1. 毕业设计（论文）的内容和要求

地理探测器是探测空间分异性，以及揭示其背后驱动因子的一种新的统计学方法。

本课题拟以python为开发技术语言，研究地理探测器的原理与机制，并设计与实现该空间分析模型。

该模型的设计、构建主要是以计算机、集成开发环境和gis软件为平台，实现地理探测器工具软件，并进一步探讨地理探测器的空间分析应用。

2. 参考文献

[1] Li Jungang, Yan Qingwu, Xiong Jibin, et al. Variation of vegetation index in coal mining areas in Guizhou province and its affecting factor. Journal of Ecology and Rural Environment, 2016, 32(3): 374-378. [李俊刚, 闫庆武, 熊集兵, 等. 贵州省煤矿区植被指数变化及其影响因子分析. 生态与农村环境学报, 2016, 32(3): 374-378.] [2] Shen J, Zhang N, Gexi G D R, et al. Construction of a GeogDetector- based model system to indicate the potential occurrence of grasshoppers in Inner Mongolia steppe habitats. Bulletin of Entomological Research, 2015, 105: 335-346. [3] Zhang N, Jiang Y C, Liu C Y, et al. A cellular automaton model for grasshopper population dynamics in Inner Mongolia steppe habitats. Ecological Modelling, 2016, 329: 5-17. [4] Liao Ying, Wang Xinyuan, Zhou Junming. Suitability assessment and validation of giant panda habitat based on geographical detector. Journal of Geoinformation Science, 2016, 18(6): 767-778. [廖颖, 王心源, 周俊明. 基于地理探测器的大熊猫生境适宜度评价模型及验证. 地球信息科学学报, 2016, 18(6): 767-778.] [5] Tong Laga, Xu Xinliang, Fu Ying, et al. Impact of environmental factors on snail distribution using geographical detector model. Progress in Geography, 2014, 33(5): 625-635. [通拉嘎, 徐新良, 付颖, 等. 地理环境因子对螺情影响的探测分析. 地理科学进展, 2014, 33(5): 625-635.] [6] Du Z, Xu X, Zhang H, et al. Geographical detector-based identification of the impact of major determinants on Aeolian desertification risk. PLoS ONE, 2016, 11(3): e0151331. doi: 0.1371/journal.pone.0151331. [7] Liang P, Yang X P. Landscape spatial patterns in the Maowusu (Mu Us) sandy land, northern China and their impact factors. Catena, 2016, 145: 321-333. [8] Zhan Donsheng, Zhang Wenzhong, Yu Jianhui, et al. Analysis of influencing mechanism of residents' livability satisfaction in Beijing using geographical detector. Progress in Geography, 2015, 34(8): 966-975. [湛东升, 张文忠, 余建辉, 等. 基于地理探测器的北京市居民宜居满意度影响机理. 地理科学进展, 2015, 34(8): 966-975.] [9] Todorova Y, Lincheva S, Yotinov I, et al. Contamination and ecological risk assessment of long-term polluted sediments with heavy metals in small hydropower cascade.Water Resources Management, 2016, 30: 4171-4184. [10] Wu R N, Zhang J Q, Bao Y H, et al. Geographical detector model for influencing factors of industrial sector carbon dioxide emissions in Inner Mongolia, China. Sustainability,2016,8(2): 149. [11] Zhou Lei, Wu Jianjun, Jia Ruijing, et al. Investigation of temporal-spatial characteristics and underlying risk factors of PM2.5 pollution in Beijing-Tianjin-Hebei Area. Research of Environmental Sciences 2016, 29(4): 483-493. [周磊, 武建军, 贾瑞静, 等. 京津冀PM2.5时空分布特征及其污染风险因素. 环境科学研究, 2016, 29(4): 483-493.] [12] Zhang Han, Ren Zhiyuan. Phenological characteristics of vegetable in Shaanxi province detected using Whittaker filter. Journal of Desert Research, 2015, 45(4): 901-906. [张晗, 任志远. 基于Whittaker 滤波的陕西省植被物候特征. 中国沙 漠, 2015, 45(4): 901-906.] [13] Xie Shuai, Liu Shibin, Duan Jianbo, et al. Spatial distribution characteristics of OSDS registered users and its influencing factors. Journal of Geo-information Science, 2016, 18(10): 1332-1340. [谢帅, 刘士彬, 段建波, 等. 2016. OSDS注册用户空间分布特征及影响因素分析. 地球信息科学学报, 2016, 18(10): 1332-1340.] [14] Wang Shaojian, Wang Yang, Lin Xueqin, et al. Spatial differentiation patterns and influencing mechanism of housing prices in China: Based on data of 2872 counties. Acta Geographica Sinica, 2016, 71(8): 1329-1342. [王少剑, 王洋, 蔺雪芹, 等. 中国县域住宅价格的空间差异特征与影响机制. 地理学报, 2016, 71(8): 1329-1342.] [15] Xu Qiurong, Zheng Xinqi. Analysis of influencing mechanism of urban growth using geographical detector. Acta Geodaetics et Cartographics Sinica, 2015, 44(S0): 96-101. [徐秋蓉, 郑新奇. 一种基于地理探测器的城镇扩展影响机理分析法. 测绘学报, 2015, 44(S0): 96-101.]

3. 毕业设计（论文）进程安排

12.20-12.31 浏览相关文献，并翻译英文论文；明确毕业设计思路，撰写开题报告。

1.1-2.28 收集、整理毕业设计课题数据与相关资料。

3.1-3.20 处理毕业设计所需基础数据，包括地图数据。