EasyXplorer: A Flexible Visual Exploration Approach for Multivariate Spatial Data

Author(s):

Feiran Wu ◽

Guoning Chen ◽

Jin Huang ◽

Yubo Tao ◽

Wei Chen

Keyword(s):

Spatial Data ◽

Visual Exploration ◽

Decomposition of multivariate spatial data into latent factors

Computers & Geosciences ◽

10.1016/j.cageo.2021.104773 ◽

2021 ◽

Vol 153 ◽

pp. 104773

Author(s):

Felipe Cabral Pinto ◽

Johnathan G. Manchuk ◽

Clayton V. Deutsch

Keyword(s):

Spatial Data ◽

Latent Factors ◽

Use of a tree-structured hierarchical model for estimation of location and uncertainty in multivariate spatial data

Journal of Chemometrics ◽

10.1002/cem.2611 ◽

2014 ◽

Vol 28 (6) ◽

pp. 523-538 ◽

Author(s):

Liyuan Chen ◽

Steven D. Brown

Keyword(s):

Hierarchical Model ◽

Spatial Data ◽

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

Exploring Multivariate Spatial Data: Line Transect Data

10.1007/978-3-642-60126-2_27 ◽

1999 ◽

pp. 211-220

Author(s):

Alessandra Capobianchi ◽

Giovanna Jona-Lasinio

Keyword(s):

Spatial Data ◽

Line Transect ◽

Data Line

Multivariate spatial data visualization: a survey

Journal of Visualization ◽

10.1007/s12650-019-00584-3 ◽

2019 ◽

Vol 22 (5) ◽

pp. 897-912 ◽

Cited By ~ 2

Author(s):

Xiangyang He ◽

Yubo Tao ◽

Qirui Wang ◽

Hai Lin

Keyword(s):

Data Visualization ◽

Spatial Data ◽

AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.3026657 ◽

2020 ◽

pp. 1-1

Author(s):

Saheli Ghosh ◽

Ahmed Eldway

Keyword(s):

Spatial Data ◽

Visual Exploration ◽

Spatial Index

Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

The Annals of Applied Statistics ◽

10.1214/11-aoas478 ◽

2011 ◽

Vol 5 (4) ◽

pp. 2519-2548 ◽

Cited By ~ 31

Author(s):

Huiyan Sang ◽

Mikyoung Jun ◽

Jianhua Z. Huang

Keyword(s):

Spatial Data ◽

Climate Model ◽

Data Sets ◽

Model Errors ◽

Spatial Data Sets

Modeling and Exploring Multivariate Spatial Variation: A Test Procedure for Isotropy of Multivariate Spatial Data

Journal of Multivariate Analysis ◽

10.1006/jmva.2000.1938 ◽

2001 ◽

Vol 77 (2) ◽

pp. 295-317 ◽

Author(s):

Giovanna Jona-Lasinio

Keyword(s):

Spatial Variation ◽

Spatial Data ◽

Test Procedure ◽

Visual exploration of high-dimensional spatial data: requirements and deficits

Computers & Geosciences ◽

10.1016/s0098-3004(99)00035-7 ◽

2000 ◽

Vol 26 (1) ◽

pp. 77-85 ◽

Author(s):

Christoph Uhlenküken ◽

Benno Schmidt ◽

Ulrich Streit

Keyword(s):

Spatial Data ◽

Visual Exploration ◽

High Dimensional ◽

Data Requirements

Latent Variable Analysis of Multivariate Spatial Data

Journal of the American Statistical Association ◽

10.1198/016214502753479437 ◽

2002 ◽

Vol 97 (457) ◽

pp. 302-317 ◽

Cited By ~ 29

Author(s):

William F Christensen ◽

Yasuo Amemiya

Keyword(s):

Spatial Data ◽

Latent Variable ◽

Latent Variable Analysis ◽

Variable Analysis

Universal kriging of multivariate spatial data under multivariate isotropic power type variogram model

10.1063/5.0039429 ◽

2021 ◽

Author(s):

Wayan Somayasa ◽

Makulau ◽

Yulius Bara Pasolon ◽

Desak Ketut Sutiari

Keyword(s):

Spatial Data ◽

Universal Kriging ◽

Power Type ◽

Variogram Model