基于多源空间数据和随机森林模型的长沙市茶颜悦色门店选址与预测研究
黄钦, 杨波, 徐新创, 郝汉舟, 梁莉莉, 王敏

Location Selection and Prediction of SexyTea Store in Changsha City based on Multi-source Spatial Data and Random Forest Model
HUANG Qin, YANG Bo, XU Xinchuang, HAO Hanzhou, LIANG Lili, WANG Min
图1 2020年长沙市行政区划及同质性奶茶店空间分布
Fig. 1 The administrative division of Changsha City and the spatial distribution map of homogenous milk tea shops in 2020