很管用的GIS控件，对于进行GIS开发的人员很有帮助，第一次发请多关照-very effective GIS component for GIS development for the staff helpful, first made news conference for the

很有价值的决策树算法，值得学习和研究，欢迎ＧＩＳ行业的学者和我联系-valuable Decision Tree Algorithm, it is worth learning and research, welcomed the GIS industry and academics to contact me

This package provides a Maximum Entropy Modeling toolkit written in C++ with Python binding. It includes:  Conditional Maximum Entropy Model  L-BFGS Parameter Estimation  GIS Parameter Estimation  Gaussian Prior Smoothing  C++ API 

基于双层组合神经网络的土壤重金属污染评价与GIS可视化过程-Double-layer neural network based on heavy metal pollution assessment and GIS visualization process