标题：CarbonVCA v1.0.0：微观地块尺度的城市碳排放模拟及预测平台
Title: CarbonVCA v1.0.0：A cadastral parcel-scale carbon emission simulation and prediction system
介绍（Introduction）
在过去的三个月里，我们正式完成了CarbonVCA的开发与测试。CarbonVCA是微观地块尺度的城市碳排放模拟及预测平台，可以用于广泛的城市研究和应用程序。
In the past three months, we have officially completed the development and testing of CarbonVCA. CarbonVCA is a cadastral parcel-scale carbon emission simulation and prediction system that can be used in a wide range of urban research and applications.
CarbonVCA提供了基础的GIS基础的功能，以地理空间数据为基础，拥有数据输入、数据编辑、数据存储与管理、空间查询与空间分析、可视化表达与输出等基本功能。
CarbonVCA provides basic GIS basic functions, based on geospatial data, with basic functions such as data input, data editing, data storage and management, spatial query and spatial analysis, visual expression and output.
CarbonVCA提供了数据预处理功能，可以对数据进行土地利用重分类、矢量动态地块分裂、土地利用数据匹配、栅格图像归一化和栅格图像重采样功能。
CarbonVCA provides data preprocessing capabilities for land use reclassification, vector dynamic parcel splitting, land use data matching, raster image normalization, and raster image resampling.
CarbonVCA提供了土地利用变化模拟模型，可以完成总体发展概率的计算、模拟土地利用变化并进行精度评价。
CarbonVCA provides a land-use change simulation model, which can complete the calculation of the overall development probability, simulate land-use change and conduct accurate evaluation.
CarbonVCA提供了矢量景观指数简单计算，以刻画地块特征。
CarbonVCA provides a simple calculation of the vector landscape index to characterize the characteristics of the plot.
CarbonVCA提供了随机森林模型的训练和碳排放核算与预测功能。用户可以模拟（预测）不同政策场景下的城市碳排放变化。
CarbonVCA provides training and carbon emission accounting and prediction functions for random forest models. Users can simulate (predict) changes in urban carbon emissions under different policy scenarios.
CarbonVCA 1.0 功能(Features)
图 1 CarbonVCA启动界面
Figure 1 User Interface(UI) for CarbonVCA
图 2 导入矢量文件界面
Figure 2 UI for import vector files
图 3 导入栅格文件界面
Figure 3 UI for import raster files
图 4 Category Relation编辑界面
Figure 4 UI for Category Relation
图 5 矢量动态地块分裂界面
Figure 5 UI for DLPS Split
图 6 土地利用数据匹配功能
Figure 6 UI for Parcel Match
图 7栅格归一化功能
Figure 7 UI for Raster Normalization
图 8栅格图像重采样功能
Figure 8 UI for Raster Resample
图 9 总体发展概率计算
Figure 9 UI for Calculating Pg
图 10 UrbanVCA模拟模块
Figure 10 UI for UrbanVCA
图 11 矢量景观指数计算
Figure 11 UI for VecLI
图 12 训练随机森林
Figure 12 UI for Model Training
图 13 碳排放的预测计算
Figure 13 UI for Carbon Emission
参考文献（Related references）
Yao, Y., Sun, Z., Li, L., Cheng, T., Chen, D., Zhou, G., Liu, C., Kou, S., Chen, Z., Guan, Q., 2023. CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions. Cities 138, 104354. https://doi.org/10.1016/j.cities.2023.104354 （站内链接(click here)）
软硬件系统需求 (Software and hardware system requirements)
内存 >= 4GB (RAM >= 4GB)
硬盘空间 >= 3GB (Hard Disk Space >= 3GB)
Windows 8.1及以上版本 (Windows 8.1/10 or above)
Visual C++ Redistributable 2017
软件下载 (Binary Download)
点此下载说明书-中文（download manual-Chinese）
Q.E.D.