<trans-title>Spatiotemporal Variability of Urban Management Events based on the Bayesian Spatiotemporal Model</trans-title>

POI类别	POI内容	均值(标准差)
餐饮服务类	中餐厅、快餐厅、外国餐厅、休闲餐饮场所等	0.77(1.20)
交通设施类	公交车站、物流站等	0.20(0.37)
居民住宅类	住宅区	0.35(0.58)
购物服务类	便利店、超市、烟酒专卖店、购物相关场所等	0.71(1.07)
生活服务类	美容美发店、洗浴推拿场所、生活服务场所等	0.71(1.00)
住宿服务类	酒店、旅馆、招待所等	0.13(0.38)
医疗保健类	医院、社区诊所、卫生院、药店、药房等	0.37(0.69)
公司企业类	公司、企业、工厂等	0.68(0.78)

Table 2. Candidate models with different components
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Table 2. Candidate models with different components
模型模型结构
M1 $\log (λ_{ijk}) = b_{0} + \sum_{p} β_{p} X_{pijk} + \log (E_{ij})$
M2 $\log (λ_{ijk}) = b_{0} + \sum_{p} β_{p} X_{pijk} + μ_{i} + ν_{i} + \log (E_{ij})$
M3 $\log (λ_{ijk}) = b_{0} + \sum_{p} β_{p} X_{pijk} + μ_{i} + ν_{i} + γ_{j} + φ_{j} + τ_{k} + \log (E_{ij})$

Table 3. Results of multicollinearity evaluation
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Table 3. Results of multicollinearity evaluation
协变量(POI密度) VIF 协变量(POI密度) VIF
餐饮服务类 4.53 生活服务类 5.17
交通设施类 1.37 住宿服务类 2.52
居民住宅类 2.26 医疗保健类 3.21
购物服务类 3.88 公司企业类 1.41

Table 4. DIC values for the various candidate models
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Table 4. DIC values for the various candidate models
事件类别候选模型 DIC
街面秩序 M1 36 873.15
M2 26 182.07
M3 24 851.99
市容环境 M1 27 093.02
M2 21 791.38
M3 19 099.85
宣传广告 M1 29 935.99
M2 23 364.75
M3 20 375.71

Table 5. Posterior mean and confidence intervals of potential covariates

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Table 5. Posterior mean and confidence intervals of potential covariates

协变量	街面秩序类	市容环境类	宣传广告类
截距项	0.586(0.549, 0.624)	0.654 (0.614, 0.697)	0.611 (0.573, 0.651)
餐饮服务类	1.083^*(1.032, 1.136)	1.065^*(1.017, 1.116)	1.086^* (1.036, 1.138)
交通设施类	1.105^*(1.047, 1.166)	1.056^* (1.001, 1.113)	1.091^* (1.035, 1.151)
居民住宅类	1.156^*(1.017, 1.315)	1.073 (0.949, 1.213)	1.118 (0.990, 1.263)
购物服务类	1.055(0.963, 1.157)	1.039 (0.950, 1.136)	1.052 (0.962, 1.150)
生活服务类	1.084^*(1.026, 1.145)	1.065^* (1.009, 1.125)	1.081^* (1.024, 1.141)
住宿服务类	1.158^*(1.019, 1.315)	1.201^* (1.070, 1.363)	1.205^* (1.069, 1.359)
医疗保健类	1.070(0.956, 1.162)	1.001 (0.931, 1.093)	1.081 (0.997, 1.171)
公司企业类	0.984(0.928, 1.043)	0.995 (0.941, 1.052)	0.944 (0.921, 1.031)

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Wenqian DONG, Liang DONG, Lin XIANG, Haijun TAO, Chuanhu ZHAO, Hanbing QU. Spatiotemporal Variability of Urban Management Events based on the Bayesian Spatiotemporal Model[J]. Journal of Geo-information Science, 2020, 22(5): 1073

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