Z.: Size distributions of hydrophilic and hydrophobic fractions of water-soluble organic carbon in an urban atmosphere in Hong Kong, Atmos. J*.: Potential exposure to fine particulate matter (PM2.5) and black carbon on jogging trails in Macau, Atmos. Ji, D., Gao, W., Maenhaut, W., He, J., Wang, Z., Li, J., Du, W., Wang, L., Sun, Y., Xin, J., Hu, B., and Wang, Y.: Impact of air pollution control measures and regional transport on carbonaceous aerosols in fine particulate matter in urban Beijing, China: insights gained from long-term measurement, Atmos. Z*.: Estimation and Uncertainty Analysis of Secondary Organic Carbon Using One‐Year of Hourly Organic and Elemental Carbon Data. J.*: Vertical profiling of fine particulate matter and black carbon by using unmanned aerial vehicle in Macau, China, Sci. J., and Zhou, Z.*: Time-resolved black carbon aerosol vertical distribution measurements using a 356-m meteorological tower in Shenzhen, Theor. J., Zhou, Q., Liang, Y., Sun, T., Song, L., Cheng, P., Yang, W., Pei, C., Chen, Y., Cen, Y., Nian, H., and Zhou, Z.*: Amplification of black carbon light absorption induced by atmospheric aging: temporal variation at seasonal and diel scales in urban Guangzhou, Atmos. The latest version of the program can be found on my website: Please cite this paper if Scatter Plot is used in your publication. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Scatter Plot is Igor based, and packed with a variety of useful features for data analysis and graph plotting, including batch plotting, data masking via GUI, color coding in Z-axis, data filtering and grouping on different time scales (year, season, month, hour, day of week, etc).įor more details regarding the evaluation and application of Scatter Plot, please refer to The program includes Deming and York algorithm for linear regression, which considers uncertainties in both X and Y, and is more realistic for atmospheric applications. That becomes the motivation of Scatter Plot development. Many existing generalized data visualization software had been extensively used, but they remain unable to fulfill a number of specify research purposes in atmospheric science. Scatter Plot is a handy tool to maximize the efficiency of data visualization in atmospheric science. Click “Export mask as txt” to export. Demo video: Regressed slopes, intercepts, R2 and other metrics can be found in the csv file if “Export txt for batch plot” was selected.Ģ) weekday/weekend and daytime/nighttime quick selection.ģ) Daytime/nighttime and weekend/weekday options are provided in Text by list data filtering.Ĥ) The mask wave can be exported to a csv file for further use. Batch plotting can be applied on following scales: Year Year/Month Month Year/Season Season YYYY/MM/DD Day of week Hour of day text data (User defined, Weekday/weekend, Daytime/nighttime). Each trace will be assigned to a specified color according to the rainbow color table. In overlaid mode, all traces are combined in a single plot, as shown below.
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