Map vector tile construction for arable land spatial connectivity analysis based on the Hadoop cloud platform

The concentrated connection of arable land is one the important indicators reflecting quality cultivated land, and large-scale blocks are more conducive to agricultural mechanization operation, thereby improving use efficiency. However, calculation farmland connectivity essentially a spatial vector data, especially for national or global patch data. This article proposes framework calculating based on map tiles parallelizes algorithm Hadoop cloud platform. tile pyramid model uses Douglas–Peucker simplify data meet needs rapid display under multi-scale. consistency integrity front ensured using setting buffer. Meanwhile, parallelization construction realized MapReduce programming mode. Finally, effectiveness usability this were verified through tillage map. Experiments show that can not only requirements but also support analysis greatly improve efficiency supporting calculation.