Evaluation of methods of spatial interpolation for monthly rainfall data over the state of Rio de Janeiro, Brazil
Sign Up to like & getrecommendations! Published in 2017 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-017-2322-3
Abstract: Five deterministic methods of spatial interpolation of monthly rainfall were compared over the state of Rio de Janeiro, southeast Brazil. The methods were the inverse distance weight (IDW), nearest neighbor (NRN), triangulation with linear interpolation… read more here.
Keywords: state; interpolation monthly; methods spatial; spatial interpolation ... See more keywords
Spatial Interpolation of Gauge Measured Rainfall Using Compressed Sensing
Sign Up to like & getrecommendations! Published in 2020 at "Asia-Pacific Journal of Atmospheric Sciences"
DOI: 10.1007/s13143-020-00200-7
Abstract: In this work, we suggest new spatial precipitation interpolation schemes using compressed sensing (CS), which is a new framework for signal acquisition and smart sensor design. Using CS, the precipitation maps are recovered in high… read more here.
Keywords: high resolution; compressed sensing; spatial interpolation; using compressed ... See more keywords
Analysis of local-scale urban heat island characteristics using an integrated method of mobile measurement and GIS-based spatial interpolation
Sign Up to like & getrecommendations! Published in 2017 at "Building and Environment"
DOI: 10.1016/j.buildenv.2017.03.013
Abstract: Abstract Across a complex urban region with diversified urban patterns, the local climate usually varies with time and space. Achieving accurate local climatic characteristics by using efficient field survey method contributes to providing theoretical support… read more here.
Keywords: measurement; spatial interpolation; local scale; method ... See more keywords
A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2.5
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2019.117729
Abstract: Abstract Nowadays, real-time air pollution monitoring has been an important approach for supporting pollution control and reduction. However, due to the high construction cost and limited detection range of monitoring stations, not all the air… read more here.
Keywords: air; interpolation extrapolation; spatial interpolation; methodology ... See more keywords
A generalized heterogeneity model for spatial interpolation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2147530
Abstract: Abstract Spatial heterogeneity refers to uneven distributions of geographical variables. Spatial interpolation methods that utilize spatial heterogeneity are sensitive to the way in which spatial heterogeneity is characterized. This study developed a Generalized Heterogeneity Model… read more here.
Keywords: heterogeneity; spatial interpolation; heterogeneity model; interpolation ... See more keywords
Spatial interpolation based on previously-observed behavior: a framework for interpolating spaceborne GNSS-R data from CYGNSS
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Spatial Science"
DOI: 10.1080/14498596.2021.1942253
Abstract: This study presents a framework for spatially interpolating Cyclone Global Navigation Satellite System (CYGNSS) data over land. The method, Previously-Observed Behavior Interpolation (POBI), assume... read more here.
Keywords: observed behavior; interpolation based; spatial interpolation; based previously ... See more keywords
Comparison of spatial interpolation methods to create high-resolution poverty maps for low- and middle-income countries
Sign Up to like & getrecommendations! Published in 2018 at "Journal of The Royal Society Interface"
DOI: 10.1098/rsif.2018.0252
Abstract: High-resolution poverty maps are important tools for promoting equitable and sustainable development. In settings without data at every location, we can use spatial interpolation (SI) to create such maps using sample-based surveys and additional covariates.… read more here.
Keywords: high resolution; low middle; poverty maps; spatial interpolation ... See more keywords
Quantitative Analysis of the Performance of Spatial Interpolation Methods for Rainfall Estimation Using Commercial Microwave Links
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hydrometeorology"
DOI: 10.1175/jhm-d-20-0164.1
Abstract: Using signal level measurements from commercial microwave links (CMLs) has proven to be a valuable tool for near-ground 2D rain mapping. Such mapping is commonly based on spatial interpolation methods, where each CML is considered… read more here.
Keywords: commercial microwave; interpolation methods; performance; spatial interpolation ... See more keywords
A generalized spatial autoregressive neural network method for three-dimensional spatial interpolation
Sign Up to like & getrecommendations! Published in 2023 at "Geoscientific Model Development"
DOI: 10.5194/gmd-16-2777-2023
Abstract: Abstract. Spatial interpolation, a fundamental spatial analysis method, predicts unsampled spatial data from the values of sampled points. Generally, the core of spatial interpolation is fitting spatial weights via spatial correlation. Traditional methods express spatial… read more here.
Keywords: generalized spatial; neural network; spatial interpolation; spatial autoregressive ... See more keywords