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Volume 29, Number 1—January 2023
Research

Integrating Citizen Scientist Data into the Surveillance System for Avian Influenza Virus, Taiwan

Hong-Dar Isaac Wu, Ruey-Shing Lin, Wen-Han Hwang, Mei-Liang Huang, Bo-Jia Chen, Tseng-Chang Yen, and Day-Yu ChaoComments to Author 
Author affiliations: National Chung Hsing University, Taichung, Taiwan (H.-D.I. Wu, W.-H. Hwang, M.-L. Huang, B.-J. Chen, T.-C. Yen, D.-Y. Chao); Taiwan Endemic Species Research Institute, Jiji Town, Taiwan (R.S. Lin)

Main Article

Figure 4

Land cover and bird distribution data for study of integrating citizen scientist data into the surveillance system for avian influenza virus, Taiwan. A) Percentages of 9 land-cover types in the total area of Taiwan main island (bars), area of poultry farms in the total area of indicated land-cover types (line). B, C) The clustering pattern of the area of each land-cover type (B) and the propensity score for each bird species from 3,764 grids partitioned by 3-km × 3-km squares of the main island of Taiwan (C), are based on principal component analysis and tSNE dimension reduction. Clusters are colored by the land-cover type as shown in panel A. For 4,762 grids, if 1 specific land-cover type is composed of >90% in the grid, such grid will be regarded as such specific land-cover type. Otherwise, it will be labeled as the mixed land-cover type. The labels of clusters in panels B and C are consistent with those in panel A. FF, farm field; FO, forest; FW, farm wetland; MD, meadow; mix, mixed land-cover types; tSNE, t-distributed stochastic neighbor embedding UB, urban; WB, water body.

Figure 4. Land cover and bird distribution data for study of integrating citizen scientist data into the surveillance system for avian influenza virus, Taiwan. A) Percentages of 9 land-cover types in the total area of Taiwan main island (bars), area of poultry farms in the total area of indicated land-cover types (line). B, C) The clustering pattern of the area of each land-cover type (B) and the propensity score for each bird species from 3,764 grids partitioned by 3-km × 3-km squares of the main island of Taiwan (C), are based on principal component analysis and tSNE dimension reduction. Clusters are colored by the land-cover type as shown in panel A. For 4,762 grids, if 1 specific land-cover type is composed of >90% in the grid, such grid will be regarded as such specific land-cover type. Otherwise, it will be labeled as the mixed land-cover type. The labels of clusters in panels B and C are consistent with those in panel A. FF, farm field; FO, forest; FW, farm wetland; MD, meadow; mix, mixed land-cover types; tSNE, t-distributed stochastic neighbor embedding UB, urban; WB, water body.

Main Article

Page created: November 30, 2022
Page updated: December 21, 2022
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