Research on geostatistical analysis approaches

Linan Wang, Jinxin He, Tianyu

Abstract

Geostatistical analysis methods are widely used in many fields, has become an important branch of statistics. For a long time, Geo-statistics can not be combined with GIS analysis model very well, which became a big regret of GIS software. ESRI ArcGIS Geo-statistical Analyst made a bridge between geo-statistics and GIS, making the complex geostatistical approaches be easily implemented in this software, reflects the people-oriented, visual development trend. This combination have an important groundbreaking, predicted by measuring the surface of statistical error, GIS people could be able to quantified the quality of the surface of the model for the first time.

Relevant Publications in Journal of Chemical and Pharmaceutical Research