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  • Feb. 1, 2019: The spatiotemporal distribution pattern of PM2.5 is influenced by many environmental factors, we analyzed the spatial distribution and variation characteristics of PM2.5 concentrations in the YRD from 2005–2015. This paper is now available on Atmosphere.

    Jan. 12,2019: Shaoqing Dai obtainted the scientific and technological innovation award of outstanding graduate students of the Ecological Society of China in the 9th national symposium of young ecologist.

    Nov. 20,2018: Shaoqing Dai obtainted the national scholarship for M.Sc.

    Nov. 15,2018: The spatiotemporal distribution pattern of the surface temperatures of urban forest canopies (STUFC) is influenced by many environmental factors, and the identification of interactions between these factors can improve simulations and predictions of spatial patterns of urban cool islands. We determine the mechanisms that influence the surface temperature of urban forest canopies by combining Remote Sensing methods, ground observations, and spatial statistical models. This paper is now available on Remote Sensing.

    Oct. 28,2018: Shaoqing Dai, Weixu Yang and Jiajia Li won the national third prize in the 2th big data supports spatial plannning and design competition. More detailed information can see it.

    Oct. 24,2018: The urban space environment is an important factor for urban crimes. A greater walkability of city can reduce the crime rate in many Criminal Geography theories. However, there is few empirical studies in China. Previous studies on Criminal Geography paid more attention to the role of urban environment in crime prevention, and lack of attention to its auxiliary function of criminal investigation. We analyzed the impact of urban walking environment on robbery, snatch and theft crime (RST). and found the walking environment probably has a positive effect on the RST crime in H city, the greater walkability, the more RST. This paper is now available on Scientia Geographica Sinica. The push article is now abailable on here.

Selected Publications

The urban space environment is an important factor for urban crimes. A greater walkability of city can reduce the crime rate in many Criminal Geography theories. However, there is few empirical studies in China. Previous studies on Criminal Geography paid more attention to the role of urban environment in crime prevention, and lack of attention to its auxiliary function of criminal investigation. This study built a multi-source spatial database by combining the theory of CPTED, Defensible Space, Criminal Behavior and Geographic Profiling. The municipal district of H city located in the southeastern coastal region of China was taken as a case study area. The Walk Score and criminal geographic targeting model were applied for the measurement. The Pearson correlation coefficient, generalized linear model, geographically weighted generalized linear regression model were used to analyze the impact of urban walking environment on robbery, snatch and theft crime (RST). The results showed that the walking environment probably has a positive effect on the RST crime in H city, the greater walkability, the more RST. The effects of walking environment probably has spatial heterogeneity features both on RST and the residence probability of suspects. There were different impacts of walking environment on the RST and the residence probability of suspects in different regions. The areas near the major transportation hubs or along the main road have great walking environment. However, they probably have more RST and higher residence probability of suspects than other places based on result of model. Although the high-grade hotels, commercial buildings and tourist attractions have great walking environment, there were low RST and the residence probability of suspects based on result of model due to the sound security and personnel access control system. This research provides a reference for prevention and investigation for robbery, snatch and theft crime.
In Scientia Geographica Sinica, 2018.

Recent Publications

More Publications

. PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015. In Atmosphere, 2019.

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. Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models. In Remote Sensing, 2018.

PDF DOI

. Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient. In International Journal of Environmental Research and Public Health, 2018.

PDF DOI

. Influence of Walking Environment on Robbery, Snatch and Theft Crime in Urban Area, H City, China(Chinese). In Scientia Geographica Sinica, 2018.

PDF Slides DOI

. Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale. In Remote Sensing, 2018.

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Recent & Upcoming Talks

More Talks

High-Resolution Mapping of Direct CO2 Emissions and Uncertainties at the Urban Scale
May 22, 2018 16:15
The Environmental Effect of Urban Form on PM2.5
Nov 11, 2017 16:55
The Assement Platform of Urban Forest Ecosystem Servcie Based on InVEST model and IOT
Sep 28, 2017 10:00
The Criminal Geographical Analysis about Walking Environment of Urban
Nov 27, 2016 14:10

Projects

Open academic software and code

I provide some open academic software and code.

Spatial analysis, spatial statistics and its application in geographical, ecological and environmental research

Spatial analysis and spatial statistics are important tools for geographical, ecological and environmental research. Besides, I’m a big fan of the fourth paradigm: data-intensive scientific discovery. In big data era, how to explore the relationship in complex, big system? It must need big data handle technology, spatial analysis and spatial statistics. There are more and more data including location information.

The environmental and healthy effects of urban blue and green space

We want to know how the pattern of blue space and green space in urban influence the urban underlying surface and ecological process.

Virtual geographic environments and its applications

I’m interested in virtual geographic environments(VGEs). I have also focused on VGEs at Fujian Normal University and have some interesting results.

Professional Services

Awards & Honors

  • 2019: The Scientific and Technological Innovation Award of Outstanding Graduate Students of the Ecological Society of China, China.
  • 2018: National Scholarship for M.Sc. , China
  • 2018: The National Third Prize in Urban Big Data Special Committee, Chinese Society for Urban Studies the 2nd Big Data Support Spatial Planning and Design Competition, China
  • 2018: “Applied Energy” 2018 Summer School Certification, China.
  • 2018: Merit Students, University of Chinese Academy of Sciences, China.
  • 2018: The Second Scholarship, Institute of Urban Environment, Chinese Academy of Sciences, China.
  • 2018: The National Winning Award in 2017 “Sharing Cup” College Student Science and Technology Resource Sharing Service Innovation Contest, China.
  • 2017: Merit Students, University of Chinese Academy of Sciences, China.
  • 2015: The National Winning Award in 2015 Esri Cup National Collegiate Developed Contest in GIS·3D Modeling and Design, China.
  • 2015: The National Third Prize in the “Smart City” Special Competition of 14th “Challenge Cup” National College Student Curricular Academic Science and Technology Works Competition, China.
  • 2015: The First Annual Fujian Normal University Student Selection, Scientific and Technological Innovation award and Nomination, China.
  • 2015: Scientifc and Technological Inovation Scholoarships of Fujian normal University, China.
  • 2014: The School Wining Award during the 9th “Challenge Cup” Fujian Normal University College Student Curricular Academic Science and Technology Works Competition, China.
  • 2014: The National Third Prize in 2014 MathorCup Global Collegiate Mathematical Contest in Modeling Certifcate of Achievement, China.
  • 2014: “Excellent League Cadres” award of Fujian Normal University, China.
  • 2014: Scientifc and Technological Inovation Scholoarships of Fujian normal University, China.
  • 2014: “Outstanding communist Youth League cadres” award of Fujian Normal University, China.
  • 2013: “Outstanding communist Youth League cadres” award of Fujian Normal University, China.

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