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A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng +3 more
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The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information ...
HUANG Huaping, YIN Kaixia, JIN Gaoyang
doaj
Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types [PDF]
Statistical models of the relationship between precipitation and topography are key elements for the spatial interpolation of rain-gauge measurements in high-mountain regions.
D. Masson, C. Frei
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Spatial interpolation of precipitation depending on elevation: Case study of the Skrapež River, Western Serbia [PDF]
In order to make an adequate basic dataset for a subsequent hydrological research, the study of interpolation of precipitation values from measurement stations (points) to large areas (areas) was done.
Kovačević-Majkić Jelena +1 more
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Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management.
Seungwoog Jung, Seungwan Han, Hoon Choi
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The theory and practical application of techniques of statistical interpolation are studied in this thesis, and new developments in multivariate spatial interpolation and the design of sampling plans are discussed. Several applications to studies in soil science are presented.Sampling strategies for collecting spatial data (both the number of ...
TianXiang Yue +3 more
+6 more sources
This paper presents a procedure to address the lack of spatial air quality data in urban areas, based on the use of Geographic Information Systems (GIS) and spatial interpolation techniques as an alternative to conventional methods of statistical ...
Libardo Antonio Londoño-Ciro +1 more
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Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Spatial interpolation using conservative fuzzy reasoning [PDF]
Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations.
Wong, K.W., Wong, P.M., Gedeon, T.
core

