Location information acquisition and sharing application design in national census of Chinese medicine resources.
10.19540/j.cnki.cjcmm.2017.0167
- Author:
Xiao-Bo ZHANG
1
;
Meng LI
1
;
Hui WANG
1
;
Lan-Ping GUO
1
;
Lu-Qi HUANG
1
Author Information
1. State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medical, China Academy of Chinese Medical Sciences, Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
data collection;
distribution information;
national Chinese medicine resource census;
shared application
- From:
China Journal of Chinese Materia Medica
2017;42(22):4271-4276
- CountryChina
- Language:Chinese
-
Abstract:
In literature, there are many information on the distribution of Chinese herbal medicine. Limited by the technical methods, the origin of Chinese herbal medicine or distribution of information in ancient literature were described roughly. It is one of the main objectives of the national census of Chinese medicine resources, which is the background information of the types and distribution of Chinese medicine resources in the region. According to the national Chinese medicine resource census technical specifications and pilot work experience, census team with "3S" technology, computer network technology, digital camera technology and other modern technology methods, can effectively collect the location information of traditional Chinese medicine resources. Detailed and specific location information, such as regional differences in resource endowment and similarity, biological characteristics and spatial distribution, the Chinese medicine resource census data access to the accuracy and objectivity evaluation work, provide technical support and data support. With the support of spatial information technology, based on location information, statistical summary and sharing of multi-source census data can be realized. The integration of traditional Chinese medicine resources and related basic data can be a spatial integration, aggregation and management of massive data, which can help for the scientific rules data mining of traditional Chinese medicine resources from the overall level and fully reveal its scientific connotation.
