, JIANG Zuorui. An intelligent generalization method of geological body for MapGIS geological map downsizing[J]. Geological Bulletin of China, 2020, 39(6): 871-879.

An intelligent generalization method of geological body for MapGIS geological map downsizing

1.
Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, Jiangsu, China
2.
Research Department of Basic Course Teaching, Jilin Sport University, Changchun 130012, Jilin, China
3.
Development and Research Center of China Geological Survey, Beijing 100037, China
4.
Regional Geological Survey Institute of Hebei Province, Langfang 065000, Hebei, China
5.
Institute of Integrated Information for Mineral Resources Prediction, Jilin University, Changchun 130061, Jilin, China
6.
College of Geoexploration Science & Technology, Jilin University, Changchun 130061, Jilin, China
7.
Beijing Space-Time Technique Development Co., Ltd., Beijing 100083, China

Received Date: 01 October 2019

Revised Date: 08 May 2020

Publish Date: 15 June 2020

Abstract

Abstract

Some complex problems have to be faced during medium-small scale map making from large scale geological map, such as low efficiency to merge massive geological polygons, complicated processing procedures, and being difficult in assuring data quality.This paper proposes a novel intelligent generalization method for geological body based on cartographic and artificial intelligence.Dissolving, spatial aggregation, customized fusion, elimination and exaggeration are employed to perform intelligent processing integrating map generalization and intelligent algorithms.iMapower(MapGIS version)implements the above generalization methods in corresponding modules, which can run automatically or in the form of human-computer interaction.It is very easy to complete most of complete geological body mapping tasks just clicking one time.Using real data to verify the proposed method is effective and can be corrected during mapping from large-scale map to small-scale map, and it can save at least 85 percent of geologic body generalization workload.It can greatly improve the work efficiency and assure the data quality.Furthermore, this way can play an important role in pursuing intelligent compilation of geological map.
- map generalization /
- geological body generalization /
- geological map downsizing /
- iMapower /
- artificial intelligence

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References

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