Geographical Simulation and Optimization System (GeoSOS)                                                                                                                                                              Global LUCC simulation product at a 1-km resolution

Future Land Use Simulation Model Software:


     Our newly proposed FLUS model is an integrated model for multi-type land use scenario simulations by coupling human and natural effects. At the same time, the spatial simulation module of the FLUS model was made into GUI software named GeoSOS-FLUS . The GeoSOS-FLUS was developed as an extension of the previous GeoSOS software to facilitate the multiple land use change simulations. The software provides a multiple CA allocation model for simulating land use change and scenario analysis.

    The multiple CA allocation model is developed based on the theory of Cellular Automata (CA), but with several improvements over traditional CA:

    To ensure the speed of the model, GeoSOS-FLUS was developed purely in the C++ language. The ANN technique in our model is from a powerful open source library called Shark 3.1.0 ( The UI of the software is built using a famous open source library Qt 4.8.5 ( This UI provides a real-time display of dynamic changes of land use in simulation processes. Moreover, the use of the open source library GDAL 1.9.2 ( allows our model to directly read and write raster data (.tif, .img, .txt files) that includes geographical coordinate information.

     Therefore, the GeoSOS-FLUS is a powerful tool for making land use change simulations more convenient and efficient, which can be easily used for several purposes including: 1) the establishment of urban construction boundaries (UCBs); 2) the high-resolution simulation of internal land use change within a city; 3) environmental management and urban planning; 4) large-scale land use change and its effect on climate; 5) regional land suitability analysis; 6) early warning for the loss of natural and agricultural land cover types; and 7) hotspot recognition for land-use change. When simulating future land use patterns, users need other external models, such as the SD model or Markov chain, to project future land use demands as inputs of GeoSOS-FLUS.

    A user’s manual is available for downloading at a link that appear below, which can provide users of GeoSOS-FLUS a “quick start” on how to use the software. All of the necessary data and files for the tutorial have been provided and can be used as templates for formatting your own files later on.







    You can download the paralleled version FLUS V2.4 here GeoSOS-FLUS V2.4

    You can download UGB-FLUS/FLUS V2.3 here GeoSOS-FLUS V2.3

    You can download a English version of User Manual for GeoSOS-FLUS here GeoSOS-FLUS Manual_En

    You can download a Chinese version of User Manual for GeoSOS-FLUS here GeoSOS-FLUS Manual_CHS



    Liu Xiaoping, Liang Xun, Li Xia*, Xu Xiaocong*, Ou Jinpei , Chen Yimin, Li Shaoying, Wang Shaojian , and Pei Fengsong. 2017. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 168: 94–116. (PDF Fulltext)

    Liang Xun , Liu Xiaoping*, Li Dan, Zhao Hui, Chen Guangzhao. 2018 . Urban growth simulation by incorporating planning policies into a CA-based future land-use simulation model. International Journal of Geographical Information Science, 32(11): 2294–2316. (PDF Fulltext)

    Liang Xun , Liu Xiaoping*, Li Xia*, Chen Yimin, Tian He, Yao Yao. 2018 . Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning, 177: 47–63. (PDF Fulltext)

    Liang Xun, Liu Xiaoping*, Chen Guangliang, Leng Jiye, Wen Youyue & Chen Guangzhao. 2020. Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones. International Journal of Geographical Information Science, 0(0): 1–23. (PDF Fulltext)

    If you have any ideas, suggestions, comments, criticisms, or questions, please contact Dr. Xun Liang at the following e-mail address:, we would love to hear from you about our model or software.


Last updated: 25 March, 2020