Results 111 to 120 of about 917,096 (229)
Exploratory disease mapping: kriging the spatial risk function from regional count data
International Journal of Health Geographics, 2004 Background There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface.
Berke Olaf
doaj +1 more source
Monotonicity-Preserving Bootstrapped Kriging Metamodels for Expensive Simulations [PDF]
Kriging (Gaussian process, spatial correlation) metamodels approximate the Input/Output (I/O) functions implied by the underlying simulation models; such metamodels serve sensitivity analysis and optimization, especially for computationally expensive ...
Beers, W.C.M. van, Kleijnen, Jack P.C.
core +1 more source
Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction
Environmental Research CommunicationsThis study advances environmental monitoring by predicting the spatial and temporal distribution of Harmful Algal Blooms (HABs) in the Republic of Korea through a hybrid approach that combines geostatistical and deep learning methods.
Sung Jae Kim, Yongbok Cho
doaj +1 more source
Interpolation and Synthesis of Sparse Samples in Exoplanet Atmospheric Modeling
The Planetary Science JournalThis paper highlights methods from geostatistics that are relevant to the interpretation, intercomparison, and synthesis of atmospheric model data, with a specific application to exoplanet atmospheric modeling.
Jacob Haqq-Misra +3 more
doaj +1 more source
A Geostatistical Approach to Define Guidelines for Radon Prone Area Identification [PDF]
Radon is a natural radioactive gas known to be the main contributor to natural background radiation exposure and the major leading cause of lung cancer second to smoking.
Daniela de Bartolo +3 more
core
Kriging Universal para Datos Funcionales
, 2011 En diversos ámbitos de la ciencia con gran frecuencia los resultados suelen reflejarse por medio de curvas (datos funcionales). Con este trabajo se pretende dar una solución al problema de la predicción espacial de datos funcionales cuando no se evidencia estacionariedad.
openaire +1 more source
Kesirli üniversal kriging meta-modeli
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 2021 M. Balaban, Berna Dengiz
semanticscholar +1 more source
Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging [PDF]
Cokriging is a multivariate spatial method to estimate spatial correlated variables. This method allows spatial estimations to be made and interpolated maps of house price to be created.
Jorge Chica-Olmo
core
National PM2.5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging. [PDF]
Science of the Total Environment, 2018 Hao Xu +6 more
semanticscholar +1 more source