首页 | 本学科首页   官方微博 | 高级检索  
     


Modelling map positional error to infer true feature location
Authors:Jarrett J. Barber  Alan E. Gelfand  John A. Silander
Abstract:The authors consider the issue of map positional error, or the difference between location as represented in a spatial database (i.e., a map) and the corresponding unobservable true location. They propose a fully model‐based approach that incorporates aspects of the map registration process commonly performed by users of geographic informations systems, including rubber‐sheeting. They explain how estimates of positional error can be obtained, hence estimates of true location. They show that with multiple maps of varying accuracy along with ground truthing data, suitable model averaging offers a strategy for using all of the maps to learn about true location.
Keywords:Bayesian inference  Bayesian model averaging  Berkson model  bivariate spatial process  coregionalization  measurement error
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号