标题：CoCA v1.0.0：基于元胞自动机模型的“土地-人口-经济”空间协同模拟平台

Title：CoCA v1.0.0：Spatial Cooperation Development Platform Simulation for "Land-Population-Economy" based on Cellular Automaton Model

介绍（Introduction）

CoCA，即基于元胞自动机模型的“土地-人口-经济”空间协同模拟平台，可以为广大城市研究人员和城市规划人员提供帮助。
CoCA, which stands for Cellular Automaton-based Spatial Cooperation Development Simulation Platform for "Land-Population-Economy", provides assistance to urban researchers and planners.

CoCA以地理空间数据为基础，提供了基础的GIS功能，如空间数据的导入、导出、符号化与漫游功能等。
CoCA provides essential GIS functionalities based on geospatial data, including basic features such as importing, exporting, symbolizing, and navigating spatial data.

CoCA提供了数据预处理功能，可以处理离散型数据和连续性数据。其功能包含设置空值、归一化、基于栅格计算器计算部分指标、空间重采样、基于遥感影像分类获取土地利用数据、空间投影和连续数据离散化等。
CoCA offers data preprocessing capabilities to handle both discrete and continuous data.These functionalities include setting null values, normalization, calculating partial indicators using the raster calculator, spatial resampling, acquiring land-use data based on remote sensing image classification, spatial projection and discretization of continuous data.

CoCA提供了离散型CA模拟方法，基于离散化方法完成城市发展要素的模拟。
CoCA provides discrete Cellular Automaton (CA) simulation, which utilizes discretization methods to simulate urban development factors.

同时，CoCA提供连续型CA模拟方法，基于连续型方法完成城市发展要素的模拟。
CoCA also offers continuous Cellular Automaton simulation, which uses continuous methods to simulate urban development factors.

CoCA提供了四种指标来评估离散型数据（如土地利用）和连续型数据（人口密度和GDP密度）的模拟结果，分别是品质因数（FoM）、总体精度（OA）、平均绝对百分比误差（MAPE）和均方根误差（RMSE）。
CoCA provides four indicators to evaluate the simulation results of both discrete data (e.g., land use) and continuous data (population density and GDP density). These indicators are Quality Factor (FoM), Overall Accuracy (OA), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE).

CoCA提供了一种逐步的多要素空间协同变化模拟方法，采用“层次递进”的思想。用户可以模拟预测不同场景下的城市发展要素。
CoCA provides a step-by-step, multi-factor spatial synergy simulation that utilizes a hierarchical and progressive approach. Users can simulate and predict urban development elements under different scenarios.

CoCA1.0功能（Features）

图 1 CoCA启动界面 Figure 1 User Interface(UI) for CoCA

图 2 编辑属性表 Figure 2 Edit attribute table

图 3 导入矢量文件界面 Figure 3 UI for import vector files

图 4 监督分类 Figure 4 Supervised classification

图 5 计算总体发展概率 Figure 5 Compute overall development probability

图 6 自适应CA模拟 Figure 6 Adaptive CA simulation

图 7 精度评估 Figure 7 Accuracy assessment

图 8 城市中心提取 Figure 8 Urban center extraction

图 9 城市要素连续性变化模拟 Figure 9 Simulating urban feature continuity changes

图 10 城市国土-人口-经济变化模拟 Figure 10 Simulating urban land-use, population, and economic changes

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

软件使用说明书（Software Manual）

中文说明书：

Manual in English:

软件下载（Software Download）

点击此处下载安装包 （Click here to download install pack）

CoCA目前仅为团队内测试使用，如果需要使用，请和姚尧老师（ yaoy@cug.edu.cn ）申请获取安装包密码。
来信请写清楚姓名、单位、联系方式、用途、合作方式和成果归属。

Currently, CoCA is only for testing within the team, if you need to use it, please apply to Yao Yao-sensei (yaoy@cug.edu.cn) to get the password of the installation package.
Please write clearly your name, organization, contact information, purpose, mode of cooperation and attribution of results.

Q.E.D.