Fig. 1. Geo-parcels and coupling relationships of their TUPU

Fig. 2. Intelligent computation model of geo-parcels based on three sub-models: zoning-stratified perception, spatiotemporal synergistically inversion, and multi-granular decision-making

Fig. 3. Zoning-stratified perception model

Fig. 4. Spatiotemporal synergistically inversion model

Fig. 5. Multi-granular decision-making model

Fig. 6. Pattern mining and progressive relation of two-layer graph-spectrum based on geo-parcels

Fig. 7. Distribution pattern mining based on geo-parcels

Fig. 8. Experimental results of geo-parcels extraction with cultivated land in Xifeng County, Guizhou Province

Fig. 9. Growth pattern mining based on geo-parcels

Fig. 10. Experimental results of crop mapping based on geo-parcels in Xifeng County, Guizhou Province

Fig. 11. Functional pattern mining based on geo-parcels

Fig. 12. Experimental results of sugarcane planting suitability evaluation in Jiangzhou District of Chongzuo City, Guangxi

Fig. 13. Dynamic pattern mining based on geo-parcels