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Tao Hu
School of Information Engineering, Xuchang University, 88 Bayi Road, Xuchang 461000, China

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Journal article
Published: 13 May 2016 in ISPRS International Journal of Geo-Information
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With the coming era of big data and the rapid development and widespread applications of Geographical Information Systems (GISs), geocoding technology is playing an increasingly important role in bridging the gap between non-spatial data resources and spatial data in various fields. However, Chinese geocoding faces great challenges because of the complexity of the address string format in Chinese, which contains no delimiters between Chinese words, and the poor address management resulting from the existence of multiple address authorities spread among different governmental agencies. This paper presents a geocoding service based on an optimized Chinese address matching method, including address modeling, address standardization and address matching. The address model focuses on the spatial semantics of each address element, and the address standardization process is based on an address tree model. A geocoding service application is implemented in practice using a large quantity of data from Shenzhen Municipality. More than 1,460,000 data records were used to test the geocoding service, and good matching rates were achieved with good adaptability and intelligence.

ACS Style

Qin Tian; Fu Ren; Tao Hu; Jiangtao Liu; Ruichang Li; Qingyun Du. Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China. ISPRS International Journal of Geo-Information 2016, 5, 65 .

AMA Style

Qin Tian, Fu Ren, Tao Hu, Jiangtao Liu, Ruichang Li, Qingyun Du. Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China. ISPRS International Journal of Geo-Information. 2016; 5 (5):65.

Chicago/Turabian Style

Qin Tian; Fu Ren; Tao Hu; Jiangtao Liu; Ruichang Li; Qingyun Du. 2016. "Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China." ISPRS International Journal of Geo-Information 5, no. 5: 65.

Journal article
Published: 01 December 2014 in Entropy
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Hubei Province is the hub of communications in central China, which directly determines its strategic position in the country’s development. Additionally, Hubei Province is well-known for its diverse landforms, including mountains, hills, mounds and plains. This area is called “The Province of Thousand Lakes” due to the abundance of water resources. Geographical names are exclusive names given to physical or anthropogenic geographic entities at specific spatial locations and are important signs by which humans understand natural and human activities. In this study, geographic information systems (GIS) technology is adopted to establish a geodatabase of geographical names with particular characteristics in Hubei Province and extract certain geomorphologic and environmental factors. We carry out landscape analysis of mountain-related geographical names and water-related geographical names respectively. In the end, we calculate the information entropy of geographical names of each county to describe the diversity and inhomogeneity of place names in Hubei province. Our study demonstrates that geographical names represent responses to the cultural landscape and physical environment. The geographical names are more interesting in specific landscapes, such as mountains and rivers.

ACS Style

Xixi Chen; Tao Hu; Fu Ren; Deng Chen; Lan Li; Nan Gao. Landscape Analysis of Geographical Names in Hubei Province, China. Entropy 2014, 16, 6313 -6337.

AMA Style

Xixi Chen, Tao Hu, Fu Ren, Deng Chen, Lan Li, Nan Gao. Landscape Analysis of Geographical Names in Hubei Province, China. Entropy. 2014; 16 (12):6313-6337.

Chicago/Turabian Style

Xixi Chen; Tao Hu; Fu Ren; Deng Chen; Lan Li; Nan Gao. 2014. "Landscape Analysis of Geographical Names in Hubei Province, China." Entropy 16, no. 12: 6313-6337.

Journal article
Published: 14 March 2014 in International Journal of Environmental Research and Public Health
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Background: Hepatoma associated with hepatitis B infection is a major public health problem in Shenzhen (China) and worldwide. China has the largest number of people infected with the hepatitis B virus (HBV), and many studies have demonstrated that HBV infection is associated with hepatoma development. Shenzhen officials have been attempting to monitor and control these diseases for many years. The methodology and the results of this study may be useful in developing a system to monitor, prevent and control these diseases. Methods: The aim of the study was to analyze HBV infection and hepatoma distribution characteristics and patterns in Shenzhen by combining geographic information system (GIS) technology and spatial analysis. The study used data from patients at the district level from the 2010–2012 population censuses. Results: Only one-third of the patients were female, and 70.7% of all cases were 20–50 years of age. There was no global spatial correlation of the distribution of hepatitis B infections and hepatomas; however, there was a local spatial correlation, and certain sub-districts of the Nanshan district had significant agglomeration effects. Based on incidence density and rate maps, we can conclude that the Shenzhen special zone had a higher incidence density and rate of hepatitis B infections and hepatomas compared with the area outside of the Shenzhen special zone during 2010–2012. Conclusions: This study demonstrated substantial geographic variation in the incidence of hepatitis B infection and hepatoma in Shenzhen. The prediction and control of hepatitis B infections and hepatoma development and interventions for these diseases should focus on disadvantaged areas to reduce disparities. GIS and spatial analysis play an important role in public health risk-reduction programs and may become integral components in the epidemiologic description, analysis and risk assessment of hepatitis B and hepatoma.

ACS Style

Tao Hu; Qingyun Du; Fu Ren; Shi Liang; Denan Lin; Jiajia Li; Yan Chen. Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012. International Journal of Environmental Research and Public Health 2014, 11, 3143 -3155.

AMA Style

Tao Hu, Qingyun Du, Fu Ren, Shi Liang, Denan Lin, Jiajia Li, Yan Chen. Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012. International Journal of Environmental Research and Public Health. 2014; 11 (3):3143-3155.

Chicago/Turabian Style

Tao Hu; Qingyun Du; Fu Ren; Shi Liang; Denan Lin; Jiajia Li; Yan Chen. 2014. "Spatial Analysis of the Home Addresses of Hospital Patients with Hepatitis B Infection or Hepatoma in Shenzhen, China from 2010 to 2012." International Journal of Environmental Research and Public Health 11, no. 3: 3143-3155.