| Description
| Big data acquisition in environmental space information is mainly based on 3S (GPS, GIS, RS), and the development of multi-scale remote sensing such as ground or unmanned aerial vehicle, i.e. a drone. The consolidation of the different types of data is an important learning issue. The regularity of the distribution of land features in time/space can be interpreted and analyzed by areas/(sequences) of potential distribution. In addition to the display of maps and visualization analysis, the subsequent establishments of spatial data (and relationships among) should further studied with spatial statistics, spatial hierarchy, spatial distribution patterns, spatial inter-correlation, spatial relationships and patterns, and other related technologies.
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