Abstract
It is of great practical significance to analyze and demonstrate more effectively the occurrence of forest diseases, which is an important subfield in the study of forest disasters. On the basis of such features of forest disease occurrence as timing, geography and disaster grade, we synthetically employ multiple visual elements and multiple interactive technologies to design and realize a forest disease visual analysis system to assist researchers and decision makers on issues related to forest diseases. With cases selected from the data set of forest diseases, we illustrate that the system is user-friendly and the applied visualization methods are effective.
Graphical abstract
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Aigner W, Miksch S, Schumann H, Tominski C (2011) In: Karat J, Vanderdonckt J (eds) Visualization of time-oriented data. Human-computer interaction series. Springer, London
Becker R, Ceveland A, William S (1987) Brushing scatterplots. Technometrics 29(2):127–142
Bureau S.F (1998–2014) China forestry statistics yearbook. China Forestry Press, Beijing
Chen Q, Xu Z, Zhang L, Lu P, Zhang Y (2018) Geostatistical analysis of the spatial distribution of arhopalus rusticus larvae and adults. Acta Ecol Sin 38(3):975–983. https://doi.org/10.5846/stxb201611182350
Chen W, Shen Z, Tao Y (2013) Data Visualization. Publishing House of Electronics Industry, Beijing
Chen Y, You Y, He Z, Zeng Y (2014) Analysis on temporal–spatial feature of forest fires in Chongqing. Chin Agric Sci Bull 13:51–58
Furnas GW (1986) Generalized fisheye views. Acm Sigchi Bull 17(4):16–23
Hartigan JA, Wong MA (1979) A \(k\) means clustering algorithm. Appl Stat 28(1):100–108
He K, Lu B (2018) Investigation and analysis of diseases and insect pests in fine variety base of Pinus massoniana Lamb. in Guizhou. Agric Technol 38(1):91–93. https://doi.org/10.11974/nyyjs.20180132038
Holten D (2006) Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. IEEE Trans Vis Comput Gr 12(5):741–748. https://doi.org/10.1109/TVGC.2006.147
Holten D, Van Wijk JJ (2009) Force-directed edge bundling for graph visualization. Comput Gr Forum 28(3):983–990. https://doi.org/10.1111/j.1467-8659.2009.01450.x
Hu L, Zheng C, Yu S, Huang F, Zhang W (2013) Analysis of the species and distribution of taxus in Kaihua county in Zhejiang province. East China For Manag (02), 5–7+13
Hu Q, Hu T, Wang Y, Wang S, Cao K (2016) Survey on the occurrence and distribution of apple diseases in China. Plant Prot 42(01):175–179. https://doi.org/10.3969/j.issn.0529-1542.2016.01.032
Huang Y (2010) Analysis on the trend of major forest diseases and pests in Sanming city. Fujian Sci Technol Trop Crops 02:18–20
Inselberg A (1985) The plane with parallel coordinates. Vis Comput 1(2):69–91. https://doi.org/10.1007/bf01898350
Johnson B, Shneiderman B (1991) Tree-maps: a space-filling approach to the visualization of hierarchical information structures. In: Proceedings of IEEE Conference on Visualization, 1991. Visualization ’91, pp 284–291
Li S (2018) Types of fungal diseases in Guanmenshan region in Benxi Manchu autonomous county. Prot For Sci Technol (1), 54–56 https://doi.org/10.13601/j.issn.1005-5215.2018.01.017
Li Z, Wang X (2005) Eof analysis of spatial and temporal variation of forest fire in Zhejiang province. In: Chinese meteorological society annual meeting 2005, p 8
Liu S, Wu Y, Wei E, Liu M, Liu Y (2013) Storyflow: tracking the evolution of stories. IEEE Trans Vis Comput Gr 19(12):2436–45
Liu T (2016) The influence of forest disasters on the economic growth of forestry in China. China For Ind 2016(10):192
Liu X, Yang Z, Wang G, Li G (2016) Study on the main disease distribution of alfalfa in Heilongjiang province. Chin J Grassl 38(05):115–120. https://doi.org/10.16742/j.zgcdxb.2016-05-19
Mayinuer M, Zumina Sajida A, Guo Q (2017) Species and distribution of cotton root and stem diseases in eastern Xinjiang based on molecular detection. Xinjiang Agric Sci 54(11):2046–2053. https://doi.org/10.6048/j.issn.1001-4330.2017.11.011
Ocagne M (1885) Coordonnes parallles and axiales: mthode de transformation gomtrique et procd nouveau de calcul graphique dduits de la considration des coordonnes parallles. Nature 31:551. https://doi.org/10.1038/031551b0
Peng Q, Dong Z, Geng Y, Ma J (2003) Drawing forest pest distribution maps with computer. For Pest Dis 22(02):30–31. https://doi.org/10.3969/j.issn.1671-0886.2003.02.013
Plaisant C, Mushlin R, Snyder A, Li J, Dan H, Shneiderman B (2003) Lifelines: using visualization to enhance navigation and analysis of patient records. Proc Amia Symp 5(1):76–80
Rosling H (2006) The best stats you’ve ever seen http://www.ted.com
Sarkar M, Brown MH (1992) Graphical fisheye views of graphs. In: Sigchi conference on human factors in computing systems, pp 83–91
Shang X, Yao Y, Zhao W (2015) Geographic distribution of an invasive insect pest, Obolodiplosis robiniae (diptera: Cecidomyiidae) in China. For Pest Dis 2015(04):33–36. https://doi.org/10.3969/j.issn.1671-0886.2015.04.009
Tanahashi Y, Ma KL (2012) Design considerations for optimizing storyline visualizations. IEEE Trans Vis Comput Gr 18(12):2679–2688. https://doi.org/10.1109/TVCG.2012.212. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6327274
Torguson JS (2016) Choropleth map. Wiley, New York. https://doi.org/10.1002/9781118786352.wbieg0951
Wang TD, Plaisant C, Shneiderman B, Spring N, Roseman D, Marchand G, Mukherjee V, Smith M (2009) Temporal summaries: supporting temporal categorical searching, aggregation and comparison. IEEE Trans Vis Comput Gr 15(6):1049–56
Wen X, Li H, Kuang Y (1999) The situation of forest diseases and pests in Jiangxi province in 1998 and the analysis of the trend of pest situation in 1999. Jiangxi Plant Prot 02:4–6
Wilson JM (2003) Gantt charts: a centenary appreciation. Eur J Oper Res 149(2):430–437. https://doi.org/10.1016/S0377-2217(02)00769-5. http://www.sciencedirect.com/science/article/pii/S0377221702007695
Xu X, Sun H, Li M (2018) Study on the distribution and prevention of forest pest in Hongshan district of Chifeng city based on gis. Inner Mong For Investigation Des 41(01), 57–58+60 https://doi.org/10.13387/j.cnki.nmld.2018.01.021
Yang F, Zhang A, Meng F, Huo L, Li X, Di D, Miao H (2018) Distribution and genetic diversity of Barley yellow striate mosaic virus in northern China. Sci Agric Sin 51(2):279–289. https://doi.org/10.3864/j.issn.0578-1752.2018.02.008
Zhang PX, Zeng JP, Zeng C, Peng LH (2014) Status quo, losses and trend of forest diseases from 2000 to 2010 in China. Biol Disaster Sci 0(2):101–108. https://doi.org/10.3969/j.issn.2095-3704.2014.02.001
Acknowledgements
The authors thank the reviewers for their comments. This work is supported by National Forestry Industry Research Special Funds for Public Welfare Projects (No. 201204503) and the Fundamental Research Funds for the Central Universities (No. 2015ZCQ-XX).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yang, B., Cao, W. & Tian, C. Online visual analysis of forest diseases. J Vis 22, 197–213 (2019). https://doi.org/10.1007/s12650-018-0522-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12650-018-0522-2