This is the official repository of “A Maps-to-Maps approach forsimulating urban land expansion based onconvolutional long short-term memoryneural networks
UrbanM2M is a ConvLSTM-based model for simulating future urban expansion. If you find this work useful, please cite our work at UrbanM2M-IJGIS
基于ConvLSTM神经网络的城市扩张模拟模型。 如果该模型对你有帮助，请引用我们的论文 UrbanM2M-IJGIS。
It is recommmend to use UrbanM2M in OpenGMS to simulate future urban expansion in your research area, because OpenGMS provides users with free computation resources.
As UrbanM2M is regional-transferable, you can simulate future urban expansion using various types of trained model directly, without costing time to train your own model.
However, only testing UrbanM2M is allowed in OpenGMS. If you want to train your own model, please see the next section for reference.
我们推荐在OpenGMS上使用UrbanM2M进行城市扩张模拟。OpenGMS是南京师范大学开发的一个在线地理模拟平台， 用户可以在平台上上免费的使用算力调用UrbanM2M，而不必纠结于电脑配置，且不用自己配置环境。
在OpenGMS，用户可以使用提前训练好的模型进行城市扩张模拟，而不必花费时间自己训练模型。
但在OpenGMS，用户仅可以调用已经训练好的模型进行模拟而不能自己训练模型。如果希望训练模型，请参考下一节。
See OpenGMS-UrbanM2M for detail.
You can also deploy and use UrbanM2M locally.
See UrbanM2M用户手册中文版 or UrbanM2M user manual-en for detail.