Aggregation-cokriging for highly multivariate spatial data
نویسندگان
چکیده
منابع مشابه
Multivariate Lattice Models for Spatial Environmental Data
Environmental problems often include data that are not only spatial in nature, but also multidimensional with several measurements recorded at each spatial location. One example is the assessment of environmental equity. Figure 1 show maps of St. James Parish, Louisiana, with counts of whites and minorities for each of the twenty census block groups overlaid with the location of the facilities ...
متن کاملA Spatial Model for Multivariate Lattice Data
In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to the problem of environmental equity. Using a Bayesian hierarchical model that is multivariate in form, we examine ...
متن کاملHierarchical Modelling for Multivariate Spatial Data
Point-referenced spatial data often come as multivariate measurements at each location. Examples: Environmental monitoring: stations yield measurements on ozone, NO, CO, and PM2.5. Community ecology: assembiages of plant species due to water availibility, temerature, and light requirements. Forestry: measurements of stand characteristics age, total biomass, and average tree diameter. Atmospheri...
متن کاملDownscaling cokriging for image sharpening
The main aim of this paper is to show the utility of cokriging for image fusion (i.e. increasing the spatial resolution of satellite sensor images). It is assumed that co-registered images with different spatial and spectral resolutions of the same scene are available and the task is to generate new remote sensing images at the finer spatial resolution for the spectral bands available only at t...
متن کاملSpatial Aggregation: Data Model and Implementation
Data aggregation in Geographic Information Systems (GIS) is a desirable feature, only marginally present in commercial systems nowadays, mostly through ad-hoc solutions. Moreover, little attention has been given to the problem of integrating GIS and OLAP (On Line Analytical Processing) applications. In this paper, we first present a formal model for representing spatial data. This model integra...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrika
سال: 2011
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/asr029