Results 21 to 30 of about 86,327 (302)
Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme
ISPRS International Journal of Geo-Information, 2023 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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Renmin Zhujiang, 2021 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
Interpolation of spatial data - a stochastic or a deterministic problem? [PDF]
, 2013 Interpolation of spatial data is a very general mathematical problem with various applications. In geostatistics, it is assumed that the underlying structure of the data is a stochastic process which leads to an interpolation procedure known as kriging ...
Schlather, Martin +2 more
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European Journal of Geography, 2023 Population data are commonly sourced from censuses, and to meet confidentiality requirements, they are spatially aggregated into standardized enumeration units.
Marios Batsaris +3 more
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Spatial interpolation using MLP–RBFN hybrid networks [PDF]
, 2013 http://dx.doi.org/10.1080/13658816.2013.769050It is easy for a multi-layered perception (MLP) to fit a stratified spatial interpolation pattern whose form is close to open surface; while it is easy for a radial basis function network (RBFN) to fit a ...
Yeh, I-Cheng; Kuan-Chieh Huang; Yau-Hwang Kuo +1 more
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Revista Facultad de Ingeniería Universidad de Antioquia, 2015 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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Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad [PDF]
Engineering and Technology Journal, 2018 Surface interpolation techniques are usually used to create continuous data (i.e. raster data) from distributed set of point data over a geographical region.
Muammar Ali +2 more
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Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics [PDF]
, 2021 Crop water use can be a useful indicator of in-season crop conditions including health and greenness on sodic soils. However, in-field manual measurements of crop water use can be tedious, time and labour-intensive and may also exhibit large spatial ...
Das, Sumanta +7 more
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Wind resource mapping using landscape roughness and spatial interpolation methods [PDF]
, 2015 Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise ...
Samuel Van Ackere +16 more
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