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Version 20190501
\n\nScatter Plot is a handy tool to maximize the efficiency of data visualization in atmospheric science. Many existing generalized data visualization software had been extensively used, but they remain unable to fulfill a number of specified research purposes in atmospheric science. That becomes the motivation of Scatter Plot development. 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. 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).
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For more details regarding the evaluation and application of Scatter Plot, please refer to
\n\nWu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi:10.5194/amt-11-1233-2018, 2018.
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Please cite this paper if Scatter Plot is used in your publication.
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The latest version of the program can be found on my website:
\n\nhttps://sites.google.com/site/wuchengust/
\n\n\n\nhttps://doi.org/10.5281/zenodo.832416
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Adoption in research publications:
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\nJi, 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. Chem. Phys., 19, 8569-8590, doi: 10.5194/acp-19-8569-2019, 2019.
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\nWang, N. and Yu, J. Z.: Size distributions of hydrophilic and hydrophobic fractions of water-soluble organic carbon in an urban atmosphere in Hong Kong, Atmos. Environ., 166, 110-119, doi: 10.1016/j.atmosenv.2017.07.009, 2017.
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\nWu, C., Huang, X. H. H., Ng, W. M., Griffith, S. M., and Yu, J. Z.: Inter-comparison of NIOSH and IMPROVE protocols for OC and EC determination: Implications for inter-protocol data conversion, Atmos. Meas. Tech. doi: 10.5194/amt-9-4547-2016, 2016.
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\nZhou, Y., Huang, X. H. H., Griffith, S. M., Li, M., Li, L., Zhou, Z., Wu, C., Meng, J., Chan, C. K., Louie, P. K. K., and Yu, J. Z.: A field measurement based scaling approach for quantification of major ions, organic carbon, and elemental carbon using a single particle aerosol mass spectrometer, Atmos. Environ., 143, 300-312, 2016.http://dx.doi.org/10.1016/j.atmosenv.2016.08.054
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\nQiao, T., Zhao, M., Xiu, G., and Yu, J.: Seasonal variations of water soluble composition (WSOC, Hulis and WSIIs) in PM1 and its implications on haze pollution in urban Shanghai, China, Atmos. Environ., 123, Part B, 306-314, 2015. http://dx.doi.org/10.1016/j.atmosenv.2015.03.010
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List of programs I developed:
\n\nScatterPlot
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\nHistogram and Boxplot
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\nMRS
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\nRT-ECOC raw data processor
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\nBenchtop Sunset ECOC analyzer data processor
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\nDRI 2001A data Sorter
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\nSMPS Toolkit
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\nMie Scattering
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\nAethalometer data correction
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=======================================================================================================
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Scatter Plot\u662f\u4e00\u4e2a\u65b9\u4fbf\u7684\u5de5\u5177,\u53ef\u4ee5\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u5927\u6c14\u79d1\u5b66\u4e2d\u6570\u636e\u53ef\u89c6\u5316\u7684\u6548\u7387\u3002 \u867d\u7136\u6709\u8bb8\u591a\u73b0\u6709\u7684\u901a\u7528\u6570\u636e\u53ef\u89c6\u5316\u8f6f\u4ef6,\u4f46\u4e0d\u80fd\u6ee1\u8db3\u8bb8\u591a\u5927\u6c14\u79d1\u5b66\u7279\u5b9a\u7684\u7814\u7a76\u76ee\u7684,\u6240\u4ee5\u6211\u5f00\u53d1\u81ea\u5df1\u7684\u7a0b\u5e8f\u3002 \u672c\u7a0b\u5e8f\u5305\u62ecWODR, Deming\u548cYork\u7b97\u6cd5\u8fdb\u884c\u7ebf\u6027\u56de\u5f52,\u8fd9\u4e09\u79cd\u7b97\u6cd5\u8003\u8651\u4e86X\u548cY\u90fd\u5305\u542b\u4e0d\u786e\u5b9a\u6027(\u89c2\u6d4b\u8bef\u5dee),\u5bf9\u5927\u6c14\u7684\u5e94\u7528\u800c\u8a00\u66f4\u52a0\u5ba2\u89c2\u5730\u53cd\u6620\u771f\u5b9e\u60c5\u51b5\u3002\u5b83\u662f\u57fa\u4e8eIgor\u7684,\u5e76\u4e14\u5305\u542b\u5927\u91cf\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u56fe\u5f62\u7ed8\u56fe\u7684\u6709\u7528\u529f\u80fd,\u5305\u62ec\u6279\u91cf\u7ed8\u56fe,\u901a\u8fc7\u56fe\u5f62\u754c\u9762\u5b9e\u73b0\u6570\u636e\u63a9\u853d,Z\u8f74\u7684\u989c\u8272\u7f16\u7801,\u6839\u636e\u6570\u636e\u6216\u5b57\u7b26\u4e32\u8fdb\u884c\u8fc7\u6ee4\u548c\u5206\u7ec4\u3002
\n\n\u6709\u5173Scatter Plot\u7684\u8bc4\u4f30\u548c\u5e94\u7528\u7684\u66f4\u591a\u7ec6\u8282,\u8bf7\u53c2\u9605(\u5982\u679c\u4f60\u5728\u6587\u7ae0\u4e2d\u7528\u5230\u4e86\u672c\u8f6f\u4ef6,\u8bf7\u5f15\u7528\u4ee5\u4e0b\u6587\u7ae0)
\n\nWu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi:10.5194/amt-11-1233-2018, 2018.
\n\n\n\n
\u5173\u4e8e\u7a0b\u5e8f\u7684\u6700\u65b0\u4fe1\u606f\u53ef\u4ee5\u5728\u6211\u7684\u7f51\u7ad9\u4e0a\u627e\u5230:
\n\nhttps://sites.google.com/site/wuchengust/
\n\n\n\nhttps://doi.org/10.5281/zenodo.832416
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", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2019-05-01", "publisher": "Zenodo", "resource_type": { "id": "software", "title": { "de": "Software", "en": "Software" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "Deming Regression" }, { "subject": "York Regression" }, { "subject": "Weighted orthogonal distance regression" } ], "title": "Scatter Plot", "version": "20190501" }, "parent": { "access": { "owned_by": { "user": 34093 } }, "communities": {}, "id": "832416", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.832416", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.3464233", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:3464233", "provider": "oai" } }, "revision_id": 14, "stats": { "all_versions": { "data_volume": 13529050113.0, "downloads": 984, "unique_downloads": 900, "unique_views": 7013, "views": 8875 }, "this_version": { "data_volume": 3101893724.0, "downloads": 284, "unique_downloads": 267, "unique_views": 3229, "views": 4279 } }, "status": "published", "updated": "2020-08-21T03:40:35.124433+00:00", "versions": { "index": 5, "is_latest": false } }