Performance of spatial interpolation methods in predicting GNSS zenith total delay
This study proposes an alternative approach to the grid-wise VMF1 over Europe, through
spatial interpolation of the site-wise VMF1 product. The performance of Ordinary Kriging and …
spatial interpolation of the site-wise VMF1 product. The performance of Ordinary Kriging and …
A simple permutation‐based test of intermodal correspondence
Many key findings in neuroimaging studies involve similarities between brain maps, but
statistical methods used to measure these findings have varied. Current state‐of‐the‐art …
statistical methods used to measure these findings have varied. Current state‐of‐the‐art …
Dependence of connectivity on geometric distance in brain networks
In any network, the dependence of connectivity on physical distance between nodes is a
direct consequence of trade-off mechanisms between costs of establishing and sustaining …
direct consequence of trade-off mechanisms between costs of establishing and sustaining …
Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence
With the increasing availability of neuroimaging data from multiple modalities—each
providing a different lens through which to study brain structure or function—new techniques …
providing a different lens through which to study brain structure or function—new techniques …
Spatial interpolation for periodic surfaces in manufacturing using a Bessel additive variogram model
High-resolution spatial data are essential for characterizing and monitoring surface quality in
manufacturing. However, the measurement of high-resolution spatial data is generally …
manufacturing. However, the measurement of high-resolution spatial data is generally …
Comparing different spatio-temporal modeling methods in dengue fever data analysis in Colombia during 2012–2015
J Ye, MJ Moreno-Madriñán - Spatial and Spatio-temporal Epidemiology, 2020 - Elsevier
In this paper, we compare a variety of spatio-temporal conditional autoregressive models to
a dengue fever dataset in Colombia, and incorporate an innovative data transformation …
a dengue fever dataset in Colombia, and incorporate an innovative data transformation …
[HTML][HTML] De-noised and contrast enhanced KH-9 HEXAGON mapping and panoramic camera images for urban research
AR Shahtahmassebi, M Liu, L Li, JX Wu, M Zhao… - Science of Remote …, 2023 - Elsevier
Abstract In 2002 and 2020–2022, KH-9 HEXAGON mapping camera system (MCS) and
panoramic camera system (PCS) images were made available to the public, respectively …
panoramic camera system (PCS) images were made available to the public, respectively …
Phase-synchronization-based parcellation of resting state fMRI signals reveals topographically organized clusters in early visual cortex
Resting-state fMRI is widely used to study brain function and connectivity. However,
interpreting patterns of resting state (RS) fMRI activity remains challenging as they may arise …
interpreting patterns of resting state (RS) fMRI activity remains challenging as they may arise …
Links between nanoscale and macroscale surface properties of natural root mucilage studied by atomic force microscopy and contact angle
R Kaltenbach, D Diehl, GE Schaumann - Journal of colloid and interface …, 2018 - Elsevier
Soil water repellency originating from organic coatings plays a crucial role for soil hydraulics
and plant water uptake. Focussing on hydrophobicity in the rhizosphere induced by root …
and plant water uptake. Focussing on hydrophobicity in the rhizosphere induced by root …
Matrix-valued isotropic covariance functions with local extrema
Multivariate random fields are commonly used in spatial statistics and natural science to
model coregionalized variables. In this context, the matrix-valued covariance function plays …
model coregionalized variables. In this context, the matrix-valued covariance function plays …