Comparing Spatial Interpolation Methods for Mapping Meteorological Data in Turkey

Keskin, Merve; Doğru, Ahmet Özgür; Balçık, Filiz Bektaş; Göksel, Çiğdem; Ulugtekin, Necla; Sözen, Seval

doi:10.1007/978-3-319-16024-5_3

Cited by 21 publications

(13 citation statements)

References 7 publications

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“…Site 29, situated far from the other sites, was excluded from this analysis. Wind speed was estimated using the inverse weighted distance interpolation method (Keskin et al 2015 ). Temperature and RH layers were developed employing a linear regression model using residual-corrected altitude as the independent, explanatory variable.…”

Section: Methodsmentioning

confidence: 99%

Density assessment and reporting for Phlebotomus perniciosus and other sand fly species in periurban residential estates in Spain

et al. 2021

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Green periurban residential areas in Mediterranean countries have flourished in the last decades and become foci for leishmaniasis. To remedy the absence of information on vector ecology in these environments, we examined phlebotomine sand fly distribution in 29 sites in Murcia City over a 3-year period, including the plots of 20 detached houses and nine non-urbanized sites nearby. We collected 5,066 specimens from five species using “sticky” interception and light attraction traps. The relative frequency of the main Leishmania infantum vector Phlebotomus perniciosus in these traps was 32% and 63%, respectively. Sand fly density was widely variable spatially and temporally and greatest in non-urbanized sites, particularly in caves and abandoned buildings close to domestic animal holdings. Phlebotomus perniciosus density in house plots was positively correlated with those in non-urbanized sites, greatest in larger properties with extensive vegetation and non-permanently lived, but not associated to dog presence or a history of canine leishmaniasis. Within house plots, sand fly density was highest in traps closest to walls. Furthermore, the study provides a guideline for insect density assessment and reporting and is envisioned as a building block towards the development of a pan-European database for robust investigation of environmental determinants of sand fly distribution.

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Section: Methodsmentioning

confidence: 99%

Density assessment and reporting for Phlebotomus perniciosus and other sand fly species in periurban residential estates in Spain

et al. 2021

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“…For keeping this method simple and fast and also because grid points are not very close with a distance of about 50 km, only four neighbouring points were considered for interpolation. Inverse Distance Weighting is a commonly used method in meteorology [26], which in several cases has been proved to be the best method for interpolation among others [28] [29], such as Kriging. As Bicubic Interpolation delivered negative wind speeds in some cases it was discarded for further use.…”

Section: Simulation Of Wind Power Generationmentioning

confidence: 99%

Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil

Gruber

Klöckl

Regner

et al. 2019

Energy

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“…Comparative studies between the application of semivariance and inverse interpolation of distance power are compromised because most of the researchers use the power of 2, although they are not ideal for such variables studied. One example is the study done by Luo et al (2008) and Keskin et al (2015) which reported that the IPD result was inadequate and attributed it to the weight at points where it is influenced by neighboring points, being this value weight 2 for the study of wind spatialization. These data obtained for the wind velocity are an indispensable application for the estimation of the average velocities and bursts of the wind in regions of agricultural interest, contributing to the calculation of the more accurate ETo (Allen et al, 1998).…”

Section: Estimated Power Value Performancementioning

confidence: 99%

Power parameters for spatialization the speed and gust of wind to a region of the sub-medium part of São Francisco, Brazil

Lopes¹,

Leal

Melo

et al. 2019

Rev. Bras. Geog. Fis.

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As the average velocity and gust of wind present stability with varying distances, they allow in a simpler way the creation of continuous fields using spatial interpolation methods. The objective of this work was to obtain the power parameters for the Inverse Distance Power (IPD) interpolation method, in the spatialization of daily values of the average velocities (Vv) and wind gust (Vr), during the annual, winter, spring, summer and autumn in the sub-medium part of São Francisco region, Brazil. The power (p) parameters of the IPD of the average velocities and wind gust velocity. The minimum MAE values for Vv were 0.57; 0.63; 0.59; 0.45 and 0.62 m s-1 for the annual, winter, spring, summer and autumn, respectively, with corresponding p values equal to 3.4; 3.6; 2.9; 4.2 and 3.1. And for Vr, they were 0.89; 0.99; 0.86; 0.75 and 1.01 m s-1 with corresponding values of p, 3.3; 3.6; 2.9; 4.2 and 3.1 for the same periods. There is agreement between the measured and estimated values of Vv and Vr using the data of the second period, obtained with the cross-validation methodology, with R² values of 98.68% and 98.79%, respectively.

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Comparing Spatial Interpolation Methods for Mapping Meteorological Data in Turkey

Cited by 21 publications

References 7 publications

Density assessment and reporting for Phlebotomus perniciosus and other sand fly species in periurban residential estates in Spain

Density assessment and reporting for Phlebotomus perniciosus and other sand fly species in periurban residential estates in Spain

Assessing the Global Wind Atlas and local measurements for bias correction of wind power generation simulated from MERRA-2 in Brazil

Power parameters for spatialization the speed and gust of wind to a region of the sub-medium part of São Francisco, Brazil

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