Temat: IDW - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The use of ordinary kriging and inverse distance weighted interpolation to assess the odour impact of a poultry farming
Autorzy:: Sówka, Izabela
Pawnuk, Marcin
Grzelka, Agnieszka
Pielichowska, Anna
Powiązania:: https://bibliotekanauki.pl/articles/118608.pdf
Data publikacji:: 2020
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:: odour nuisance
field olfactometry
GIS
kriging
IDW
Opis:: The aim of the study was to determine the usefulness of spatial data interpolation methods in analyses of the odour impact of animal husbandry facilities. The interpolation methods of data obtained from measurements using the field olfactometry technique were the ordinary kriging method (OK) and the inverse distance weighted method (IDW). The quality of the analyses that have been obtained indicates the potentially better use of the OK method in the presentation of spatial odour concentration distributions.
Źródło:: Scientific Review Engineering and Environmental Sciences; 2020, 29, 1; 17-26
1732-9353
Pojawia się w:: Scientific Review Engineering and Environmental Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Calculation of Road Traffic Noise, Development of Data, and Spatial Interpolations for Traffic Noise Visualization in Three-dimensional Space
Autorzy:: Wickramathilaka, Nevil
Ujang, Uznir
Azri, Suhaibah
Choon, Tan Liat
Powiązania:: https://bibliotekanauki.pl/articles/27314297.pdf
Data publikacji:: 2023
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: spatial interpolation
3D
IDW
kriging
EBK
3D kriging
spatial developments
Opis:: Road traffic noise visualization is vital in three-dimensional (3D) space. Designing noise observation points (NOPs) and the developments of spatial interpolations are key elements for the visualization of traffic noise in 3D. Moreover, calculating road traffic noise levels by means of a standard noise model is vital. This study elaborates on the developments of data and spatial interpolations in 3D noise visualization. In 3D spatial interpolation, the value is interpolated in both horizontal and vertical directions. Eliminating flat triangles is vital in the vertical direction. Inverse distance weighted (IDW), kriging, and triangular irregular network (TIN) are widely used to interpolate noise levels. Because these interpolations directly support the interpolation of three parameters, the developments of spatial interpolations should be applied to interpolate noise levels in 3D. The TIN noise contours are primed to visualize traffic noise levels while IDW and kriging provide irregular contours. Further, this study has identified that the TIN noise contours fit exactly with NOPs in 3D. Moreover, advanced kriging interpolation such as empirical Bayesian kriging (EBK) also provides irregular shape contours and this study develops a comparison for such contours. The 3D kriging in EBK provides a significant approach to interpolate noise in 3D. The 3D kriging voxels show a higher accurate visualization than TIN noise contours.
Źródło:: Geomatics and Environmental Engineering; 2023, 17, 5; 61-85
1898-1135
Pojawia się w:: Geomatics and Environmental Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Analysis and simulation of wireless signal propagation applying geostatistical interpolation techniques
Autorzy:: Kolyaie, S.
Yaghooti, M.
Majidi, G.
Powiązania:: https://bibliotekanauki.pl/articles/130984.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: GIS
geostatistics
kriging
interpolation
IDW
radio propagation
prediction
geostatystyka
interpolacja
propagacja fal radiowych
uszczelnianie
Opis:: This paper is a part of an ongoing research to examine the capability of geostatistical analysis for mobile networks coverage prediction, simulation and tuning. Mobile network coverage predictions are used to find network coverage gaps and areas with poor serviceability. They are essential data for engineering and management in order to make better decision regarding rollout, planning and optimisation of mobile networks.The objective of this research is to evaluate different interpolation techniques in coverage prediction. In method presented here, raw data collected from drive testing a sample of roads in study area is analysed and various continuous surfaces are created using different interpolation methods. Two general interpolation methods are used in this paper with different variables; first, Inverse Distance Weighting (IDW) with various powers and number of neighbours and second, ordinary kriging with Gaussian, spherical, circular and exponential semivariogram models with different number of neighbours. For the result comparison, we have used check points coming from the same drive test data. Prediction values for check points are extracted from each surface and the differences with actual value are computed.The output of this research helps finding an optimised and accurate model for coverage prediction.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 261-270
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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