Abstract: Traditional workflow technology can't meet the requierments of spatial information services chaining aggregation because of the particularity of the long time cost of spatial data processing and the interface that workflow calls spatial information services chaining. The main problems lie in the mismatch of interface, and low efficiency. Thence, the model of spatial information service chaining aggregation is established, expending the model of traditional WPS chaining whose insufficient is considered. By analyzing the main problems between the interface and spatial data processing about spatial information services during the workflow scheduling, we present corresponding methods of the interface transformation to make the workflow call spatial information services chaining well, and adopt a strategy of GML-compressed scheduling to guarantee the spatial data flow be lowly transmitted on the network. Finally, the concrete solutions of spatial information services chaining processing are presented in the paper combined Kepler workflow engine. The experimental results show that this scheduling method not only breakthroughs interface bottlenecks through the interface transformation used in the workflow before, but also improves spatial information service chain execution efficiency through the strategy transformation of spatial data flow.