GIS and field-based spatiotemporal analysis for evaluation of paleo-ice sheet simulations
Reconstructing paleo–ice sheets is significant for paleoclimate reconstructions and evaluations of sea level low stands. Accurate reconstructions of paleo–ice sheet dimensions and dynamics necessitate the combination of field evidence and process modeling. In this study, a GIS-based technique was developed to quantitatively assess model output against geomorphic data. However, implementation of this technique is not straightforward and requires consideration of time-space relationships, data representation, resolution, and analytical design. Combined use of two software tools holds considerable promise for the use, application, and interpretation of refined ice sheet models.
It designs a decision support system based on data mining and OLAP technologies,and researches three Data Mining methods integrated into SQL Server. At last,an example to show its application in data processing and pattern recognition of a geographic information system are given.